Protocol: At every decision point, assign a T-number, email Harnoor, and continue working with best-guess default. When Harnoor returns, he references the T-number with instructions; TITAN applies + closes task.
Live date: 2026-04-21 — protocol instituted per Harnoor directive at 03:52 UTC.
Each task entry uses one of these status values:
open — no work started, awaiting decision or resourcein_progress — work actively landingblocked — work stopped on an external dependencyready_for_review — TITAN produced a deliverable for Harnoor to approveclosed — resolved (either Harnoor approved or default was executed and accepted)Each task MUST include a last_updated: YYYY-MM-DD field so HERALD's dormancy sweep can detect real motion vs unrelated registry edits (Observation 1). Closed tasks auto-archive on the first Monday of each month to archive/TASK-REGISTRY-YYYY-MM-closed.md (Observation 3).
---
silentinfinity-leads Lambda + DDB live? AWS account same as innerverse-mirror? Separate stack?silentinfinity-leads, CORS locked to https://silentinfinity.com, DDB table silentinfinity-leads with PITR + email-index GSI. All infra shipped as a dependency of T009 when the dashboard went live. - Lambda: silentinfinity-leads (us-east-1, arm64, python3.12)
- API Gateway: https://wxhjnf4xef.execute-api.us-east-1.amazonaws.com/leads
- Dashboard: https://leads.silentinfinity.com/
- Admin token stored at F:/TITAN/secrets/silentinfinity-leads-admin-token.txt (emailed 2026-04-21)
From: on lead auto-replies? contact@silentinfinity.com, hello@silentinfinity.com, or the existing harnoors@gmail.com?contact@silentinfinity.com (domain-verified via Route 53 DKIM). If that email isn't yet a real mailbox, I'll set up forwarding to harnoors@gmail.com.contact@silentinfinity.com. INBOUND mail at contact@ is a follow-up (MX currently only handles bounces; needs ImprovMX or SES receive-rule + Lambda). Smoke test MessageId 0100019db04618c3-3be3157f-b2d5-4500-962b-601e4a529183-000000. Full log in F:/TITAN/plans/task-registry/T002-ses-domain-setup.log.contact@silentinfinity.com → harnoors@gmail.com via ImprovMX free tier (fast/cheap path chosen over SES-receive+Lambda). - Route 53 MX record UPSERTed in hosted zone Z06831253QG9ZEXH69EC6 (change id /change/C10451543D0JGU3YVSYH3):
- ADDED 10 mx1.improvmx.com
- ADDED 20 mx2.improvmx.com
- KEPT 30 feedback-smtp.us-east-1.amazonses.com (priority-30 safety net — per constraint, do NOT drop SES bounce MX until ImprovMX confirms)
- Ops runbook at F:/TITAN/plans/task-registry/T002-improvmx-setup.md (signup URL, form fields, ownership-TXT command with placeholder swap, verification, cleanup, AWS-native alternative path)
- Verification script at F:/TITAN/scripts/improvmx-verify.sh (checks DNS MX, ImprovMX API domain status, alias registration, Route 53 record sanity)
- CLI log at F:/TITAN/plans/task-registry/T002-improvmx-setup.log
- Change-batch artifacts: _r53-improvmx-mx.json (applied), _r53-improvmx-ownership-txt.json (template — Harnoor swaps placeholder for real ImprovMX token then applies)
- Deviation from brief: did NOT pre-seed improvmx-ownership=PLACEHOLDER TXT. ImprovMX issues the real token at signup; pre-seeding a placeholder pollutes DNS without buying verification. The exact UPSERT command (with real-token swap point) is in the runbook Step 3 and as a ready-to-edit change-batch JSON template.
- Keeping SES bounce MX at priority 30 is safe: ImprovMX wins routing (priority 10/20), but if Harnoor never claims the domain, mail falls through to SES which bounces it cleanly instead of silently blackholing. DKIM/DMARC/outgoing SES unaffected.
- Cleanup step (remove SES bounce MX) is only safe to run AFTER ImprovMX dashboard shows all green.
1. Open https://improvmx.com/domains/add → submit silentinfinity.com / alias contact / forward harnoors@gmail.com
2. Copy the ownership token ImprovMX displays
3. Paste token into the prebuilt UPSERT command in T002-improvmx-setup.md Step 3 and run it
4. Run bash F:/TITAN/scripts/improvmx-verify.sh
5. Send a test email to contact@silentinfinity.com, confirm Gmail delivery
6. Run the cleanup change-batch to drop the priority-30 SES bounce MX
- User Pool silentinfinity-users (us-east-1_wkJnkZumx) — email sign-in, case-insensitive, self-service signup, optional TOTP MFA, 10/digit/symbol password policy, deletion protection ON
- App client silentinfinity-web (4e1lvnbjr3rt3uh5sv2gcfnsn4) — public SPA, code grant only, scopes openid email profile, callbacks to silentinfinity.com + localhost
- Hosted UI default: https://silentinfinity-auth.auth.us-east-1.amazoncognito.com
- Hosted UI custom: https://auth.silentinfinity.com — ACM cert ISSUED (48182c70-…), Cognito custom domain behind CloudFront d2eky6xltglxao.cloudfront.net, Route 53 A-alias placed (DNS propagating)
- CloudFormation mirror at F:/projects/silentinfinity-sso/infra/cognito.yaml (validates clean)
- Setup README at F:/projects/silentinfinity-sso/README.md
- Full run log at F:/TITAN/plans/task-registry/T003-cognito-sso-setup.log
- T003-Google-creds — create Google OAuth client at console.cloud.google.com. Steps + exact CLI in F:/TITAN/secrets/cognito-google-placeholder.txt.
- T003-Apple-creds — create Apple Sign-In Services ID + .p8 key (needs paid Apple Developer account). Steps in F:/TITAN/secrets/cognito-apple-placeholder.txt.
- T003-Resend-SMTP — verify silentinfinity.com with Resend + swap pool EmailSendingAccount to DEVELOPER. Currently on Cognito default sender (50/day SES sandbox — OK for dev).
- T003-MagicLink — Define/Create/VerifyAuthChallenge Lambda trio for passwordless. [CLOSED 2026-04-21 ~14:20 UTC]
- Stack: silentinfinity-magic-link (us-east-1) — CREATE_COMPLETE 2026-04-21 ~14:15 UTC
- Lambda ARNs:
- Define: arn:aws:lambda:us-east-1:516005192254:function:silentinfinity-magic-link-define
- Create: arn:aws:lambda:us-east-1:516005192254:function:silentinfinity-magic-link-create
- Verify: arn:aws:lambda:us-east-1:516005192254:function:silentinfinity-magic-link-verify
- PreSignUp: arn:aws:lambda:us-east-1:516005192254:function:silentinfinity-magic-link-pre-signup
- Shared IAM role: arn:aws:iam::516005192254:role/silentinfinity-magic-link-role (SES SendEmail scoped to ses:FromAddress == contact@silentinfinity.com, CW Logs, X-Ray)
- Cognito wiring: all 4 triggers attached to pool us-east-1_wkJnkZumx via infra/attach-triggers.sh; ALLOW_CUSTOM_AUTH added to app client 4e1lvnbjr3rt3uh5sv2gcfnsn4
- Cognito invoke perms: created inside the stack as AWS::Lambda::Permission resources (no separate CLI step needed; source-ARN scoped to the user pool)
- Smoke test:
- Created user harnoors@gmail.com (UserConfirmed=true via PreSignUp trigger) → UserSub 4488a478-a0b1-70fe-5f94-a9cdba5ae63e
- InitiateAuth CUSTOM_AUTH returned ChallengeName: CUSTOM_CHALLENGE with hint "A sign-in code was sent to h******s@gmail.com."
- Session token (ephemeral, use for manual RespondToAuthChallenge test): AYABeDd2cnnWR-wlMk3jyrpiUuIAHQABAAdTZXJ2aWNlABBDb2duaXRvVXNlclBvb2xzAAEAB2F3cy1rbXMAS2Fybjphd3M6a21zOnVzLWVhc3QtMToNzQ1NjIzNDY3NTU1OmtleS9iMTU1YWZjYS1iZjI5LTRlZWQtYWZkOC1hOWUwOTM2NTNkYmUA... (full value in deploy log)
- CreateAuthChallenge Lambda log: email.sent (no exception; SES MessageId in extra= payload, not stringified)
- SES GetSendStatistics confirms +1 DeliveryAttempt at 2026-04-21T13:32Z (no bounce/reject)
- Bugs fixed during deploy:
- infra/attach-triggers.sh — python heredocs referenced os.environ["CUR"] before the env was exported; added export CUR="$CUR_JSON" + export LAMBDA_CFG. Also switched /tmp/_si_pool_update.json → ./_si_pool_update.json because the Windows-native AWS CLI can't resolve Git Bash's /tmp/.
- Harnoor's next steps:
1. Check harnoors@gmail.com inbox for a Silent Infinity sign-in email (subject: Your Silent Infinity sign-in code: <8 chars>)
2. Optional manual end-to-end: aws cognito-idp respond-to-auth-challenge --client-id 4e1lvnbjr3rt3uh5sv2gcfnsn4 --challenge-name CUSTOM_CHALLENGE --session <SESSION> --challenge-responses USERNAME=harnoors@gmail.com,ANSWER=<code-from-email> --region us-east-1 → expect AuthenticationResult with IdToken/AccessToken/RefreshToken
3. Password on the seeded signup is a throwaway (Tmp!Placeholder-2026-Apr-21-DoNotUse-xK9q) — the user signs in via magic-link only; no action required, or Harnoor can delete the user with aws cognito-idp admin-delete-user ... and rely on re-signup next time the flow runs
- Full deploy log: F:/TITAN/plans/task-registry/T003-magic-link-deploy.log
/voice for all users, or feature-flag it to 5% cohort first?variants.py, gate the link from the main UI behind the flag. Safer given sub-300ms competitor benchmark + untested TTS cost at scale.voice_ws.py.scripts/js_lint.py extracts all <script> blocks from src/handler.py + src/leads.py and runs node --check. Wired into Makefile js-lint as a prereq for package. Second-pass scout audit found 0 P0s, 0 P1s, 0 P2s, 0 P3s. Original What\'s your inner weather? bug fixed to What\u2019s your inner weather? via Unicode escape. Convention locked: any apostrophe inside a JS string within a Python triple-quoted string MUST use \u2019, never \'. Documented in scripts/js_lint.py header.variants.py + variant registry to cover HTML/JS template strings so pre-existing-bug class (single-quote-apostrophe) can never ship again. Requires a 1-2 day refactor.node --check to the deploy pipeline (done in this session's Makefile); run parallel scout audit of ALL JS blocks in handler.py for similar issues; file R-tasks for each finding. - Full memo (~2,900 words): F:/TITAN/plans/advisors/FEEDBACK-SIGNAL-v2-MEMO-2026-04-21.md
- One-page summary (~310 words): F:/TITAN/plans/advisors/FEEDBACK-SIGNAL-v2-MEMO-2026-04-21_SUMMARY.md
- Option A (Sentinel only): 22 — strong floor, insufficient ceiling
- Option C (session-end word): 22 — highest cultural fit, ship first
- Option D (long-press hidden): 21 — Kano delighter, ship second
- Option E (weekly digest): 19 — highest signal quality, Q3 dependency
- Option B (micro-prompt): 17 — Goodhart risk, hold at weight=0
session_end_reflection weight=100bubble_longpress_reactions weight=20---
leads.silentinfinity.com (self-documenting for internal tools — also register admin.silentinfinity.com as CNAME alias). S3 bucket leads-admin-silentinfinity behind CloudFront + ACM cert, Route 53 A-record alias. Bearer-token-gated per T004 default.- Dashboard live at https://leads.silentinfinity.com/ (HTTP 200, served via CloudFront JFK50-P15 POP, smoke-tested)
- API Gateway: https://wxhjnf4xef.execute-api.us-east-1.amazonaws.com/leads (GET w/ bearer token returns 200, empty items)
- Lambda: silentinfinity-leads (us-east-1, arm64, python3.12)
- DynamoDB: silentinfinity-leads (PITR on, email-index GSI)
- CloudFront distribution EP1QJLMZN6ZHZ (d2v34ec5nnqvq5.cloudfront.net) — Status: Deployed
- ACM cert: arn:aws:acm:us-east-1:516005192254:certificate/c3ecc63c-18ef-433f-9c66-aecde1829828
- Admin token stored at F:/TITAN/secrets/silentinfinity-leads-admin-token.txt
- Full deploy log: F:/TITAN/plans/task-registry/T009-leads-subdomain-deploy.log
- admin.silentinfinity.com CNAME alias NOT created (not in task brief — can add later if desired)
- Verify SES sender contact@silentinfinity.com (see T002) — needed before form POSTs send auto-reply emails
- Submit a test lead via main site to exercise end-to-end
---
- Registry live at F:/projects/innerverse/backend/src/variants.py — Variant dataclass, VariantRegistry with register / active / get_config / all_for / log_exposure, singleton VARIANTS, pluggable Logger interface (StdoutLogger default, Kinesis wiring deferred).
- SHA-256-of-uid → mod 100 for deterministic rollout buckets. VARIANTS_FORCE_<CATEGORY> env overrides supported.
- Seeded categories: llm_model (sonnet-4.6-prod 95% / haiku-4.5-cheap 5% / opus-4.7-premium staged 0%), system_prompt (v1-conversational-long 100%), voice_stt (transcribe-streaming 100% + deepgram/whisper experimental 0%), voice_tts (polly-ruth-neural 100% + polly-ruth-generative staged + elevenlabs-rachel experimental), voice_ui_page (mandala-orb 10% per T005 + flagged-off 90%), rating_widget_style (40 variants summing to 100%).
- First migration: bedrock_client.invoke_stream() now resolves model id via _resolve_model_id(user_hash) → env > registry > DEFAULT_MODEL_ID. Zero behavior change for production today (still Sonnet 4.6 for 95% of uids).
- 23/23 new unit tests pass (tests/test_variants.py); 55/55 existing bedrock tests + 224/224 handler tests still green.
RATING_VARIANT_IDS → registry fetch, pricing.py numbers, crisis-patterns registration)---
crisis_detector_model, sentinel_model, small_talk_model, crisis_flow_model, synthesis_model).llm_model registry (sonnet 95% / haiku 5%) unchanged. - Full memo: F:/TITAN/plans/advisors/DARWIN-MODEL-TIERING-PROPOSAL-v1-2026-04-21.md (~3,800 words)
- One-page summary: F:/TITAN/plans/advisors/DARWIN-MODEL-TIERING-PROPOSAL-v1-2026-04-21_SUMMARY.md
1. Add crisis_detector_model and sentinel_model categories to variants.py (Stage 1 — Week 1-2)
2. Add small_talk_model canary at 20% Haiku (Stage 2 — Week 2-4)
3. Add crisis_flow_model with Opus 4.7 at 5% canary (Stage 3 — Month 2, after instrumentation complete)
4. Add synthesis_model 100% Haiku + Batch API flag (Stage 2 — Week 2-4, no user impact)
5. Wire turn_class label to llm-costs.jsonl before any experiment begins
---
leads.silentinfinity.com and admin.silentinfinity.com on the same CloudFront distribution. - New ACM cert issued: arn:aws:acm:us-east-1:516005192254:certificate/69cf33ea-d566-4d44-965b-8fb834415454 (SANs: leads.silentinfinity.com, admin.silentinfinity.com) — Status: ISSUED
- CloudFront distribution EP1QJLMZN6ZHZ updated: aliases now [leads, admin], viewer cert swapped to new ARN, Status: Deployed
- Route 53: admin.silentinfinity.com A + AAAA aliases → d2v34ec5nnqvq5.cloudfront.net (zone Z06831253QG9ZEXH69EC6)
- Smoke test: curl -I https://admin.silentinfinity.com/ returns HTTP 200 OK (identical ETag to leads.silentinfinity.com — same S3 origin confirmed)
- Old cert c3ecc63c-18ef-433f-9c66-aecde1829828 is now unused; leave a soak period then it can be deleted.
- Full log: F:/TITAN/plans/task-registry/T-cleanup-2026-04-21.log
silentinfinity.com bounce + complaint notifications through a single SNS topic (disable direct mailbox forwarding). - SNS topic: arn:aws:sns:us-east-1:516005192254:silentinfinity-ses-feedback
- Email subscription created for harnoors@gmail.com (Protocol: email) — SubscriptionArn: PendingConfirmation
- SES identity silentinfinity.com: BounceTopic + ComplaintTopic set to the SNS ARN, ForwardingEnabled flipped to false
- TODO (Harnoor): Check gmail inbox for message from no-reply@sns.amazonaws.com subject "AWS Notification - Subscription Confirmation" and click the confirm link (expires in 3 days). Until confirmed, Bounce/Complaint events publish to SNS but are not delivered to gmail.
- Full log: F:/TITAN/plans/task-registry/T-cleanup-2026-04-21.log
---
handler.py L5360-5361 prepends memory_block to system_prompt, preventing prompt-cache optimization. As memory richness grows, this increases Bedrock cost on every turn linearly. CC places equivalent content (CLAUDE.md) as a user message after the cache boundary.handler.py, instead of system_prompt = memory_block + "\n\n" + system_prompt, inject memory_block as the first entry in the messages array with role: "user", tagged [Context for this session]. System prompt prefix stays stable and cacheable.handler.py only, 1 function change + test updatememory_block kwarg; when non-empty, wraps as <memory>...</memory> and prepends to the LAST user message. handler.py removes the system-prompt prefix and passes memory_block=memory_block through invoke_stream. System prompt now stable across turns → cache hits after turn 1. 55/55 bedrock_client tests pass. Lambda sha OR9yQv6wdTcPavRN+FizymU7obju50OxrHdOG82Y/KU=. Watch cache_read_input_tokens in CW metrics over next 48h to confirm hit-rate jump.~/.claude/hooks/ is empty). CC shipped PreCompact, TaskCreated, CwdChanged, FileChanged, and conditional if support for hooks since the baseline. Without a PreCompact hook, TITAN warm-memory context not in CLAUDE.md is silently lost on every compaction event.~/.claude/hooks/ directory with a settings.json configuring: (1) PreCompact hook that reads F:/TITAN/knowledge/memory/hot/ and returns a systemMessage to reinject into post-compact context; (2) SessionStart hook that injects additionalContext with current date + TITAN OS status.~/.claude/hooks/ only. Zero Silent Infinity impact.conversation_store.py loads the last 40 turns wholesale with no compaction. Users in 50+ turn sessions lose context from early turns entirely — a felt discontinuity. CC handles this via a 5-layer graduated compaction pipeline. SI has none.conversation_store.py: Layer 1 (free) — if turn count >40, summarize oldest turns via feedback_monitor.summarize_session() (already exists) into a synthetic <prior_context> prepend. Layer 2 (Haiku, ~$0.001/activation) — if estimated tokens >60K, collapse the oldest third via the same summarizer.conversation_store.py + tests/test_conversation_store.py---
- handler.py:5579 calls feedback_monitor.extract_facts()
- handler.py:5584 loops results into memory.put_fact()
- handler.py:5596 calls feedback_monitor.extract_correction()
- handler.py:5600 stores result via memory.put_correction()
- Live verification: single test turn produced 3 correctly-extracted durable facts in DDB tier=cold (documented in earlier session).
---
- handler.py:5382 calls from . import memory as _memory inside /invoke stream_response
- handler.py:5387 calls _memory.get_memory_block(request.uid) inside a 400ms-bounded background thread (R0162 latency guard)
- handler.py prepends the returned <memory> block to system_prompt before the Sonnet call
- Additional injection in /me/opener route (6363) and /session/close route (6429) — memory layer is fully surfaced.
- Small-talk fast-path (R0162) skips the fetch for messages matching greeting/filler stop-word set to avoid wasting a DDB call on "hi"/"ok"/"idk" etc.
---
bedrock_client.py:114 has enable_prompt_cache: bool = True as the production default. cache_control: {"type": "ephemeral"} checkpoint emitted per turn. Verified in EMF metrics: recent turns show CacheHit: 1, CacheReadTokens: 7226-9096 (cache is hot), CacheCreationTokens: 9096 on first turn of a session (cache write) then CacheReadTokens: 9096, CacheCreationTokens: 0 on subsequent cached turns. Bedrock account is already on Anthropic prompt caching.cache_control: {"type": "ephemeral", "ttl": "1h"} where Bedrock supports it — current default is 5 min which works for contiguous sessions but misses when users gap 6+ min. That's a T0NN follow-up, not T019.~/.claude/settings.json already contains a fully populated hooks block: PreToolUse (Write|Edit → titan-validate-skill.py), PostToolUse (Write|Edit → titan-sync.py + titan-metrics.py async), PostToolUse (Bash|Read|Glob|Grep|WebSearch|WebFetch → titan-metrics.py async), SessionStart (titan-session-log.py start), PreCompact (titan-precompact.py), Stop (titan-session-log.py stop + titan-reflect.py async). All 5 hook event types are wired. The 1530 audit claim that hooks were empty was incorrect — the config is in settings.json, not ~/.claude/hooks/.if conditional to PostToolUse on read tools (Bash|Read|Glob|Grep|WebSearch|WebFetch) to reduce subprocess spawn on high-frequency read operations — CC v2.1.85 conditional hook field available.advisor-tool-2026-03-01) provides a server-side Haiku-executor + Opus-advisor pattern with 2.1x quality improvement at 85% cost savings vs Sonnet. Not yet available on Bedrock (Silent Infinity's inference provider). When Bedrock support lands, SI should ship immediately. Pre-work can be done now.turn_weight_classifier() to feedback_monitor.py that scores each turn 0–10 (low weight = small talk/greetings, high weight = grief/crisis-adjacent/purpose). Score 0–4: Haiku executor. Score 5–7: Sonnet executor. Score 8–10: Sonnet executor + Opus advisor (when available). This classifier is the routing switch for the Advisor Tool and also feeds T011 (model-tiering) Stage 3.advisor_20260301 support, implementation is 1 day.feedback_monitor.py (classifier addition) + bedrock_client.py (Advisor Tool call when available)handler.py:6732 confirms _memory.get_last_recap(_uid) is called in /me/opener path, followed by fast-path return of next_invitation (line 6740) and fallback injection of structured recap context into Haiku greeting prompt (lines 6755-6761). Fully wired. T024 audit rec (verify & close) executed.effort: high frontmatter to TITAN research skills/feed already had effort: high (confirmed via cat). /sense bumped from medium → high per audit recommendation. /evolve left at default (monthly cost-sensitive); reconsider if cycle output quality drops. Blast-radius: 1 SKILL.md edit.---
context: fork + agent: Explore to /feed skill/feed already has context: fork + agent: oracle (Harnoor's choice of ORACLE over Explore is intentional — ORACLE is TITAN's dedicated intel-gathering subagent). /sense already has context: fork + agent: general-purpose. No change needed.---
_memory.get_last_recap() call at handler.py:6732 plus fast-path return + Haiku recap-context injection at 6755-6761. T021 was closed in same pass.---
<domain_context> block into system prompt.skills DDB table with 5 pilot entries (grief, relationship conflict, anxiety/panic, purpose/meaning, body/self-image). (2) Add match_skill() to feedback_monitor.py — Haiku pre-turn call. (3) In handler.py pre-turn path, inject matched skill content as <domain_context>. (4) Gate via variants.py flag domain_skills_enabled at 10% initial rollout.feedback_monitor.py, handler.py (3-5 lines), variants.py (1 entry), new DDB table---
if to TITAN High-Frequency Read-Tool Metrics HookPostToolUse hook on Bash|Read|Glob|Grep|WebSearch|WebFetch spawns titan-metrics.py subprocess on every read operation including trivial calls (ls, cat, pwd, brief Globs). CC v2.1.85 shipped conditional if hook support. Python subprocess spawn = 50-150ms latency on Windows. High-frequency low-value calls dominate.Bash|Read|Glob|Grep|WebSearch|WebFetch matcher into two entries in ~/.claude/settings.json: (1) WebSearch|WebFetch — keep metrics; (2) Bash|Read|Glob|Grep — add if condition or drop entirely (sample only).~/.claude/settings.json only. Zero code changes.---
tests/test_opus47_witnessing.py with 20 golden message samples across grief/anxiety/purpose/relationship domains. Run against Sonnet 4.6 vs. Opus 4.7 with current system prompt. Score on reflection warmth (1-5), witnessing discipline, persona consistency. Revise instructions if scores diverge by >1.0 before T011 Stage 3 ships.---
bedrock_client.py uses cache_control: {"type": "ephemeral"} which defaults to a 5-minute TTL (confirmed in CC v2.1.108 changelog). SI users are a wellness audience who pause mid-session for emotional processing — far more likely than developers to gap >5 minutes between turns. Each gap >5 min causes a full cache miss and a cache-creation cost on re-entry. CC v2.1.108 shipped ENABLE_PROMPT_CACHING_1H specifically to address this. If Bedrock supports {"type": "ephemeral", "ttl": "1h"}, SI should enable it immediately.bedrock_client.py cache_control dict to {"type": "ephemeral", "ttl": "1h"}. (3) If not supported: file as watch item alongside T020.bedrock_client.py only if Bedrock supports it; registry update only if not.---
~/.claude/telemetry/1p_failed_events.*.json files confirm CC is attempting telemetry uploads that are failing. Without DISABLE_TELEMETRY=1, CC applies a 5-minute cache TTL (not 1-hour). Per CC v2.1.108 changelog: "Subscribers with DISABLE_TELEMETRY use 1-hour cache (not 5-minute)." Setting DISABLE_TELEMETRY=1 in TITAN's environment delivers a free cache TTL upgrade from 5 minutes to 1 hour for TITAN sessions, eliminating the failed telemetry upload noise as a side effect.DISABLE_TELEMETRY=1 to TITAN's shell environment (e.g., in ~/.bashrc or the TITAN session launcher script).---
effort, context: fork, model, hooks, paths, allowed-tools, arguments) require v2.1.105+. T022 (effort: high on /feed and /sense) and T023 (context: fork on /feed) were both closed as "already applied" — but those frontmatter changes are inert on v2.1.49. The skills cannot benefit from them until the binary is updated.npm update -g @anthropic-ai/claude-code or equivalent to update to v2.1.118. Follow with 20-minute smoke test of all 13 installed skills.high for Pro/Max. Verify session behavior after update. bypassPermissions default is preserved in settings.json.---
permissionDecision: "ask" could downgrade a hard deny to a user prompt. TITAN runs v2.1.49, where this bug is present. If titan-bash-guardrail.py returns "ask" on a command that settings.json would deny, the deny rule does NOT win on v2.1.49 — the user gets prompted instead of hard-denied. Under bypassPermissions mode this is less critical, but the gap should be documented before the mode changes.F:/TITAN/scripts/titan-bash-guardrail.py and cross-reference its "ask" return conditions against settings.json permissions.deny rules. Document any overlaps. If found, add a fast-path exit 0 for the common case and ensure "ask" is never returned for hard-denied commands.F:/TITAN/scripts/titan-bash-guardrail.py — read-only audit; patch if exposure found. Zero SI impact.---
F:/TITAN/knowledge/staging/ during agentic sessions. The Stop hook fires titan-reflect.py only at session end, meaning writes made during multi-turn audit sessions are not observable until the session terminates. CC v2.1.105 added plugin monitors — background scripts that stream events to the Monitor tool during active sessions.titan-monitor plugin that watches F:/TITAN/knowledge/staging/ and F:/TITAN/plans/ for new files, emitting filename + timestamp events to the Monitor tool. Implementation: ~/.claude/plugins/titan-monitor/plugin.json with monitors key + a simple Python/Node file-watcher script. 1. Plugin monitors key (v2.1.105+): Declares a background daemon in the plugin manifest. Runs continuously while the plugin is enabled. Emits events to a named stream.
2. Monitor tool (v2.1.98+): A model-invocable built-in tool that reads from a named background watcher and injects events as new transcript messages. Without the model invoking the Monitor tool, the watcher runs but events never surface in the session.
- Correct implementation: plugin monitors key runs the file watcher; a TITAN skill or UserPromptSubmit hook (v2.1.84) tells the model to invoke the Monitor tool at session start to attach to the watcher's output stream. Both pieces required.
monitors require v2.1.105+, Monitor tool requires v2.1.98+, both unavailable on v2.1.49.~/.claude/plugins/titan-monitor/. Zero settings.json changes. Zero SI impact.---
titan-injection-scan.py runs synchronously on every Read|WebFetch|WebSearch result. Local Read calls on TITAN-authored files are trusted content — prompt injection via TITAN's own files is a non-threat. The synchronous scan adds 50-150ms latency per read on the hot path. For a research audit session with 20+ Read calls, this accumulates to 1-3 seconds of pure overhead.~/.claude/settings.json, split the injection scan matcher: keep synchronous scan on WebFetch|WebSearch (external, untrusted). Remove Read from the injection-scan matcher, or change to "async": true for Read-only calls.C:/Users/Harnoor/.claude/settings.json only. 2-line change. Zero code changes. Zero SI impact.---
duration_ms per Tool in titan-metrics.pyduration_ms to PostToolUse and PostToolUseFailure hook payloads, providing actual harness-measured tool execution time. Without logging this, optimization decisions remain guesswork.titan-metrics.py, read hook_data.get("duration_ms") from stdin JSON and append {tool, duration_ms, timestamp, session_id} to F:/TITAN/knowledge/metrics/tool-latency.jsonl. Handle None gracefully (field absent on v2.1.49). After T030 ships (v2.1.119 binary), the field will populate and build a real latency baseline over 5-7 sessions. Use that baseline to validate or close T033 and T026.F:/TITAN/scripts/titan-metrics.py only. New log file at F:/TITAN/knowledge/metrics/tool-latency.jsonl. Zero SI impact.---
hookify — guided hook design via conversation-analyzer subagent, applicable to T026/T033 hook optimization; (2) claude-md-management — CLAUDE.md quality auditing, applicable to quarterly context-economy audit specified in TITAN Operating Contract.claude plugin update --all to refresh marketplace. Then claude plugin install hookify@claude-plugins-official and claude plugin install claude-md-management@claude-plugins-official. Smoke test both by invoking their skills in a test session.~/.claude/plugins/. Zero settings.json changes. Zero SI impact.---
/config from session-scoped to persistent — it now writes to settings.json. Before v2.1.119, /config was safe for temporary in-session tuning. After the T030 binary update, any /config invocation will permanently modify TITAN's carefully version-controlled settings.json, potentially silently changing hook configurations, timeouts, or permission modes.---
effort kwarg to bedrock_client.py's high-weight invocation path. (2) Register an effort_profile category in variants.py mapping turn_weight score to effort level: score 8-10 → high (Opus 4.7), score 5-7 → high (Sonnet 4.6), score 0-4 → medium (Haiku 4.5). (3) T011 Stage 3 gates on this task being closed.bedrock_client.py (add effort kwarg), variants.py (1 new category). Zero SI UX changes.---
handler.py's get_memory_block() call has a 400ms timeout guard (R0162). On timeout or DDB error, the memory block is silently omitted and the model answers without personalization context — the same phenomenology as CC's March-April thinking-history cache bug (which was undetected for 15 days). Currently no operational signal fires on memory-block misses.handler.py, when get_memory_block() returns None, emit a structured CW metric: MemoryBlockMissed: 1 with dimensions {uid, session_id, reason}. (2) Add a CloudWatch alarm: if miss rate exceeds 5% of turns in a 10-minute window, publish to the existing SNS topic (silentinfinity-ses-feedback ARN, T013). (3) SNS delivers alert to harnoors@gmail.com.handler.py (3-5 lines), CloudWatch alarm config (1 CDK stanza). SNS topic already provisioned (T013).---
/ultrareview pattern demonstrates a higher-quality approach: fan out to parallel specialist sub-agents, each reviewing a different lens, then synthesize. TITAN has no equivalent for SI-specific review.~/.claude/skills/si-review.md with a skill that: (1) accepts a git diff or file list; (2) spawns 4 sub-agent prompts via context: fork (lenses: contemplative persona consistency, crisis-path correctness, memory pipeline integrity, Bedrock cost impact); (3) collects and synthesizes findings into a structured review report. The 4 lenses are SI-specific and must be authored by Harnoor + SCOUT.- Phase 1 (current scope): Implement 4-lens fan-out skill as above. Sufficient for quick reviews where scope is clear.
- Phase 2 (future, post-T030): Add optional --plan flag. Runs a single lightweight Haiku "scope planner" sub-agent first (~30 sec), outputs a one-paragraph review plan with 4 lens assignments, pauses for user approval (via UserPromptSubmit hook surface), then proceeds to fan-out. Ports the Ultraplan review-before-execute principle to SI code review. Requires T030 + a hook-based approval pause mechanism not yet available in skill frontmatter.
- Anti-pattern to avoid: Do NOT route quick reviews through Phase 2 by default — the 30-second planning pause is only appropriate for large diffs. Short reviews should go directly to Phase 1 fan-out.
context: fork requires v2.1.117+)---
asyncio.gather() in handler.py's pre-turn path once T025 and T020 exist: skill_match, turn_weight = await asyncio.gather(feedback_monitor.match_skill(message), feedback_monitor.classify_turn_weight(message)). Collapses two ~200ms sequential waits into one ~200ms concurrent wait.handler.py (2-3 lines in pre-turn path). No schema changes. No DDB changes.---
/feed targeting the HN thread and the deobfuscation repo. Confirm or refute the frustration-regex claim. If confirmed, retrieve the regex patterns. Step 2 (1h, if confirmed): Add detect_frustration_signal(message: str) -> bool to guardrails.py (~15 lines), inject <user_signal>needs_directness</user_signal> into system prompt before Sonnet call when True.guardrails.py (new function ~15 lines) + handler.py (3-line system prompt injection). Zero DDB changes.---
/config from session-scoped to file-persistent — any /config call after the binary update permanently modifies settings.json. T036 adds a CLAUDE.md note but provides no structural enforcement. No skill audit has confirmed that none of TITAN's 13+ skills emit /config./config prohibition line to CLAUDE.md before T030 ships. Part B (30 min): Grep all ~/.claude/skills/*.md files for the string /config; if found, add a prohibition comment to that skill's frontmatter and note findings in T036. Part C (0 min): Add explicit prerequisite note in T030's task entry: T036 + skill audit must be closed before binary update proceeds.~/.claude/skills/ (read-only) + T030 task entry update. Zero code changes. Zero SI impact.---
monitors manifest key (v2.1.105). The Monitor tool (v2.1.98) is a distinct mechanism: a model-invocable built-in that reads from a named background watcher and injects events as transcript messages. Without the model invoking the Monitor tool, the plugin monitors daemon runs but events never surface in the session context. T032 as written risks a half-implementation that runs a watcher with no observable output.monitors key AND a session-start invocation of the Monitor tool (e.g., via a UserPromptSubmit hook at session start instructing the model to attach to the watcher stream).---
C:\Users\Harnoor\.claude\plugins\marketplaces\claude-plugins-official\ confirms claude-md-management is already present in the local cache (with complete plugin.json + SKILL.md). Unknown: (1) is the cache current or 37-days stale? (2) is the plugin enabled/installed in TITAN's active profile, or only in the marketplace cache? 1. Read C:\Users\Harnoor\.claude\plugins\install-counts-cache.json — if claude-md-management appears, it is active.
2. Read C:\Users\Harnoor\.claude\plugins\marketplaces\claude-plugins-official\.claude-plugin\marketplace.json — check for cache timestamp.
3. Update T035 to close the claude-md-management sub-step if already active, or confirm pending.
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skills_loader.py is wired in handler.py behind SKILLS_ENABLED=1 (confirmed at lines 6828-6839 this cycle) but Pattern 8 alignment depends on whether prompts/skills/_manifest.json is populated with real skill entries. The manifest has never been directly read in any audit cycle. If empty or missing, select_skills_for_turn() returns "" silently — the feature is inert with no operational signal. P8 cannot advance from PARTIAL to ALIGNED without manifest verification.F:/projects/innerverse/backend/prompts/skills/_manifest.json. Confirm existence, populated triggers.include_if_user_msg_matches fields, and that referenced file paths exist. Step 2 (1-2 hours if manifest empty/minimal): Author 3 pilot skill entries — grief (triggers: died, miss, grief, loss, mourning), anxiety (triggers: anxious, panic, worried, overwhelmed), purpose (triggers: meaning, purpose, what's the point, lost). Each skill body: 300-800 chars of domain-specific witnessing guidance, not a new system prompt. Enable SKILLS_ENABLED=1 in Lambda env vars only after manifest confirmed.prompts/skills/ content authoring. SKILLS_ENABLED=1 Lambda env var (1 CDK/console edit). Zero handler.py changes. Zero DDB changes.---
undercover.ts (HN item 47586778) establishes AP-8: suppressing AI attribution in shared artifacts. SI's two planned shareable artifact features (session summaries, exports) have no provenance requirement documented yet. EU AI Act Art. 50 requires AI-generated content to be discernible. If these features ship without provenance baked in, retrofitting it is harder and carries legal risk.---
SKILLS_ENABLED=1, SI has no observability into whether skills fire, what domains match, or whether regex triggers are correctly calibrated. skills_loader.py already emits an [Active skills: ...] header, but this is consumed by the model and never logged. Over-triggering (>40% of turns) degrades cache stability; under-triggering (<5%) means the domain is not in use or the regex is too narrow. No signal exists to detect either.skills_loader.py's match loop, add log.info("skills.matched", extra={"skill_id": sid, "matched_trigger": matched_pattern, "char_count": len(body)}) per matched skill. (2) In handler.py after skills call, emit CW metric SkillsActivated: N (0 when no match). (3) Add CW dashboard panel for skills observability. (4) Add CW alarm: any skill matching >40% of turns in a 7-day window triggers review alert to SNS topic.skills_loader.py (2-3 log lines), handler.py (2-3 CW metric lines), CloudWatch config. Zero DDB changes. Zero system prompt changes.---
--plan flag with Haiku scope planner + hook-based user approval pause before fan-out.---
TITAN-SENTINEL-PHRASE-9X7) in CLAUDE.md; (3) verify the model cites or uses this phrase unprompted in its first response — if not, regression is present, do not upgrade. (4) If target version is v2.1.120 specifically, check gist.github.com/yurukusa/a866b4cd2976486156a00c190c39cef6 for resolution status first. (5) Fallback if regression confirmed: configure SessionStart hook to inject CLAUDE.md via additionalContext.---
titan-metrics.py as a PostToolUse hook that writes to a local JSONL file via subprocess. v2.1.118 added type: "mcp_tool" hook output, enabling hooks to invoke MCP tools directly without spawning a subprocess. This creates a cleaner Phase 2 architecture for T034: replace the subprocess write with a hook type: "mcp_tool" call to a lightweight local MCP server that accepts {tool_name, duration_ms, tool_use_id, decision} and writes to CloudWatch or DynamoDB. Additionally, v2.1.119 confirmed duration_ms is now natively available in PostToolUse hooks, eliminating the need for custom timing logic in titan-metrics.py.titan-telemetry-mcp (20 lines Python) with a log_tool_event tool; configure PostToolUse hook with type: "mcp_tool", server: "titan-telemetry-mcp", tool: "log_tool_event". Reduces hook latency from ~100ms (subprocess cold start) to ~5ms (MCP stdio RPC).---
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memory.put_correction() or user_threads DynamoDB write in feedback_monitor.py, snapshot the current value to a user_memory_history DynamoDB table with 30-day TTL. Admin-only memory_revert Lambda function can restore the last snapshot. Pattern: existing = await memory.get_current(user_id, key) → await memory_history.put(user_id, key, existing, ttl_days=30) → await memory.put_correction(user_id, key, new_value). Not user-facing — operational safety net for operators.memory.py (5-line snapshot wrapper), feedback_monitor.py (3-line call before write), new DynamoDB table user_memory_history (TTL-enabled, 10-line schema), admin revert Lambda (20 lines). Zero changes to system prompt. Zero changes to conversation flow.---
additionalContext when tool latency exceeds threshold or context crosses 80%).---
duration_ms Hook Telemetry Note to T029 and T034 (TITAN)duration_ms to every hook's output payload — hooks now receive per-tool execution latency. T029 (PreCompact hook) and T034 (PostToolUse JSONL write hook) were authored without this field. If either ships without capturing duration_ms, TITAN permanently loses per-tool latency telemetry. The field costs nothing to read; the cost of not capturing it is a forever-blind-spot in session diagnostics.duration_ms from hook input and include it in any JSONL write or telemetry emission. Available in CC v2.1.119+." (2) Add hook_contract_v2.md to F:/TITAN/knowledge/memory/warm/claude-code/ documenting the updated hook input schema: {duration_ms, session_id, transcript_path, cwd, hook_event_name}. (3) Note that computer-use tool calls also emit duration_ms in PostToolUse hooks.---
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computer-use-cli-preview.md to F:/TITAN/knowledge/memory/warm/claude-code/ documenting: research-preview status, feature flag name, tool names, and blast-radius (irreversible OS-level GUI actions). (2) Add one sentence to CLAUDE.md Escalation Triggers: "Computer-use tool invocations (if research preview is active) are treated as destructive operations — always escalate before executing any computer-use tool call." (3) Note in T055's hook contract reference that computer-use tool calls emit duration_ms in PostToolUse hooks.computer-use-cli-preview.md. Zero SI impact. Zero CC behavior changes.---
asyncio.gather(): results = await asyncio.gather(crisis_sentinel.check(...), skills_loader.select_skills_for_turn(...), sentiment_reader.read(...), return_exceptions=True). Prerequisite: verify feedback_monitor.py and skills_loader.py use async-compatible boto3 client (aioboto3) or wrap blocking calls in asyncio.to_thread(). Error isolation via return_exceptions=True ensures one sentinel failure does not abort others.handler.py (asyncio.gather refactor of sentinel calls), feedback_monitor.py (async boto3 verification), skills_loader.py (async boto3 verification or to_thread wrapping). Zero DDB schema changes. Zero system prompt changes.---
Glob and Grep tools with embedded bfs/ugrep via the Bash tool on native macOS/Linux builds. T026 (conditional hook on high-frequency reads) conditions on tool_name == "Glob". If the native binary migration extends to Windows builds after T030, this hook trigger will silently stop matching. No alarm exists to detect the failure. T026 was authored before this migration existed.hook_contract_v2.md (T055 artifact): "On native builds v2.1.117+, Glob/Grep may arrive as Bash tool calls — hook conditions targeting Glob/Grep tool_name must be tested against native build behavior."---
disableSkillShellExecution: true to settings.json, blocking skills/commands from executing inline shell. TITAN's 13 skills have never been audited for inline shell blocks (backtick codeblocks, !-prefixed lines, $(...) interpolation). An autonomous session that fires a skill with an inline shell block bypasses the PreToolUse hook gate — TITAN's primary security boundary.C:\Users\Harnoor\.claude\ for shell execution patterns. Confirm zero findings or remediate. (2) Add "disableSkillShellExecution": true to ~/.claude/settings.json. (3) Add to CLAUDE.md Tools section: "Skill files must not contain inline shell execution blocks. disableSkillShellExecution is enabled in settings.json as structural enforcement. Any new skill authored by DARWIN must be reviewed for inline shell before installation."~/.claude/settings.json (one boolean). CLAUDE.md (one paragraph). Zero skill file changes unless inline shell found. Zero SI impact.---
/recap (v2.1.108) surfaces this to the user explicitly. SI's analog must be user-visible without being intrusive.user_profile.py: check if last_session_ts > 24h ago; set returning_user: bool flag in session context. (2) In system_prompt.py: when returning_user=True, inject conditional instruction: acknowledge space persists, reflect active thread, do not say "Welcome back." (3) Frontend JS: detect returning_user flag in Lambda response; shift presence orb color state (no new UI element). No new DDB tables, no new Lambda functions.user_profile.py (5 lines), system_prompt.py (10 lines + instruction copy), frontend JS (3 lines). No schema changes. No new infrastructure.---
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tests/behavioral/test_contemplative_quality.py with a 5-item test set: grief expression (no premature reframing), anxiety spiral (no diagnosis), user correction (behavior changes same response), returning-user opener (prior thread referenced naturally), explicit boundary test (mirror makes no promises). (2) Each test invokes SI Lambda in test env, passes response to Haiku 4.5 evaluator with 1-shot behavioral rubric, records pass/fail. (3) CI gate: behavioral tests run on every system prompt or skills file change. If >1 of 5 fail, change requires Harnoor review before merge.tests/behavioral/test_contemplative_quality.py. CI workflow YAML (one path-filter condition). Zero production code changes. Zero SI production impact.---
C:\Users\Harnoor\.claude\." Cycle 17 filesystem scan confirms C:\Users\Harnoor\.claude\skills\ does not exist. The 13 skills referenced in cycles 12-16 have an unconfirmed storage path. If T059 runs the grep against the absent directory, it will return a false-negative clean result — providing false assurance that skill files were audited when they were not. T059 is a security task; false negatives are unacceptable.~/.claude/settings.json, identify skillsDirectory or equivalent config field. If skills stored outside ~/.claude/skills/, run grep against the actual path. Confirm 13 expected skill files present before proceeding. If ~/.claude/skills/ absent and no config override found, escalate to Harnoor before T059 proceeds." Add a note to T059 entry: "Skills directory ~/.claude/skills/ is absent per cycle 17 filesystem scan (2026-04-26). Path verification is prerequisite."---
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~/.claude/hooks/ does not exist). v2.1.118 added the ability for hooks to invoke MCP tools directly via type: "mcp_tool". Audit-completion notifications currently require an explicit agent step (write memo → separately draft email). A PostToolUse hook on the Write tool that pattern-matches /advisors/claude-code-audit-.md file paths could invoke the create_draft MCP tool automatically, eliminating the notification as a manual step.~/.claude/hooks/post_tool_use.sh that reads hook input JSON from stdin. (2) If tool_name == "Write" and path matches /advisors/claude-code-audit-.md: extract memo path, n_recs, m_regressions; output {"type": "mcp_tool", "server": "gmail", "tool": "create_draft", "input": {subject: "[Claude Code audit] YYYY-MM-DD — N recommendations · M regressions", ...}}. (3) Register in ~/.claude/settings.json under hooks.PostToolUse. (4) Test: write dummy audit memo, confirm hook fires and Gmail draft appears. (5) Prerequisite: verify create_draft MCP auth token is available in hook shell execution context — if not, fall back to python send_mail.py approach.~/.claude/hooks/ directory and hook script. Settings.json hook registration. Zero code changes to SI. Zero changes to existing skills.---
CLAUDE_CODE_FORK_SUBAGENT=1. TITAN's six named agents (SCOUT, VAULT, FORGE, GUIDE, ORACLE, DARWIN) currently run in-process (shared parent context; cross-agent state contamination possible). Forked subagents use Git worktree isolation: each agent gets a clean filesystem context and returns only summaries to the parent. This capability upgrade should be explicitly captured in T030's upgrade plan.CLAUDE_CODE_FORK_SUBAGENT=1 for TITAN named agents. If enabled, each of the 6 named agents runs in a worktree-isolated context. Prerequisite: confirm Git is available in the TITAN working directory. Risk: agent frontmatter mcpServers must be configured per agent for MCP access in worktree mode. Reference: v2.1.117 changelog."---
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CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS: "1" to the env block in ~/.claude/settings.json. (2) Add TeammateIdle and TaskCompleted hooks to settings.json to enforce quality gates: TeammateIdle exits 2 if teammate produced no deliverable in its turn. (3) Run one test cycle: SCOUT + ORACLE as teammates, TITAN as lead, topic = "latest Anthropic product changes". (4) Compare parent-context token usage: parent-only vs. teammate-isolated. (5) If favorable, wire VAULT's /dream skill as a teammate-compatible subagent definition.---
priority tier provides reserved capacity. As of v2.1.122 this is documented and addressable with a one-line config change.ANTHROPIC_BEDROCK_SERVICE_TIER: priority to the Lambda function's environment block. (3) Deploy. (4) Verify: invoke Lambda, inspect CloudWatch logs for Bedrock call latency — confirm no regression. Note: priority tier may carry cost premium at scale; verify Bedrock pricing before enabling in production at high DAU. At 6 DAU, cost delta is zero to negligible.---
Write|Edit). The blocker is resolved. Each audit cycle currently requires two manual steps — writing the memo and drafting the notification email — both of which a PostToolUse hook can eliminate.{"matcher": "Write", "hooks": [{"type": "mcp_tool", "server": "gmail", "tool": "create_draft", ...}]}. The hook script reads file_path from hook input JSON; if it matches /advisors/claude-code-audit-.md, it extracts n_recs and m_regressions from the memo and constructs the draft subject. (3) Test: write a dummy audit memo, confirm Gmail draft appears. (4) If MCP auth unavailable in hook context: fall back to python F:/TITAN/scripts/send_audit_email.py command hook instead of mcp_tool hook.---
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cron=17 /6 , registered 2026-04-22). This scheduler requires TITAN's local machine to be awake. Routines (research preview, April 14) run on Anthropic's cloud infrastructure — the "laptop-off" execution model. At a Max subscription, the daily cap is 15 runs/day, which exceeds the current 4-per-day cadence. However, Routines are stateless per run: no context accumulates between executions. TITAN's intelligence accumulation requires persistent memory files (F:/TITAN/) as the state store, not in-Routine context.additionalContext.---
- Part A (SI): The CC side-chat pattern (/btw, Cmd+;) enables a parallel clarifying thread that pulls read-only context from the main conversation without polluting it. SI's Pattern 10 gap (barge-in) has been slotted as "interrupt + partial transcript" (baseline Pattern 10 spec). If SI ships the basic barge-in before evaluating the side-chat model, it may ship a less capable architecture. The side-chat model is architecturally superior for a contemplative product: the user's meta-question ("are you just reflecting?") does not interrupt the space — it branches off, answers, and the main conversation thread continues intact.
- Part B (TITAN): Two new plugin marketplace entries are architecturally relevant: context-handoff@claude-plugins-official (unknown spec; potentially applicable to side-chat context isolation) and memory-agent@claude-plugins-official (potentially competing or augmenting TITAN's VAULT/MEMORY.md pipeline). These must be evaluated before T035 installs them.
- Part A: Before implementing Pattern 10 barge-in for SI, document a 3-option architecture comparison: (1) original baseline barge-in (interrupt + partial transcript); (2) CC side-chat model (parallel read-only thread, no interrupt); (3) hybrid (interrupt for urgent redirects, side-chat for meta questions). Add to SKETCH-tier SI roadmap. No code commitment this cycle.
- Part B: Read C:\Users\Harnoor\.claude\plugins\marketplaces\claude-plugins-official\plugins\context-handoff\ and similar for memory-agent. If locally cached: read plugin.json, understand behavior, add install decision to T035. If not locally cached: defer to T030 marketplace refresh.
skill_activated.invocation_trigger attributeinvocation_trigger classification for skill activations: "user-slash" (explicit user invocation), "claude-proactive" (model semantic match, no user instruction), "nested-skill" (skill invoked by another skill). TITAN currently has 13 skills (briefing, dream, evolve, feed, learn, monologue, newsletter, pulse, reflect, sense, ship, teach, titan) but does not classify them by expected trigger path. Skills with over-broad descriptions may fire proactively on false matches. Skills that should only fire on explicit user invocation may lack the necessary disable-model-invocation flags.C:\Users\Harnoor\.claude\skills\. (2) For each skill, determine: (a) which invocation paths should be active; (b) whether the description is appropriately scoped to prevent false proactive matches; (c) whether any skill has nested invocation dependencies. (3) Add a trigger_type: frontmatter field to each skill file documenting the expected invocation path(s). (4) Flag any skill whose description needs narrowing to prevent false proactive fires.C:\Users\Harnoor\.claude\skills\. No code changes. No SI impact.---
claude project purge as Escalation-Trigger Command in TITAN Operating Contract (TITAN)claude project purge, which deletes all cloud-side project data (session transcripts, memory files, CLAUDE.md snapshots) irreversibly. The command is not reflected in TITAN's operating contract (CLAUDE.md) escalation-trigger list. Any TITAN automation or skill that constructs claude CLI invocations must be aware this command is destructive. The 24-hour window between the capability being shipped and safety guidance being documented is an operational risk window.C:\Users\Harnoor\.claude\CLAUDE.md. (2) Locate the "Escalation Triggers (stop and ask)" section. (3) Add claude project purge to the destructive operations list alongside reset --hard, rm -rf, DROP TABLE, etc. (4) Write via python F:/TITAN/scripts/titan_skill_writer.py per operating contract (not Write/Edit tool, per bug #39523 constraint).---
system_prompt.py in a witnessing_discipline section, immediately before the main contemplative stance block:- Instruction 1 (Pattern 5): "Before making any observation about the user's emotional state, confirm it is grounded in something the user explicitly expressed in this session. Do not infer states not present in the user's words. Observations must cite the user's words, not the model's interpretation of them."
- Instruction 2 (Pattern 14 analog): "When you summarize what a user has expressed, quote or closely paraphrase their actual words before reflecting them back. Do not summarize at one level of abstraction above what was said. The mirror reflects; it does not interpret. Interpretation is offered only when explicitly invited."
system_prompt.py only. Approximately 6 lines. No DynamoDB changes. No Lambda config changes. Reversible in 5 minutes if behavior regresses.---
client.beta.dreams.create(inputs=[memory_store_id, session_ids], model=..., instructions=...) produces a curated, deduplicated new memory store. TITAN already has a titan-weekly-dream scheduled task that does a manual Perplexity-based memory consolidation pass. The two systems may conflict or diverge if Dreams API is adopted without a deliberate bridge design. A decision memo is needed: (a) adopt Dreams API for TITAN memory consolidation, replacing titan-weekly-dream; (b) bridge the file-based F:/TITAN/knowledge/memory/ architecture to managed memory stores; or (c) keep file-based and document why.titan-weekly-dream; (b) if yes, what bridge architecture is needed between cloud memory_store_id and F:/TITAN/knowledge/memory/ files; (c) what does TITAN's file-based system do that Dreams cannot (local inspection, git version control, no cloud dependency, operates on warm/cold knowledge files not raw session transcripts). Decision memo only — no code changes until Harnoor approves direction.---
F:/TITAN/scheduled-tasks/ inventory. Apply migration criteria: (a) runs hourly or less frequently; (b) uses CC as executor; (c) benefits from cloud execution; (d) not sub-hourly. Produce a migration spec for the top-3 candidates: current cron interval → Routines trigger type → webhook endpoint → session URL logging. Include a "keep local" list with reasoning.---
F:/TITAN/knowledge/memory/warm/claude-code/) has no record of the Agent View feature: claude agents CLI dashboard, per-user supervisor daemon (background sessions persist across shell restarts), and the --background session flag. Without this record, future audit sessions will re-research the feature from scratch, burning Perplexity tokens unnecessarily.F:/TITAN/knowledge/memory/warm/claude-code/agent-view-2026.md covering: (a) claude agents command and dashboard capabilities (grouped by state: working / waiting-for-input / completed); (b) supervisor daemon process model — persistent per-user daemon, sessions survive terminal close; (c) relevance to TITAN's six named agents (future parallelization via --background sessions is possible but no migration required this cycle); (d) explicit "no migration action required" note so future audits don't re-open the question.---
effort.level Capture to TITAN titan-metrics.py Hook (TITAN)effort.level now available in hook input JSONtitan-metrics.py PostToolUse hook captures tool names, timestamps, and (post-T034) duration_ms. It does not capture the active effort level (effort.level in hook stdin JSON, also available as $CLAUDE_EFFORT). Without effort level in the JSONL log, TITAN cannot correlate tool latency or response quality with reasoning depth. This blocks the T080 Routines scheduling analysis (should audit cron run at high vs. xhigh?) and prevents cost/quality profiling across effort levels. The April 23 postmortem confirmed effort level is an Anthropic-modifiable quality lever; baseline telemetry is the only way to detect a silent change.F:/TITAN/scripts/titan-metrics.py, add effort_level = hook_data.get("effort", {}).get("level", None) to the JSON read section. Include effort_level in the JSONL record written to F:/TITAN/knowledge/metrics/tool-latency.jsonl. Use a None-guard — the field is available on v2.1.128+ but may be absent on v2.1.49; log None gracefully. No schema changes. No new files.F:/TITAN/scripts/titan-metrics.py only. 1-line addition. No SI impact.None-guard makes it safe to ship on v2.1.49 now and populate on upgrade.---
autonomous-loop and agent-teams (TITAN)C:\Users\Harnoor\.claude\plugins\install-counts-cache.json (2026-03-18 snapshot, reviewed 2026-05-14)autonomous-loop@claude-plugins-official (1 install, potentially enables sub-hourly autonomous execution — T080 relevance) and agent-teams@claude-plugins-official (1 install, plugin surface for Agent Teams multi-agent coordination — T070 relevance). If T035 executes without evaluating these plugins, TITAN may install them without understanding their behavior or miss them as applicable capabilities.autonomous-loop@claude-plugins-official and agent-teams@claude-plugins-official from the local marketplace cache path or via claude plugin info. Determine: (a) does autonomous-loop enable sub-hourly execution without the Routines 1-hour minimum constraint (T080)? If yes, this changes the Routines migration recommendation. (b) does agent-teams require manual settings.json configuration or auto-enables on install? If auto-enables, it must be gated behind T070 design review. (c) Check memory-agent@claude-plugins-official against TITAN's VAULT architecture for conflict or complement. Document all three findings before any install proceeds."---
C:\Users\Harnoor\.claude\plugins\cache\claude-plugins-official\firecrawl\1.0.8\ (installed 2026-05-14T11:16:43Z)SKILL.md (no skills/ subdirectory) auto-surface as skills. firecrawl was installed on the same day v2.1.142 shipped. If firecrawl's plugin root contains SKILL.md, it will inject a skill into TITAN sessions without explicit registration. firecrawl is a web scraping tool — its auto-surfaced skill could conflict with SCOUT's Perplexity-first research protocol.SKILL.md at the firecrawl plugin root. (2) If present, read trigger description and content. (3) Evaluate conflict against TITAN skills (especially SCOUT/Perplexity flow). (4) If conflicting, add disable-model-invocation: true to the plugin's skill config or remove firecrawl until T035 evaluates it formally. Evaluate before the next T030 binary upgrade so auto-surfacing does not activate on upgrade day.disable-model-invocation: true).---
C:\Users\Harnoor\.claude\plugins\cache\compound-engineering-plugin\compound-engineering\3.8.1\plugin.json (installed 2026-05-14T11:17:42Z)compound-engineering@compound-engineering-plugin v3.8.1 is from a non-official marketplace (compound-engineering-plugin, not claude-plugins-official) and was installed outside T035 process gating. Baseline Section 2.2 documents unverified third-party plugins with MCP server access as an open prompt injection surface. The exposure window grows with every session until T030 upgrades the binary and T035 evaluates all plugins.plugin.json to confirm MCP servers, skills, and hooks registered. (2) Verify publisher legitimacy via compound-engineering.io or linked GitHub repo. (3) Check marketplace verification status (verified field in marketplace cache). (4) If unverifiable within 1 hour: claude plugin uninstall compound-engineering@compound-engineering-plugin and re-evaluate after T035 executes. Removal is non-destructive — plugin can be reinstalled after verification.---
~/.claude/skills/ (27 added post-baseline without a budget audit). The baseline documented an 8K fallback cap for the skill description-matching phase, with a 1,536-char max per description. At 37 skills the total description-matching load likely exceeds the 8K cap, causing silent skill-description truncation on every session.semantic vs explicit; add disable-model-invocation: true to all explicit skills to remove them from the description-matching phase. (4) Primary explicit candidates: symphony, incubate, deepdive. Secondary: titan-s3-backup-hourly, daily-email, daily-summary, weekly-review. (5) Target: description-phase token load below 8K.~/.claude/skills/ only. Zero code changes. Zero SI impact. Reversible.---
worktree.bgIsolation: "none" for TITAN Cron Sessions Before T030 (TITAN)worktree.bgIsolation: "none", a background-session mode that skips EnterWorktree and edits the working copy directly. TITAN's audit cron sessions are read-only (writes go only to F:/TITAN/plans/) and gain no benefit from worktree isolation while paying its startup overhead.worktree.bgIsolation: "none" to ~/.claude/settings.json (scoped to audit sessions or global). Setting requires the v2.1.143+ binary to take effect — stage now so it activates immediately on the T030 upgrade. Confirm the exact setting key name from v2.1.143 release notes; document in the T030 upgrade checklist.~/.claude/settings.json — one config key. Fully reversible. Zero SI impact.~/.claude/agents/ definition files. CLAUDE_CODE_FORK_SUBAGENT=1 has been production-available since v2.1.117 (April 22 — the baseline date), making these agents eligible for promotion to native worktree-isolated --agent invocation with per-agent MCP server bindings. Current CLAUDE.md prose routing is overridden by context pressure during long sessions; native agent files survive compaction. Three agents have been routing via prose for 25+ days past the capability unlock.~/.claude/agents/scout.md, ~/.claude/agents/forge.md, ~/.claude/agents/oracle.md with permissionMode, tools:, disallowedTools:, and mcpServers: frontmatter per the v2.1.117 agent definition format. SCOUT: Read/Grep/Glob/WebSearch/WebFetch, model sonnet, effort high, MCP perplexity + web. FORGE: Bash + Edit + Write, model opus, effort xhigh. ORACLE: model haiku or sonnet, effort medium, MCP firecrawl (pending T084 verification).~/.claude/agents/ only. Three new files. Zero code changes. Zero SI impact. Fully reversible.---
context_summary field in DynamoDB on the session record. (4) Prepend as <prior_context> block in next turn's system prompt. (5) Surface to user: "I've compressed our earlier conversation so we can explore further. Here's what I'm carrying forward: [summary]." Each component is additive to the existing conversation history pipeline.bedrock_client.py (Haiku pre-compression call), conversation_store.py (context_summary field), system_prompt.py (prior_context injection), frontend (single button). No changes to existing history pipeline.claude agents --json Duplicate Guard to Audit Cron (TITAN)claude agents --json, which returns live session data as structured JSON — enabling a pre-flight check before dispatch.claude-code-audit-every-6h cron dispatcher script, prepend a guard: claude agents --json | python -c "import sys,json; agents=json.load(sys.stdin); print(any('audit' in (a.get('name','')) for a in agents))". If an audit session is already running, skip dispatch and exit 0. Fail-closed: if claude agents --json errors or schema-mismatches, skip dispatch (do not double-fire). Pin to explicit field names with null-safe access; do not assume schema stability across minor CC versions.---
_none yet_
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1. TITAN hits a decision point — e.g. "which SSO provider?"
2. TITAN picks a reasonable default + files a T-number entry here + drafts a Gmail email to harnoors@gmail.com with:
- Subject: [TITAN T0NN] <one-line decision needed>
- Body: the decision, the default chosen, when it needs to change, and the consequence of waiting
3. TITAN continues working with the default — never blocks
4. When Harnoor comes back and types T001 go with <X> or T004 approved, TITAN reads the registry, applies the new decision, closes the task