End Of Transmission

---
name: end-of-transmission
description: "Continuous background reflection engine that auto-triggers at checkpoints (task completion, context ≥60%, after errors) and runs a full 9-phase pipeline on manual /eot. Use when context is nearing capacity, after completing a major task, after errors, or when you type /eot to trigger structured session reflection."
triggers:
  - "end of transmission"
  - "/eot"
  - "/end-of-transmission"
scope: harness
invocation: workflow
---

# End of Transmission

Continuous background reflection engine for YURI. Runs **two modes**:

1. **Micro-EOT** (background, auto-triggered) — lightweight checkpoint reflections during session
2. **Full EOT** (manual trigger) — comprehensive 9-phase pipeline at session end

Both modes use tiered memory (Tier 1 hot/in-context → Tier 2 warm/episodic → Tier 3 cold/semantic atoms) and feed durable learnings into the Karpathy wiki continuously.

## Triggers

### Automatic (Micro-EOT, Background)

Micro-EOT auto-triggers after:
- Task completion: ≥15 tool calls executed in current task
- Context tier: context usage hits or exceeds 60%
- Error recovery: after backtracking, error resolution, or failed branch analysis
- Cycle completion: Plan-Act-Validate loop finishes

Trigger action: Dispatch `Scripts/llm-compat.sh -m deepseek-v4-flash` with micro-EOT prompt (run_in_background via queue). Main thread continues unblocked. Output written to `.claude/eot/continuous/micro-{timestamp}.md`.

### Manual (Full EOT)

When the user says exactly or semantically `end of transmission`, begin with:

```text
End of transmission received. Entering full auto reflection mode.

I will not ask for further permission during this run. I will freeze new feature work, reconstruct the session from available evidence, verify what was actually completed, log successes and failures, extract skill updates, update the self-improvement system where safe, and offload model-backed checks to DeepSeek workers plus deterministic tools.
```

Then execute the full 9-phase pipeline below.

## Command Precedence

Overrides ordinary continuation, feature work, UI polish, or new-task execution.

- Do not start new feature work unless directly required to document the self-improvement system.
- Do not invent session outcomes.
- Do not claim tests, audits, file edits, or checks were performed without evidence.
- Do not expose chain-of-thought. Provide concise, inspectable reasoning summaries.
- Do not modify Conclave, secrets, credentials, private environment files, or unrelated production code.
- Do not convert failures into vague "learnings." Record them clearly and practically.
- Do not end with only a motivational summary. Produce operational next steps and system refinements.

If the command conflicts with another project instruction, safety and evidence requirements win.

## Full Auto Permission Grant

`end of transmission` is a deliberate execution command, not a request for a plan, confirmation, or optional summary. By invoking it, the user grants standing permission to run the complete EOT pipeline from beginning to end without asking for additional approval.

This permission includes: running all required deterministic checks · searching and inspecting session files, artifacts, logs, prompts, and self-improvement docs · creating new reflection artifacts · updating existing EOT/self-improvement documentation where the target path is clearly within scope · appending skill refinements, failure ledgers, boot packets, and patch proposals · offloading model-backed reflection work to DeepSeek workers and local tools · making reasonable implementation choices independently when evidence is sufficient · continuing through non-critical uncertainty by recording it and choosing the safest useful fallback.

**Micro-EOT Permission**: Full auto permission also grants standing permission for automatic micro-EOT triggers mid-session (no manual user trigger required). Micro-EOT runs in background, unblocks main thread, writes to `.claude/eot/continuous/`. Main thread may continue work during micro-EOT execution.

Do **not** ask the user:
- "Do you want me to proceed?"
- "Should I update the document?"
- "Should I run the reflection?"
- "Should I create the artifacts?"
- "Which format do you prefer?"

The command itself answers those questions. Proceed automatically.

## No-Interruption Rule

Once triggered, the pipeline runs uninterrupted until the final EOT output is produced. No mid-session approval, preference selection, scope confirmation, or optional review.

If a choice is required, resolve using this order:
1. existing YURI CLAUDE.md / masterplan instructions
2. current self-improvement system rules
3. repository or document evidence
4. safety, protected-area, and data-truth constraints
5. smallest reversible useful update
6. explicit patch proposal instead of direct mutation if safe mutation is not available

If a tool, permission, or platform-level approval blocks an action: log it as blocked, produce the best available patch proposal or fallback artifact, and continue the remaining pipeline. Do not ask the user to unblock it during the EOT run.

## Hard Boundaries (Full Auto Cannot Override)

The system must still not:
- expose hidden chain-of-thought
- invent evidence, tests, artifacts, tool results, or successful injections
- modify Conclave
- read, reveal, edit, or exfiltrate secrets, credentials, private keys, or `.env` values
- perform destructive production actions unrelated to EOT
- send external messages, publish content, make purchases, deploy production changes, delete data, or trigger irreversible external side effects unless separately and explicitly requested
- bypass authentication, authorization, sandboxing, or repository safety rules

If a desired update conflicts with these boundaries, create a patch proposal marked `not_applied` with the reason.

## Execution Model

### Orchestrator owns:
- trigger recognition, freeze and scope control
- evidence inventory, worker routing
- council review, final acceptance judgment, final report assembly

### DeepSeek Workers (all model-backed EOT execution):
- Micro-EOT: `deepseek-v4-flash` through `_SYSTEM/Scripts/llm-compat.sh`.
- Full EOT worker reviews: `deepseek-v4-pro:max-reasoning` for high-stakes synthesis, `deepseek-v4-flash` for lightweight ledgers and smoke reflections.
- No Haiku or Sonnet workers in EOT.
- Main thread performs final synthesis directly from DeepSeek outputs and deterministic tool evidence.

### Deterministic Tools:
transcript extraction · file inventory · diff generation · grep/search self-improvement docs · test/build/lint results · artifact list · TODO/FIXME collection · failure log extraction · duplicate section detection · markdown validation · checklist tally · evidence table generation

---

## Reflection Pipeline

### Phase 0 — Freeze Active Work

```xml
<end_of_transmission_state mode="full_auto" requires_user_confirmation="false">
  <mode>reflection</mode>
  <new_feature_work_allowed>false</new_feature_work_allowed>
  <protected_areas>
    <area>Conclave</area>
    <area>secrets and credentials</area>
    <area>private environment files</area>
    <area>unrelated production logic</area>
  </protected_areas>
</end_of_transmission_state>
```

### Phase 1 — Evidence Inventory

Collect: user requests, assistant responses, files uploaded/created/modified, tool calls, command outputs, tests/checks run, errors, citations, accepted assumptions, unresolved questions.

```xml
<session_evidence_inventory>
  <user_goals></user_goals>
  <source_documents></source_documents>
  <artifacts_created></artifacts_created>
  <artifacts_modified></artifacts_modified>
  <tools_used></tools_used>
  <checks_run></checks_run>
  <errors_or_limitations></errors_or_limitations>
  <unverified_claims></unverified_claims>
</session_evidence_inventory>
```

### Phase 2 — Timeline Backtrack

Reconstruct what happened in order. Material decision points only — not every trivial message.

```xml
<session_timeline>
  <event order="1">
    <input></input>
    <action_taken></action_taken>
    <evidence></evidence>
    <result>success | partial | fail | unknown</result>
  </event>
</session_timeline>
```

### Phase 3 — Claim Double-Check

Audit important claims made during the session. If a response said "done," verify a file exists or a tool result supports it. If not, correct the record.

```xml
<claim_audit>
  <claim status="verified | partial | unsupported | contradicted | not_checked">
    <statement></statement>
    <evidence></evidence>
    <correction_if_needed></correction_if_needed>
  </claim>
</claim_audit>
```

### Phase 4 — Success and Failure Ledger

```xml
<session_ledger>
  <successes>
    <item evidence=""></item>
  </successes>
  <failures>
    <item severity="low | medium | high" evidence=""></item>
  </failures>
  <partials>
    <item remaining_work=""></item>
  </partials>
</session_ledger>
```

Successes must be concrete: file generated, prompt consolidated, unsafe assumption removed, routing improved, test passed, issue documented.
Failures must be concrete: insufficient inspection, missed validation, overclaimed completion, wrong worker routing, unresolved ambiguity.

### Phase 5 — Could-Have-Done-Better Review

```xml
<improvement_review>
  <improvement>
    <observed_behavior></observed_behavior>
    <better_behavior></better_behavior>
    <system_update_type>skill | prompt | checklist | test | backlog | no_change</system_update_type>
    <new_rule></new_rule>
  </improvement>
</improvement_review>
```

### Phase 5.5 — MANGEKYO Evidence Hardening (MANDATORY)

**Standard baked-in function of EOT.** All session findings are hardened via mangekyo-sharingan protocol before becoming skill updates.

Apply **mangekyo Phases 1-3 only** (Observe, Decompose, Audit) to session evidence inventory and improvement review:

1. **Observe** — Map the session artifacts and learnings
2. **Decompose** — Extract underlying patterns vs. surface observations
3. **Audit** — Ruthlessly examine weaknesses, assumptions, license/safety issues, architectural fit

**Output:**
```xml
<mangekyo_evidence_audit>
  <source_map>Session findings summary, core patterns, hidden assumptions</source_map>
  <decomposition>Technique extracted vs. property; reusable patterns identified</decomposition>
  <weakness_audit>Categories: Architecture, Security, Reliability, Maintainability, Yuri/Yuri fit</weakness_audit>
  <hardened_findings>Evidence-backed, architecture-verified, ready for skill transformation</hardened_findings>
</mangekyo_evidence_audit>
```

**Routing:**
- DeepSeek Pro worker → source map + decomposition
- DeepSeek Pro worker → weakness audit + hardening synthesis (background when possible)
- Main thread → integrate hardened findings into Phase 6

**Why:** Raw session learnings often reflect surface fixes, assumption-driven conclusions, or unmeasured claims. MANGEKYO audit hardens them into reusable, architecturally sound, Yuri-aligned patterns before they become skill updates. This phase eliminates weak learnings and elevates sound ones.

### Phase 6 — Skill Refinement

A skill update must be: specific, triggerable, testable, short, connected to a failure/success/repeated pattern.

Good: `Before claiming a generated artifact is done, run ls -l and inspect first lines or metadata.`
Bad: `Be more careful with artifacts.`

```xml
<skill_refinement_patch>
  <skill id="">
    <trigger></trigger>
    <rule></rule>
    <validation></validation>
    <source_session_evidence></source_session_evidence>
  </skill>
</skill_refinement_patch>
```

### Phase 7 — Self-Improvement System Update

Update current self-improvement system and related docs where allowed. If direct mutation is not safe or not possible, output a patch proposal — do not claim injection.

```xml
<self_improvement_update>
  <mode>applied | patch_proposed | skipped</mode>
  <targets>
    <target path=""></target>
  </targets>
  <changes></changes>
  <reason_if_skipped></reason_if_skipped>
</self_improvement_update>
```

### Phase 7.5 — LLM-Wiki Reflection (conditional, tiered memory)

**Tiered memory integration** — atoms created here feed Tier 3 (cold, semantic). Boot packet refresh (Phase 8) updates Tier 2 (warm, episodic). Main context remains Tier 1 (hot, in-session).

If `system-overlays/karpathy-llm-wiki/` exists in the current project:

1. Run `system-overlays/karpathy-llm-wiki/prompts/end-of-transmission-wiki-reflection.md`.
2. Extract durable learnings as atomic claims (source-backed only; max confidence 0.70 for session-derived claims without external source).
3. Create or update wiki pages where evidence is sufficient.
4. Append to `logs/ingest-log.md`, `logs/change-log.md`, and update indexes.
5. Flag core-system improvement candidates as **recommendations only** — do not mutate core files.
6. If the overlay directory does not exist, skip this phase silently.

**Micro-EOT note**: In micro-EOT mode (background, auto-triggered), run Steps 1–3 only (collect → filter → atoms). Full wiki run (Steps 4–9) reserved for full EOT only.

This phase is non-blocking. If it errors or the overlay is absent, Phase 8 proceeds normally.

### Phase 8 — Next Session Boot Packet

```xml
<next_session_boot_packet>
  <current_state></current_state>
  <must_remember></must_remember>
  <open_threads></open_threads>
  <recommended_first_actions></recommended_first_actions>
  <do_not_repeat></do_not_repeat>
  <artifacts_to_load_first></artifacts_to_load_first>
</next_session_boot_packet>
```

### Phase 9 — Main Thread Synthesis

After deterministic/offloaded work is complete, main thread synthesises directly from DeepSeek worker outputs:
- final reflection summary
- corrected record of what happened
- skill refinement patch
- self-improvement update
- next-session boot packet
- remaining risks

Main thread must reject vague learning summaries and require evidence-backed updates. No additional Claude model spawn; synthesis performed on main thread using cached context from DeepSeek outputs.

### Phase 10 — Pulse Cortex Archive Promotion (PATCH 039)

Promote high-signal pulse-bus findings to durable learning. Reads `.claude/state/pulse-bus.json` ring, filters to entries from this session (matching session_id or recent turn_ids), and writes a daily archive at `_SYSTEM/SELF-IMPROVEMENT/pulse-archive/YYYY-MM-DD.json`.

Filter rules:
- Keep all `severity >= WARN` findings
- Keep all `source === 'CORTEX'` (advisor disagreement markers)
- Keep all `source === 'YURI_RISK'` strategic foresights regardless of severity
- Drop pure INFO findings from DeepSeek/OpenClaw (too noisy)
- Drop expired entries

Archive shape:
```json
{
  "date": "YYYY-MM-DD",
  "session_id": "...",
  "commits": ["sha1", "sha2"],
  "findings": [
    {
      "ts": "...",
      "turn_id": "...",
      "source": "DEEPSEEK|OPENCLAW|YURI_RISK|CORTEX",
      "severity": "WARN|HIGH|CRITICAL",
      "finding": "...",
      "runtime_kind": "model_advisor|bridge_advisory|native_function|meta",
      "outcome_marker": null // future EOT phase fills this with "applied|ignored|wrong"
    }
  ],
  "telemetry": {
    "trivial_skip_count": N,
    "pulse_spawn_count": M,
    "disagreement_count": K
  }
}
```

This archive becomes the calibration corpus for Innovation A (pulse memory + learning loop). After 100+ archived findings, classifier heuristics in `Scripts/llm-compat-contract.mjs` can be tuned against actual outcomes rather than vibes.

Implementation note for Phase 10 worker: read `.claude/state/pulse-bus.json`, filter, write archive, then call `bash .claude/state/pulse-bus.json:resetForNewSession` equivalent via the Node module (see `.claude/hooks/pulse-bus.js` `resetForNewSession`).

After archive write, record Amp usage telemetry:
```bash
node Scripts/amp-usage-tracker.mjs
```
This appends a dated entry to `_SYSTEM/amp-usage-log.md` (credits remaining + thread count). Non-blocking — if amp is unavailable, log the error and continue.

---

## 33 Architect Council Reflection Review

Mandatory veto seats:

Prime Systems Architect · Orchestrator Architect · Worker Delegation Architect · Deterministic Tooling Architect · Repository Truth Architect · Backend Data Architect · Metric Truth Architect · Security Architect · Observability Architect · Swarm Learning Architect · Physis System Health Architect · Conclave Guardian Architect

```xml
<architect_council_reflection_review>
  <stage>end_of_transmission</stage>
  <mode>full_auto</mode>
  <decision>pass | pass_with_corrections | fail_requires_followup</decision>
  <vetoes></vetoes>
  <major_findings></major_findings>
  <required_skill_updates></required_skill_updates>
  <protected_area_status></protected_area_status>
  <auto_execution_status>completed | completed_with_blocked_items | failed_safe</auto_execution_status>
</architect_council_reflection_review>
```

Seat duties:
- **Repository Truth Architect** — flags claims made without inspecting files or source truth
- **Deterministic Tooling Architect** — flags missed grep, tests, validators, diff tools
- **Worker Delegation Architect** — checks DeepSeek/tool/worker routing was appropriate and no Haiku/Sonnet EOT worker was used
- **Metric Truth Architect** — checks "success" and "completion" claims are evidence-based
- **Swarm Learning Architect** — checks session learning became measurable skill refinement
- **Physis System Health Architect** — checks system-health lessons became recommendations
- **Conclave Guardian Architect** — confirms protected areas remained untouched

---

## Offload Routing Map

```xml
<end_of_transmission_routing mode="full_auto" user_permission="pre_granted">
  <task id="eot-000" owner="main_thread" permission="granted">Codex quota smoke pre-check: run 'node Scripts/codex-offload-runner.mjs gpt-5.4-mini --smoke' before dispatching any Codex task. If status is SKIPPED_OR_RATE_LIMITED, skip eot-006/eot-007 Codex routes and use main-thread synthesis directly. Avoids wasted dispatches when quota saturated. Per PATCH 005 in this skill's Session Notes.</task>
  <task id="eot-001" owner="deterministic_tool" permission="granted">Collect session artifacts, file paths, timestamps, sizes, and generated outputs.</task>
  <task id="eot-002" owner="deterministic_tool" permission="granted">Extract tool calls, errors, checks, command outputs, and validation evidence.</task>
  <task id="eot-003" owner="deterministic_tool" permission="granted">Search current self-improvement docs, related protocols, TODOs, and duplicated prompt sections.</task>
  <task id="eot-004" owner="deterministic_tool" permission="granted">Compare promised artifacts against actual files and inspect generated artifact headers where practical.</task>
  <task id="eot-005" owner="local_subagent" model="deepseek-r1:latest | qwen2.5-coder:latest" permission="granted">MANGEKYO Phase 1-2: Observe session evidence + decompose into reusable patterns vs. surface observations. Output: source map + decomposition table.</task>
  <task id="eot-005b" owner="deepseek_worker" model="deepseek-v4-flash" run_in_background="true" permission="granted" output_file=".claude/eot/continuous/worker-005b-{ts}.md">MANGEKYO Phase 3: Audit hardened evidence for weaknesses (architecture, security, reliability, maintainability, Yuri fit). Synthesize into evidence-backed findings ready for skill transformation. IMPORTANT: Write final output to the output_file path using write_file tool so main thread can read it after background completion.</task>
  <task id="eot-006" owner="deepseek_worker" model="deepseek-v4-flash" run_in_background="true" permission="granted" output_file=".claude/eot/continuous/worker-006-{ts}.md">Draft success, failure, partial, and risk ledgers from evidence (informed by Phase 5.5 hardening). IMPORTANT: Write final output to the output_file path using write_file tool so main thread can read it after background completion.</task>
  <task id="eot-007" owner="deepseek_worker" model="deepseek-v4-flash" run_in_background="true" permission="granted" output_file=".claude/eot/continuous/worker-007-{ts}.md">Draft skill patch candidates with trigger, rule, validation, and evidence (operating on Phase 5.5 hardened findings). IMPORTANT: Write final output to the output_file path using write_file tool so main thread can read it after background completion.</task>
  <task id="eot-008" owner="deterministic_tool" permission="granted" conditional="system-overlays/karpathy-llm-wiki/ exists">Run LLM-Wiki EOT reflection: extract session atoms, update wiki pages, update indexes, append logs. Prompt: system-overlays/karpathy-llm-wiki/prompts/end-of-transmission-wiki-reflection.md. Skip silently if overlay absent.</task>
  <task id="eot-009" owner="main_thread" permission="granted">Perform final synthesis of ledgers, skill patches, and self-improvement updates. No Claude model spawn; main thread synthesizes from DeepSeek worker and deterministic-tool outputs.</task>
</end_of_transmission_routing>
```

---

## Required Artifacts

When environment allows file output, produce or update in `.claude/eot/YYYY-MM-DD_HHMM/`:

1. `SESSION_REFLECTION_REPORT.md`
2. `MANGEKYO_EVIDENCE_AUDIT.md` — Phase 5.5 hardening (source map, decomposition, weakness audit)
3. `SESSION_SUCCESS_FAILURE_LEDGER.md` — informed by Phase 5.5 findings
4. `SKILL_REFINEMENT_PATCH.md` — operating on Phase 5.5 hardened evidence
5. `SELF_IMPROVEMENT_SYSTEM_UPDATE.md`
6. `NEXT_SESSION_BOOT_PACKET.md`

---

## Final Output Contract

```xml
<end_of_transmission_final mode="full_auto">
  <session_summary></session_summary>
  <verified_successes>
    <item evidence=""></item>
  </verified_successes>
  <failures_or_partials>
    <item severity="low | medium | high" evidence="" correction=""></item>
  </failures_or_partials>
  <what_could_have_been_done_better>
    <item></item>
  </what_could_have_been_done_better>
  <skill_updates>
    <skill trigger="" validation=""></skill>
  </skill_updates>
  <self_improvement_updates>
    <update target="" status="applied | proposed | skipped"></update>
  </self_improvement_updates>
  <next_session_boot_packet>
    <item></item>
  </next_session_boot_packet>
  <offload_summary>
    <tools_used></tools_used>
    <deepseek_workers_used></deepseek_workers_used>
    <main_thread_synthesis></main_thread_synthesis>
  </offload_summary>
  <blocked_items>
    <item reason=""></item>
  </blocked_items>
  <remaining_risks>
    <risk></risk>
  </remaining_risks>
</end_of_transmission_final>
```

If XML is too heavy for the user-facing response, use readable Markdown with the same headings and fields.

---

## Session Notes

### 2026-05-29
- session: 349m | peak ctx: 71% | compacts: 4
- tools: Bash×268, Read×133, Edit×104, TodoWrite×12, Write×8, StructuredOutput×8, Workflow×2, ToolSearch×1, AskUserQuestion×1
- corrections: none
- errors: none

### 2026-05-28
- session: 161m | peak ctx: 68% | compacts: 3
- tools: Bash×398, Read×216, Edit×113, StructuredOutput×28, Write×18, TodoWrite×7, Workflow×5, AskUserQuestion×3, ToolSearch×1
- corrections: none
- errors: none

### 2026-05-18
- session: 521m | peak ctx: 0% | compacts: 0
- tools: Bash×97, Read×60, Edit×24, TodoWrite×10, Write×8, ToolSearch×2, mcp×1, ExitPlanMode×1, Skill×1
- corrections: Base directory for this skill: /Users/marcelspatz/.claude/skills/end-of-transmission

# End of Transmission

Continuous background reflection engine for YURI. Runs **two modes**:

1. **Micro-EOT** (ba
- errors: none

### 2026-05-18
- session: ~90m | peak ctx: ~40% | compacts: 0
- tools: Bash×35+, Edit×18, Read×20+, Write×6, TodoWrite×5, ToolSearch×2, ExitPlanMode×1, Skill×1
- corrections: User caught Haiku Explore agent spawns TWICE in same session. Both stopped mid-execution.
- errors: deepseek bg worker output not captured; backend .env cp denied by user
- notes: Gate NOT_READY→READY. Semantic LTM live. 4 new lane tools. TOOL_LOOP recovery. calibrationStatus in route-plan. phase 7c in neuron-loop. SELF_DRIFT in brain. autoRecordOutcome wired. NO Agent() for reads rule written + embedded.

### 2026-05-17
- session: 65m | peak ctx: 0% | compacts: 0
- tools: Bash×73, Edit×43, Read×33, mcp×28, TodoWrite×12, Write×6, ToolSearch×3, ExitPlanMode×2, AskUserQuestion×1, Skill×1
- corrections: screenshot 1: what is this recommendation, is it useful? if yes, i need yuri to provide inputs like that too.
screenshot 2/3: done 

i have run both gitnexus and push origin main commands in terminal

there are no loose docs left except | I  cant press F12, im on a macbook. it is also not a cache problem, something got fucked up.

I will say this one last time. all of these annoying manual pushes, bash permission denials, blocks etc ne
- errors: none

### 2026-05-17
- session: 160m | peak ctx: 0% | compacts: 0
- tools: Bash×119, Read×52, Edit×34, Write×5, ToolSearch×2, mcp×1, ExitPlanMode×1, Skill×1
- corrections: none
- errors: none

### 2026-05-16
- session: 126m | peak ctx: 0% | compacts: 0
- tools: Bash×76, Read×36, Edit×17, Write×4, ToolSearch×2, mcp×1, ExitPlanMode×1, Skill×1
- corrections: none
- errors: none

### 2026-05-14
- session: 27m | peak ctx: 0% | compacts: 0
- tools: Bash×70, Read×14, Edit×11, mcp×9, Write×6
- corrections: none
- errors: none

### 2026-04-27
- session: 3m | peak ctx: 50% | compacts: 0
- tools: Bash×8, Read×5
- corrections: none
- errors: none

### 2026-04-26
- session: 7m | peak ctx: 0% | compacts: 0
- tools: Bash×15, Read×9, Write×4, Agent×1, ToolSearch×1, ExitPlanMode×1, Edit×1
- corrections: none
- errors: none

### 2026-04-26 (v2: Continuous Background EOT)
- EOT v2 implementation: auto-triggered micro-EOT, Claude-worker removal, tiered memory integration
- changes: added auto-trigger conditions (≥15 tool calls, context ≥60%, error recovery, cycle completion)
- added micro-EOT mode, now routed through DeepSeek workers and written to `.claude/eot/continuous/`
- removed Claude-worker EOT routing: eot-005/005b use DeepSeek Pro, eot-006/007 use DeepSeek Flash, eot-009 remains main-thread synthesis
- updated Phase 7.5: tiered memory framing, micro-EOT wiki atom creation limited to steps 1-3
- updated frontmatter description, Full Auto Permission Grant, Execution Model, routing table
- harmony with Karpathy wiki: continuous atom creation via every micro-EOT, not just full EOT
- model routing enforcement: EOT uses DeepSeek lanes only; no Haiku or Sonnet EOT workers

### 2026-04-25
- session: injection + first live EOT run
- peak ctx: ~40%
- compacts: 0
- tools: Read×6, Write×9, Edit×3, Bash×3, Agent×1, Skill×1
- corrections: /eot CLI alias missing — fixed during EOT run (commands/eot.md created)
- errors: "Unknown command: /eot" on user test — root cause: triggers frontmatter ≠ CLI command file
- notes: symbiosed from MARCEL_UwU_End_of_Transmission_Global_Command.md; artifacts at .claude/eot/2026-04-25_1207/; skill refinement patch 001+002 logged

### 2026-04-26
- session: LLM-Wiki overlay wiring
- peak ctx: ~15%
- compacts: 1
- tools: Read×3, Edit×3
- corrections: none
- errors: none
- notes: Added Phase 7.5 (LLM-Wiki Reflection, conditional) and eot-008 routing task. Non-blocking; skips if system-overlays/karpathy-llm-wiki/ absent. Patch proposal archived at system-overlays/karpathy-llm-wiki/patches/PATCH-EOT-WIKI-INTEGRATION.md.

### 2026-04-25 (update 2)
- session: FULL_AUTO upgrade from MARCEL_UwU_End_of_Transmission_Global_Command_FULL_AUTO.md
- peak ctx: ~30%
- compacts: 0
- tools: Read×2, Edit×8
- corrections: none
- errors: none
- notes: added Full Auto Permission Grant + No-Interruption Rule + Hard Boundaries sections; updated Phase 0/Routing/Council/Output XMLs with full_auto attrs and blocked_items field; updated both CLAUDE.md inject blocks to full-auto version

### 2026-05-14
- session: YURI OS 75%+ campaign + Codex multi-tier + palace rebuild
- peak ctx: high | compacts: 0
- tools: Bash×80+, Read×30+, Edit×20+, Write×5, Skill×1, Agent×0
- corrections: Codex rate-limited during EOT dispatch → main thread fallback; artifacts written by earlier Codex invocation at 09:04
- errors: gpt-5.5 + gpt-5.4-mini both SKIPPED_OR_RATE_LIMITED during EOT burst; palace-context-inject.js pointed at wrong paths
- notes: PATCH 005 added — single long session > multiple short sessions for Codex burst work

## PATCH 005 — Stay in session through Codex rate-limit windows

**Skill:** `end-of-transmission` / session lifecycle
**Trigger:** Codex returns SKIPPED_OR_RATE_LIMITED during any multi-dispatch pipeline
**Rule:** Do NOT end the session and start a new one when Codex hits a rate limit. Session startup
overhead (hooks, tool loads, palace inject, model warm-up) costs 2-3min per session. A Codex
rate-limit window is only 5-10min. During the window: dispatch DeepSeek analysis, run llama3.2
local tasks, do git/gitnexus/deterministic work. Quota auto-resets; resume Codex in same session.
Only EOT when context window forces it (80%+) or user explicitly requests it.
**Validation:** No new session spawned within 15min of a Codex rate-limit event.
**Evidence:** 2026-05-14 — multiple parallel Codex dispatches (EOT 6 artifacts + Q-2 + Q-4 + hook fix)
saturated burst quota. Subsequent sessions required re-paying startup overhead unnecessarily.
See: `memory/feedback_long_session_codex_burst.md`