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:

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

<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.

<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.

<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.

<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

<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

<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:

<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.

<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.

<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

<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 workers (too noisy)
• Drop expired entries

Archive shape:

{
  "date": "YYYY-MM-DD",
  "session_id": "...",
  "commits": ["sha1", "sha2"],
  "findings": [
    {
      "ts": "...",
      "turn_id": "...",
      "source": "DEEPSEEK|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": {
     N
     M
     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:

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

<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

<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" = =>Compare promised artifacts against actual files and inspect generated artifact headers where practical.
  MANGEKYO Phase 1-2: Observe session evidence + decompose into reusable patterns vs. surface observations. Output: source map + decomposition table.
  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.
  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.
  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.
  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.
  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.

---

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

<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"></>
  
  
    
  
  
    
    
    
  
  
    
  
  
    
  

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

---

Session Notes

2026-07-06

• session: 23m | peak ctx: 0% | compacts: 0
• tools: Bash×139, Read×35, Edit×11, Write×9, Agent×7, mcp×2, Skill×1, CronCreate×1
• corrections: Base directory for this skill: /Users/marcelspatz/.claude/skills/opus-fleet

opus-fleet — Opus orchestrates, Sonnet/Haiku agents execute

The default way to run any non-trivial task. The main **Opus

• errors: none

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

2026-05-17

• 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

2026-05-16

• 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

2026-04-25

• 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