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cognitive-update

Conservative close-parity updates to GOAL_STACK, BELIEF_STATE, SELF_MODEL, and PROCEDURES. Writes only explicit or mechanically evidenced deltas; ambiguity means no write.

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wrg32786/aigent-os星标 25(GitHub 25 + cccskills 0)

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包含的文件(1)

  • SKILL.md3.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

/cognitive-update

Nightly uses this shared protocol after /system-check. It never infers a durable state change from one agent-authored claim.

Ownership fence

This protocol may update only:

  • vault/memory/runtime/GOAL_STACK.json
  • vault/memory/runtime/BELIEF_STATE.jsonl (append-only)
  • vault/memory/runtime/SELF_MODEL.json
  • vault/memory/runtime/PROCEDURES.jsonl (append-only)

The documented memory/ fallback is valid for minimal installations. This protocol never writes ACTIVE_STATE.json or STATE_EVENTS.jsonl; the runtime state daemon owns those products. It never writes Dream or measurement ledgers.

Evidence admission

Direct updates require one of:

  • the operator's explicit goal, belief, or procedure statement with a durable source reference;
  • a repository-owned command or test invoked with explicit arguments and a literal exit code;
  • an external artifact that directly decides the claim;
  • two independent observed occurrences for a recurring capability or failure.

Capsules and Session Log entries are discovery sources. They cannot verify their own confident claims. If evidence is incomplete, skip the durable update and stage an observation through the nightly evidence flow.

File rules

GOAL_STACK.json

Move, append, or update only explicit goals, blockers, next actions, and completions. Completion requires success criteria plus an external artifact or operator confirmation. Preserve unknown fields and unrelated arrays.

BELIEF_STATE.jsonl

Append only. A revision reuses the original id and includes revision_note; a new belief receives max numeric bNNN plus one. Do not use line count. Serialize UTF-8 JSON and parse the appended line.

SELF_MODEL.json

Update only named capability, limitation, recurring-failure, reliability-risk, or achieved-learning-goal fields. When alias arrays coexist, update each alias pair in lockstep or fail SELF_MODEL_ALIAS. A one-off result is not a durable capability.

PROCEDURES.jsonl

Append only when the sequence occurred at least twice, the operator explicitly made it standing, or a non-obvious workflow was mechanically proven. Allocate max numeric pNNN plus one and parse after append.

Write discipline

Hash every source immediately after read and compare again before write. A hash change aborts rather than clobbering newer state. Preserve JSON formatting where practical; always serialize JSONL.

A nightly fire uses the immutable snapshot created by nightly-pass begin. For explicit use, create an operating-system temp snapshot:

node daemons/nightly-contracts.mjs snapshot --root <aigent-root> \
  --out <os-temp>/cognitive-contract-before.json

After any updates:

node daemons/nightly-contracts.mjs cognitive --root <aigent-root> \
  --snapshot <os-temp>/cognitive-contract-before.json \
  --new-belief-ids <csv> --new-procedure-ids <csv> \
  --self-alias-additions <csv>

Only COGNITIVE_CONTRACT PASS is green. The validator re-parses all four products, proves append-only suffixes, derives allocated ids, validates new-row schemas, and derives alias additions and removals.

Return:

COGNITIVE_UPDATE PASS goals=<N> beliefs=<N> self_model=<N> procedures=<N> skipped=<N>

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