Track and surface sub-agent dispatch calibration ratios. Extract from JSONL transcript or read existing ledger. Per-agent clean/blocked/errored/partial trends.
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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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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Nightly uses this shared protocol after /system-check. It never infers a
durable state change from one agent-authored claim.
This protocol may update only:
vault/memory/runtime/GOAL_STACK.jsonvault/memory/runtime/BELIEF_STATE.jsonl (append-only)vault/memory/runtime/SELF_MODEL.jsonvault/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.
Direct updates require one of:
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.
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.
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.
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.
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.
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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Track and surface sub-agent dispatch calibration ratios. Extract from JSONL transcript or read existing ledger. Per-agent clean/blocked/errored/partial trends.
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Compose the AIgent's body state by reading existing signals. Lazy compute. Never polled. Reports the five pressures + recommended reflex.
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Generate a structured delegation brief for any task
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Quarterly skill that walks the skill-index against the actual SKILL.md files on disk, reports drift (skills indexed that no longer exist, skills on disk that aren't enrolled, skills whose descriptions have changed since enrollment). Hardens the auto-enrollment pipeline against silent rot.
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When a [CADDY] hint fires and the principal is confused why, /caddy-explain walks the scoring transparently — which trigger matched, what points it earned, what the threshold was, what other skills were close. Pairs with the legibility thesis. Caddy's decisions should be inspectable on demand.
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Enroll a skill into Caddy's index so it can be surfaced when the right prompt arrives. Use when a new skill is created, copied in, or when a skill needs updated triggers. Usage — "/caddy-enroll <path to SKILL.md>".
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