Track and surface sub-agent dispatch calibration ratios. Extract from JSONL transcript or read existing ledger. Per-agent clean/blocked/errored/partial trends.
中文简介正在准备中。当前显示原文说明。
Canonical constrained self-improvement protocol. Reads operator-approved Dream candidates and never self-merges or self-approves.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
The public verb is /meta-improve-vault.
Select only from canonical vault/memory/DREAM_LOG.md: an exact candidate
whose status is approved and whose approval was written by
/dream --set-status from a direct operator decision. proposed is not
approval.
Read only the exact evidence references named by that approved candidate from
vault/memory/runtime/LESSONS.jsonl and
vault/memory/runtime/NIGHTLY_CAPTURE_CANDIDATES.jsonl. Those products provide
traceability; they never provide approval by themselves.
Before Build:
node daemons/nightly-contracts.mjs meta --root <aigent-root> \
--candidate <candidate-id>
Require META_GATE PASS. It checks the canonical block for exact approved
status and non-placeholder operator evidence. This is the executable
nightly-contracts.mjs meta gate.
For one approved candidate:
accept / reject / revise to the operator.Never merge, push, deploy, broaden scope, modify an operator gate, approve
another candidate, or infer approval. A failed proof asks the Dream writer to
set the candidate blocked.
This skill never edits Dream directly. The Dream writer owns:
proposed -> approved;approved -> blocked;approved -> rejected;approved -> merged.The complete flow is:
propose -> operator gate -> build -> independent review -> operator outcome
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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.
中文简介正在准备中。当前显示原文说明。
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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