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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Capture a confident agent claim (Phase 1) or resolve one as right/wrong (Phase 2) in vault/memory/TRUST_DECAY.md. Builds the longitudinal record of agent calibration over time. Pairs with /honesty-check (which should reduce Phase 1 frequency) and /diagnose (which surfaces causes that often reveal Phase 2 events).
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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 two-phase ledger that tracks confident agent claims and their eventual outcomes. See [[Cost of Confidence]] for the doctrine.
## YYYY-MM-DD — {short claim summary}
**Claim:** "{the actual confident statement, verbatim}"
**Source:** {agent name or self}
**Context:** {what task, what session, what was being worked on}
**Verification stated:** {what the claimant said they verified, if anything}
**Status:** OPEN — awaiting outcome
Append to vault/memory/TRUST_DECAY.md under the "Open" section.
The principal can capture manually, OR /honesty-check (when wired) can auto-capture any unhedged confident claim it produces.
When a previously-captured claim is proved or disproved:
vault/memory/TRUST_DECAY.md matching the claim**Resolution (YYYY-MM-DD):** WRONG | PARTIALLY WRONG | CONFIRMED CORRECT
**Evidence:** {what surfaced the discrepancy — file/line/log/observation}
**Time-to-discovery:** {duration from claim to discovery}
**Trust-decay event:** YES | NO
**Pattern:** {one line — what category of mistake/correctness was this?}
If the principal asks for the trust trajectory, walk the ledger and compute:
Trust trajectory ({start date} → {end date}):
- Total claims captured: N
- Confirmed correct: M (X%)
- Wrong: P (Y%)
- Partially wrong: Q (Z%)
By category:
- Doc work: X/Y correct
- Infrastructure: ...
- Production fixes: ...
Recurring patterns:
- {pattern name}: occurred N times — promote to /diagnose checks?
This output becomes the basis for /retro analysis and feeds into the [[Common Failure Modes]] corpus.
The pairing is the whole point. A confident claim with no resolution is just rhetoric. A wrong outcome with no original claim is just a bug. The pair — confident claim, then disconfirmation — is what measures calibration.
vault/memory/TRUST_DECAY.md — the ledger fileStop hook that prompts a Phase 1 capture when a turn's confident claims went unrecorded/retro (forthcoming v0.3) — quarterly analysis that consumes this ledger还没有评价。欢迎分享你的使用感受。
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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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