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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Run a decision through the 12-lens framework
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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。
Run any decision through the evaluation framework from system/04_decision_frameworks.md. Produces a structured recommendation.
/decide [decision or opportunity to evaluate]
system/14_decision_framework.md
system/12_authority_matrix.md
DECISION: [What we're deciding]
OPTIONS: [A vs B vs C]
RECOMMENDATION: [What to do and why]
KEY LENSES: [3-4 lenses that drove the recommendation]
TRADE-OFF: [What we're giving up]
CONFIDENCE: [High / Medium / Low — and why]
AUTHORITY: [Level 1/2/3 — can the AIgent act or needs approval]
NEXT ACTION: [Specific immediate step]
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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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