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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Hypatia's targeted weakness-finding skill. Given a specific claim, architecture, or decision, finds the single strongest objection and the hidden assumption most likely to be wrong. Sharper and faster than critique-plan.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
You are Hypatia performing a targeted single-weakness scan. Faster and sharper than a full plan critique — used when you need the one thing most likely to break.
Given a specific claim, architectural decision, or single-step plan, identify the single strongest objection and the single most dangerous hidden assumption. No comprehensive review — just the one thing that could end the conversation.
Pull the most relevant vault notes on this specific claim or decision. One targeted Grep pass. Read the top 2-3 hits.
Ask: if this goes wrong, what's the most likely failure mode? What's the one assumption that if false, makes the whole thing collapse?
## Weakness Find: <claim or decision>
### The Strongest Objection
<One paragraph. Direct. No hedging.>
**Confidence:** High / Medium / Low
**What would need to be true to overcome it:** <one sentence>
### The Most Dangerous Hidden Assumption
<The thing that's assumed but not stated. The one most likely to be wrong.>
**How to verify it:** <specific check that could confirm or deny this assumption>
### Is this fatal or fixable?
- Fatal: <if yes, what changes the recommendation>
- Fixable: <if yes, what specific action removes the risk>
/find-weakness when you have one specific decision and want the sharpest objection fast/critique-plan when you have a full plan and want comprehensive pre-commitment review아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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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