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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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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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。
When Caddy surfaces a hint and you don't see why, run /caddy-explain to see the deterministic scoring. The scoring should never be a black box.
If the principal provides the prompt explicitly, use it. Otherwise:
For each skill in .claude/skill-index.json:
\bword\b regex) → 1 pointOutput format:
🔍 Caddy scoring for prompt:
"{prompt text}"
Threshold: 2 (skills below this score are silent)
Max hints: 2 (top scorers above threshold are surfaced)
SURFACED:
/skill-a — score 5 — matched: "phrase match" (3pts), "keyword" (1pt), "another" (1pt)
/skill-b — score 3 — matched: "exact phrase" (3pts)
NEAR MISSES (below threshold):
/skill-c — score 1 — matched: "word" (1pt)
/skill-d — score 1 — matched: "another" (1pt)
SILENT (no triggers matched):
/skill-e, /skill-f, /skill-g, /skill-h, ... (28 more)
Reasoning:
Caddy chose /skill-a + /skill-b because their scores cleared the threshold
of 2 AND they were the top 2 (max 2 hints per prompt).
/skill-c and /skill-d had matches but didn't clear threshold.
Ask: would they like to:
If they pick adjust/narrow, they can run /caddy-enroll <skill-path> to update the index, or edit .claude/skill-index.json directly.
The legibility thesis says every layer of the framework must be inspectable. Caddy is one of the most-fired layers (every prompt). Without /caddy-explain, its decisions become a black box — which violates the thesis and erodes trust over time.
/caddy-explain makes Caddy's decisions auditable on demand. The scoring is deterministic; the explanation should match.
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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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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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Mute a Caddy hint class for a window. Defaults to 4h auto-expiry. Classes — memory, context, body, routing, all.
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