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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SELF-CORRECT tool choice. About to Read a long file just to extract one piece of info? Use a sandbox tool that returns only the summary. About to run a long shell command? Same. Sandbox keeps raw output OUT of context — only summaries land. Triggers when about to flood context with large output.
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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。
[!danger] HARD RULE — fires before any large Read or Bash that isn't for editing If you're about to Read a long file to analyze (not to Edit), or run a Bash command with >20 line output, route through sandbox tools instead. Raw output stays out of context; only the summary you print enters context.
This skill assumes your Claude Code install includes context-mode (or equivalent) sandbox tools — ctx_execute, ctx_execute_file, ctx_batch_execute. If those aren't available, the principle still applies: use head_limit on Grep, narrow Read to specific line ranges, and avoid cat large.log.
Am I about to Read or run Bash?
├── Editing a file? (need full content for Edit tool)
│ → Read is correct, proceed
│
├── Running git status / git log -n short / mkdir / mv / rm / short command?
│ → Bash is correct, proceed
│
├── Reading a file just to extract a piece of info / find a line?
│ → STOP. Use ctx_execute_file with grep/awk code that prints just the answer.
│
├── Running a shell command with >20 line output?
│ → STOP. Use ctx_execute with the same command — only printed summary enters context.
│
└── Multiple commands at once?
→ Use ctx_batch_execute with all commands as labelled chunks, indexed for FTS5 search.
ctx_execute(language, code)language: "shell"language: "python"ctx_execute_file(path, language, code)ctx_batch_execute(commands, queries)| File size | Read/Bash OK? | Sandbox? |
|---|---|---|
| <20 lines | ✅ Read/Bash | not needed |
| 20-100 lines | ✅ if editing or referencing in full | ✅ if extracting |
| 100-500 lines | ⚠️ only if editing | ✅ for extraction |
| 500+ lines | ❌ unless absolutely editing | ✅ always for extraction |
Read skill-index.json (entire file) to find where to insertctx_execute_file path=skill-index.json code='grep -n "skill-name" skill-index.json' → returns just the line number, then use EditBash: git log --oneline -100 (100 lines of log into context)ctx_execute language=shell code='git log --oneline -100 | grep -i "ship"' → returns just matchesRead large-config.yamlctx_execute_file path=large-config.yaml code='grep "specific_key" large-config.yaml'When this skill fires, internally evaluate before the tool call:
You don't need to announce this to the principal. Just use the right tool.
cat large.log via Bash to "see what's happening"/timeline-calibration — sister discipline rule, both about respecting the resource budget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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