accept
Use as a terminal node that emits accepted@1 only when an upstream verdict@1 says pass, and fails loudly on a rejected draft…
Use to compute summary statistics (count/sum/mean/min/max) from a readings artifact, preserving the upstream source trace. Single tool. Reusable standalone.
$ npx -y skills add s0912758806p/agentic-sop-to-work --skill compute --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/computeContext preview
The summary Claude sees to decide when to auto-load this skill.
Use to compute summary statistics (count/sum/mean/min/max) from a readings artifact, preserving the upstream source trace. Single tool. Reusable standalone.
name: compute description: Use to compute summary statistics (count/sum/mean/min/max) from a readings artifact, preserving the upstream source trace. Single tool. Reusable standalone.
SOP 流程的第 2 步。讀上游 readings、算統計、透傳來源追溯。
`python3 skills/compute/tool.py --in <out/a.json> --out <out/b.json>`
`skills/compute/` + `lib/kit.py` 可單獨抽出;只要上游給 `readings@1` artifact 即可運作。
Loop Engineering — make an agent's loop produce verifiable progress, stay honest, and stay bounded, by deterministic mechanism rather than vibes.
Use as a terminal node that emits accepted@1 only when an upstream verdict@1 says pass, and fails loudly on a rejected draft…
Use to extract numeric readings (key: value lines) from a plain-text input into a structured readings artifact with…
Use to render a DRAFT Markdown summary report from a stats artifact, including a source-trace section; output is always a DRAFT…
Use to derive a deterministic reject/pass verdict from a draft@1 artifact's open-defect count, emitting a verdict@1 artifact for…
Use when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new…
Use when reviewing or auditing an existing agent / LLM-pipeline architecture — e.g. 'is my workflow actually decomposed or…