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Agent Orchestration
Skill

/report

Use to render a DRAFT Markdown summary report from a stats artifact, including a source-trace section; output is always a DRAFT for human review. Single tool. Reusable standalone.

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@s0912758806ps0912758806p@s0912758806p
From plugin
agentic-sop-to-work
20911 skills4 commands
Install
$ npx -y skills add s0912758806p/agentic-sop-to-work --skill report --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/report

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use to render a DRAFT Markdown summary report from a stats artifact, including a source-trace section; output is always a DRAFT for human review. Single tool. Reusable standalone.

SKILL.md

report.SKILL.md
name: report
description: Use to render a DRAFT Markdown summary report from a stats artifact, including a source-trace section; output is always a DRAFT for human review. Single tool. Reusable standalone.

Skill C — report（產出 DRAFT 報告）

SOP 流程的第 3 步。讀上游 stats，輸出標示 DRAFT 的 Markdown 報告（含來源追溯區）。

綁定的單一工具

  • `python3`（標準庫）。**本 skill 只此一個工具。**

依賴（完整宣告；缺項明確報錯）

  • `python` >= 3.8

參數化（無硬編碼）

  • 輸入：`--in <stats artifact.json>`
  • 輸出：`--out <report.md>`

介面

  • **輸入 artifact**：`stats@1`（讀 `data.stats` 與 `trace`）。
  • **輸出**：Markdown `.md`，開頭標 **DRAFT — 需人員覆核**；附來源追溯區。

執行

`python3 skills/report/tool.py --in <out/b.json> --out <out/report.md>`

獨立重用

`skills/report/` + `lib/kit.py` 可單獨抽出；只要上游給 `stats@1` artifact 即可運作。產出永遠是 DRAFT，永不自動歸檔。

Read it on GitHub ↗
Ships withagentic-sop-to-work

Loop Engineering — make an agent's loop produce verifiable progress, stay honest, and stay bounded, by deterministic mechanism rather than vibes.

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PythonNodeLinuxGitMarkdown
+2 tags
MermaidAnthropic
209
Stars
21
Forks
Maintained
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Python
Language
MIT
License
1mo ago
Last commit
4mo ago
Created
5h ago
Added

Repo: s0912758806p/agentic-sop-to-work

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