A skill your agent uses when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new agent-workflow project — even if the user never says…

MITAuto-check passedBusiness, Finance & HR

Install Agentic Sop

skills CLI
$ npx skills add s0912758806p/agentic-sop-to-work --skill agentic-sop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install s0912758806p/agentic-sop-to-work agentic-sop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/s0912758806p/agentic-sop-to-work.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agentic-sop-kit/skills/agentic-sop .claude/skills/agentic-sop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agentic-sop
GitHub stars
209
Token cost
~863 tokens
SKILL.md length
208 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new agent-workflow project — even if the user never says…

  • Works in 5 steps: 節點:列出每個節點(=一個工具的一步)。 → 邊:每條邊取一個名字——「誰把什麼交給誰」。交接的是具名產物,不是「整包… → 狀態欄位與 owner:列出流程要共用的欄位,每個欄位指定唯一一個 writer… → …
  • Turning a human SOP
  • SKILL.md covers 何時用 / 不用, 開場:先判斷輸入型態(intake 分流), 核心模型(三段鏈,缺一不可) and 拆解完,先畫拓撲(動手接線之前), plus 3 more sections
  • Calls python3

What it does

Agentic Sop is an agent skill from s0912758806p/agentic-sop-to-work. Use when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new agent-workflow project — even if the user never says 'SOP' or 'methodology'. | 要把人工流程/SOP 自動化、建立或新增 agent 工具、或開一個新的 agent 工作流專案時使用;只要意圖是把流程工程化成自動代理就觸發。不適用:稽核既有工作流是否退化成 mega agent(改用 agentic-workflow-audit)。

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Operations and SOPs. It works with Python. The repository describes itself as: Turn human SOPs into deterministic, gated agentic workflows — a Claude Code plugin. The licence is MIT.

When your agent uses it

  • Turning a human SOP
  • Manual process into an agentic workflow
  • Adding an agent tool
  • Starting a new agent-workflow project — even if the user never says SOP

Example prompts

  • “methodology”
  • “/agentic-sop”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 節點:列出每個節點(=一個工具的一步)。
  2. 邊:每條邊取一個名字——「誰把什麼交給誰」。交接的是具名產物,不是「整包 context 丟過去」。
  3. 狀態欄位與 owner:列出流程要共用的欄位,每個欄位指定唯一一個 writer 節點;
  4. 退回邊:哪一步的判定會把工作退回上游?那條邊宣告 back:true + max_revisits:。
  5. 驗證:python3 workflow/run.py --plan 會把整張圖靜態判過(不可達節點、read-before-write、

What it can do on your machine

Read from SKILL.md and the folder at commit 246d966. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agentic Sop loads about 863 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 208 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~863

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from s0912758806p/agentic-sop-to-work at commit 246d966, republished under its MIT licence (© s0912758806p). 208 words, ~863 tokens.

Download SKILL.mdSave it as .claude/skills/agentic-sop/SKILL.md (or your agent's skills folder).
name
agentic-sop
description
Use when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new agent-workflow project — even if the user never says 'SOP' or 'methodology'. | 要把人工流程/SOP 自動化、建立或新增 agent 工具、或開一個新的 agent 工作流專案時使用;只要意圖是把流程工程化成自動代理就觸發。不適用:稽核既有工作流是否退化成 mega agent(改用 agentic-workflow-audit)。

Agentic SOP — 把人工流程做成可治理的 agent 工作流

何時用 / 不用

  • 用:要把人工 SOP/手動流程自動化、建新 agent 工具、設計「拆解+閘門」、或開新的 agent 工作流專案時。任何專案皆適用,尤其未來新項目。
  • 不用:稽核既有工作流是否退化成 mega agent → 用 agentic-workflow-audit;執行既有 GMP 產生器 → 用該工具自己的 skill。

開場:先判斷輸入型態(intake 分流)

觸發後第一件事——看使用者怎麼來,別急著動工:

  • 已有正式輸入(寫好的 spec/既有 requirement 或 runner skill/已填好的 templates/human_sop_template.md)→ 照原樣採用、不重寫,直接進下面的拆解。
  • 只有自然語言需求/任務 → 先用 templates/human_sop_template.md 起草一份 Human SOP:能由輸入得到的填上、未知的標【待補】(絕不臆造);草稿好 STOP 給人看一眼(「這樣有抓到你的流程嗎?改/確認」)→ 確認後才續入拆解。
  • 判不準 → 問一個澄清問題,別猜路。 草稿 SOP 也是 DRAFT(受「DRAFT+人核准」約束);本步只動生成層,不碰引擎/閘門。

核心模型(三段鏈,缺一不可)

Human SOP → 工具 Skill(SKILL.md) → Agentic Workflow(拓撲宣告 + 誠實閘門 + hook)。 中間的 Skill 環最易被忘:工具一改,SKILL.md 必須同次更新。每支工具實作同一條七階段迴圈: intake → 分類/前置檢查 → 確定性層(程式) → 生成層(Claude,只整理輸入) → 組裝 DRAFT → 閘門自評(≤2 次) → 覆核包 → 人核准 STOP。

拆解完,先畫拓撲(動手接線之前)

拆出節點之後、寫 flow.json 之前,先把圖講清楚——這一步只花幾分鐘,卻是後面所有閘門的地基:

  1. 節點:列出每個節點(=一個工具的一步)。 節點不是 agent:把工具換成模型的節點常被叫做 agent,但一 skill 一工具不變; 一個節點裡塞了整條流程就是 mega agent,名字叫什麼都一樣。
  2. 邊:每條邊取一個名字——「誰把什麼交給誰」。交接的是具名產物,不是「整包 context 丟過去」。 接著給它型別(schema_ref 指向 workflow/schemas/<tag>.json):邊沒有型別,交接協定就是假的。
  3. 狀態欄位與 owner:列出流程要共用的欄位,每個欄位指定唯一一個 writer 節點; 讀取方宣告 reads。值不另外存——留在該節點的 artifact 裡(written_by 就是 produced_by)。
  4. 退回邊:哪一步的判定會把工作退回上游?那條邊宣告 back:true + max_revisits:<N>。 沒有上界的環不准存在;退回的判定必須由確定性的欄位決定,不是由模型當場決定。
  5. 驗證:python3 workflow/run.py --plan 會把整張圖靜態判過(不可達節點、read-before-write、 寫入衝突、無界環、孤邊),不合法在跑之前就 exit 2;--graph 畫出來給人看。

五題有任一題答不出來,就是還沒拆完——別急著寫 flow.json。 若流程本來就是一條直線、也沒有退回,那就照直線做:以上宣告全是選擇性的,不宣告即維持線性行為。

落地:導入 agentic-sop-kit(不要重造)

方法論已封裝成可攜套件,直接導入、別重寫:

  1. 一鍵導入:python3 ~/.claude/agentic-sop-kit/bootstrap.py --project /path/to/project(複製 kit+裝 /sop-flow+合併 Stop-hook)。canonical 在 ~/.claude/agentic-sop-kit/。
  2. python3 agentic-sop-kit/check_deps.py 驗依賴;workflow/run.py 跑通範例。
  3. 用 templates/human_sop_template.md 寫 SOP(每步標工具);依拆解規則把每個「步驟×工具」用 templates/skill_template/ 建成 skills/<name>/。
  4. 依上一節的拓撲在 workflow/flow.json 接線(節點順序、schema_ref、reads/writes、退回邊); --plan 驗過再跑;裝 commands/ + hooks/。 詳見 kit 的 SOP.md(方法論 canonical)與 README.md(安裝);圖示範流程見 workflow/examples/graph.json。

跨專案鐵則(為什麼)

  • 事實只來自輸入,缺標【待補】,絕不臆造編號/日期/姓名/結論——臆造會在下游被當成事實,汙染整條鏈。
  • 確定性的事用程式、不用 LLM;硬閘門必須確定性、hermetic;LLM 自評一律 advisory 且封頂於確定性——否則模型替自己放水(弱閘門=假自主)。
  • DRAFT + 人核准 STOP;受控/高風險判定永遠人擁有。
  • 閘門查真相、不查形式:別用 token 重疊/關鍵字出現/grep 編號當硬閘門(可被字詞游戲化),要對權威來源核對。
  • 共享狀態必須有契約:每個欄位唯一 writer、讀之前所有路徑保證寫過、邊上產物有型別。 沒有這三樣的「大家共用一個 dict」就是黑板,會讓錯誤來源無法歸屬。
  • 環必須有界:退回邊一律宣告上界,且上界寫在程式裡而不是 prompt 裡; 進度用產物內容量測(沒變就是沒進度),不是數次數——雙終止,先到者停。

「保證遵守」來自 hook 與靜態閘門,不是這支 skill

本 skill 是提醒與指引(散文,機率性)。真正的強制力有兩處,都不在散文裡:

  • Stop-hook 自動回歸:更新後有變動才跑「受影響單元+整合」兩層,fail 就 decision:block 把原因餵回去修,附重試上限防迴圈。要讓某專案「真的被擋」,就把 kit 的 hooks/(SessionStart 依賴檢查 + Stop 回歸)裝上。
  • 靜態拓撲閘門:run.py --plan 對不合法的圖 exit 2(lib/graph.py),且執行期同樣拒跑—— 上面那些拓撲鐵則之所以是鐵則,是因為它們有這道確定性的閘門,不是因為這裡寫了。

© s0912758806p, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/agentic-sop-kit/skills/agentic-sop of s0912758806p/agentic-sop-to-work.

Open the folder on GitHubat commit 246d966

Compare with similar skills

Agentic Sop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agentic Sop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agentic Sop this skills0912758806p/agentic-sop-to-work209—~863Automated safety check: PassMIT
Process Mapperalirezarezvani/claude-skills28k—~2.2kAutomated safety check: PassMIT
Audit Swimlane Flowchart Generatornigo81/nigo-skills133—~2.1kAutomated safety check: PassMIT
Kingdee MCP DevWaHaiLong/KingdeeMCP105—~853Automated safety check: PassMIT
Knowledge Opsalirezarezvani/claude-skills28k—~4.1kAutomated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

Similar skills

  • Process Mapper

    alirezarezvani/claude-skills

    A skill your agent uses when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff…

    28k GitHub stars~2.2k tokensUpdated 1 mo ago
    Business, Finance & HRAuto-check passed
  • Chinese-language tool that turns a business process description into a swimlane flowchart for internal control and audit work, exported as .drawio, PNG, SVG or VSDX.

    133 GitHub stars~2.1k tokensUpdated 1 mo ago
    Business, Finance & HRAuto-check passed
  • Kingdee MCP Dev

    WaHaiLong/KingdeeMCP

    Knowledge base for the Kingdee MCP Dev Squad. An agent skill from WaHaiLong/KingdeeMCP.

    105 GitHub stars~853 tokensUpdated 2 mo ago
    Backend & APIsAuto-check passed
  • Knowledge Ops

    alirezarezvani/claude-skills

    A skill your agent uses when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding…

    28k GitHub stars~4.1k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed
  • Itr Wala

    karanb192/itr-wala

    File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.

    871 GitHub stars~3.6k tokensUpdated 6 days ago
    Business, Finance & HRAuto-check passed
  • Tushare Data

    zillionare/zillionare

    面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。

    321 GitHub starsUsed in 2 repos~2.3k tokens
    Business, Finance & HRAuto-check passed

More from s0912758806p/agentic-sop-to-work

All 11 skills in this repo
  • Agentic Workflow Audit

    s0912758806p/agentic-sop-to-work

    A skill your agent uses when reviewing or auditing an existing agent / LLM-pipeline architecture — e.g.

    209 GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed
  • Six Rung Ladder

    s0912758806p/agentic-sop-to-work

    A skill your agent uses when deciding whether to write a piece of code, add a dependency, or introduce an abstraction / module / config — the "should I build this at all?" filter, applied before…

    209 GitHub stars~563 tokensUpdated 1 mo ago
    Auto-check passed
  • Alcoa Guard

    s0912758806p/agentic-sop-to-work

    A skill your agent uses when checking a record / dataset / GMP document for ALCOA+ data integrity — attribution, contemporaneity (backdating), completeness, accuracy (recompute / in-spec)…

    209 GitHub stars~363 tokensUpdated 1 mo ago
    Auto-check passed
  • Compute

    s0912758806p/agentic-sop-to-work

    A skill your agent uses to compute summary statistics (count/sum/mean/min/max) from a readings artifact, preserving the upstream source trace.

    209 GitHub stars~209 tokensUpdated 1 mo ago
    Auto-check passed
  • Draft

    s0912758806p/agentic-sop-to-work

    A skill your agent uses to produce a first draft, or to revise one from an upstream verdict artifact's open-defect count, emitting a draft@1 artifact.

    209 GitHub stars~250 tokensUpdated 1 mo ago
    Auto-check passed
  • Extract

    s0912758806p/agentic-sop-to-work

    A skill your agent uses to extract numeric readings (key: value lines) from a plain-text input into a structured readings artifact with source-location trace.

    209 GitHub stars~229 tokensUpdated 1 mo ago
    Auto-check passed

Works with

Questions about Agentic Sop

What does Agentic Sop do?

A skill your agent uses when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new agent-workflow project — even if the user never says…. Agentic Sop is an agent skill from s0912758806p/agentic-sop-to-work. Use when turning a human SOP or manual process into an agentic workflow, building or adding an agent tool, or starting a new agent-workflow project — even if the user never says 'SOP' or 'methodology'.

When should I use Agentic Sop?

Agentic Sop fits situations like: turning a human SOP; manual process into an agentic workflow; adding an agent tool; starting a new agent-workflow project — even if the user never says SOP.

How do I install Agentic Sop in Claude Code?

Run `npx skills add s0912758806p/agentic-sop-to-work --skill agentic-sop -a claude-code`. Or copy the skill folder (plugins/agentic-sop-kit/skills/agentic-sop in s0912758806p/agentic-sop-to-work) into .claude/skills/agentic-sop in your project. Claude Code loads it when a task matches its description.

How do I install Agentic Sop in Codex?

Run `npx skills add s0912758806p/agentic-sop-to-work --skill agentic-sop -a codex`. Or copy the skill folder (plugins/agentic-sop-kit/skills/agentic-sop in s0912758806p/agentic-sop-to-work) into .agents/skills/agentic-sop in your project. Codex loads it when a task matches its description.

Can I use Agentic Sop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add s0912758806p/agentic-sop-to-work --skill agentic-sop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentic-sop, .gemini/skills/agentic-sop, .github/skills/agentic-sop and .opencode/skills/agentic-sop in your project.

What does Agentic Sop need to run?

Going by SKILL.md and its folder, Agentic Sop needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Agentic Sop access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agentic Sop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agentic Sop use?

Agentic Sop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentic Sop use?

About 863 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agentic Sop?

Skills that share tags, products or a category with Agentic Sop: Process Mapper (alirezarezvani/claude-skills, 28k stars), Audit Swimlane Flowchart Generator (nigo81/nigo-skills, 133 stars), Kingdee MCP Dev (WaHaiLong/KingdeeMCP, 105 stars) and Knowledge Ops (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentic Sop?

s0912758806p (a GitHub user) maintains it in s0912758806p/agentic-sop-to-work, which has 209 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 8, 2026.

Source: s0912758806p/agentic-sop-to-work on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.