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)…
L1 Code Review SOP — 強制規範對照 + 審核決策,不得跳過任何 checkpoint. An agent skill from Stanshy/AgentHub.
$ npx skills add Stanshy/AgentHub --skill sop-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Stanshy/AgentHub sop-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.knowledge/company/skill-templates/sop-review .claude/skills/sop-review && rm -rf skills-srcUse ~/.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/
Install the "sop-review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/sop-review into .claude/skills/sop-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sop-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/sop-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Stanshy/AgentHub --skill sop-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Stanshy/AgentHub sop-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.knowledge/company/skill-templates/sop-review .agents/skills/sop-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sop-review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/sop-review into .agents/skills/sop-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sop-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Stanshy/AgentHub --skill sop-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Stanshy/AgentHub sop-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.knowledge/company/skill-templates/sop-review .cursor/skills/sop-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sop-review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/sop-review into .cursor/skills/sop-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sop-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Stanshy/AgentHub.git --path .knowledge/company/skill-templates/sop-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Stanshy/AgentHub --skill sop-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Stanshy/AgentHub sop-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.knowledge/company/skill-templates/sop-review .gemini/skills/sop-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sop-review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/sop-review into .gemini/skills/sop-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sop-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Stanshy/AgentHub sop-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Stanshy/AgentHub --skill sop-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.knowledge/company/skill-templates/sop-review .github/skills/sop-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sop-review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/sop-review into .github/skills/sop-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sop-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Stanshy/AgentHub --skill sop-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Stanshy/AgentHub sop-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.knowledge/company/skill-templates/sop-review .opencode/skills/sop-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sop-review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/sop-review into .opencode/skills/sop-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sop-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
sop-reviewL1 Code Review SOP — 強制規範對照 + 審核決策,不得跳過任何 checkpoint. An agent skill from Stanshy/AgentHub.
Sop Review is an agent skill from Stanshy/AgentHub. L1 Code Review SOP — 強制規範對照 + 審核決策,不得跳過任何 checkpoint
Its SKILL.md is about 520 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. The repository describes itself as: One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5300820. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobGrepBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sop Review loads about 522 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 135 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Glob, Grep, BashAutomated 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.
The full file from Stanshy/AgentHub at commit 5300820, republished under its MIT licence (© Stanshy). 135 words, ~522 tokens.
.claude/skills/sop-review/SKILL.md (or your agent's skills folder).L1 審核任務時,必須依序完成以下所有步驟,不得跳過任何 ⛔ CHECKPOINT。
/sop-review <task-id>$0: 任務 ID(如 T3)找到任務檔案:使用 Glob tool 搜尋 .tasks/**/$0-*.md,若無結果再搜尋 .tasks/**/$0.md,用 Read tool 讀取。
確認並記錄:
✋ 確認任務內容清楚後再繼續。
必讀:
.knowledge/coding-standards.md(或 .knowledge/company/standards/coding-standards.md)依任務類型額外讀取:
| 任務類型 | 必讀規範 |
|---|---|
| 後端 / API | .knowledge/specs/api-design.md + .knowledge/specs/data-model.md |
| 前端 / UI | .knowledge/specs/feature-spec.md |
| 全端 | 以上全部 |
輸出:
📋 審查規範載入完成
- coding-standards ✅
- [對應規範] ✅
審查重點(從規範中提取):
- [與本任務相關的規範條目]✋ 確認規範已讀、審查重點已列出後再繼續。
讀取任務檔的 | 並行組 | 欄位:
若並行任務(並行組 = A/B/C...):
git checkout task/s{N}-$0-{slug}
git merge sprint-{N}git diff sprint-{N}...task/s{N}-$0-{slug}📂 本次變更範圍(並行任務)
異動檔案:[列出]
新增行數:N | 刪除行數:N若循序任務(並行組 = —):
git show HEAD輸出:
📂 本次變更範圍(循序任務,最新 commit)
Commit:{hash} {message}
異動檔案:[列出]以此 diff / show 結果作為 STEP 3 Review 的主要審查依據。
✋ 確認已取得變更範圍後再繼續。
執行 /review(讀取 .claude/commands/review.md 並依步驟執行)
Review 必須逐項對照:
- [x] 是否確實完成✋ Review 報告完成後再繼續。
通過 — 所有驗收標準與規範均符合:
→ 執行 /task-approve $0 {備註}(讀取 .claude/commands/task-approve.md)
退回 — 有不符合項目:
→ 執行 /task-status $0 rejected {具體說明哪些項目不通過、需要修改什麼}
→ 通知 L2 重新執行 /sop-execute $0
✋ 決策必須明確,不得含糊帶過。
[✅ 通過 / ❌ 退回] $0 審核完成
審核結果:[通過 / 退回]
驗收標準對照:[全部通過 / {列出未通過項目}]
規範對照:[符合 / {列出違規項目}]
備註:{說明}
[若通過] 下一步:PM 執行 /pm-review
[若退回] 下一步:L2 修正後重新執行 /sop-execute $0© Stanshy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .knowledge/company/skill-templates/sop-review of Stanshy/AgentHub.
Open the folder on GitHubat commit 5300820
Sop Review 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sop Review this skillStanshy/AgentHub | 202 | — | ~522 | Automated safety check: Notes | MIT | |
| Alcoa Guards0912758806p/agentic-sop-to-work | 209 | — | ~363 | Automated safety check: Pass | MIT | |
| Cc Sdd New Agentgotalab/cc-sdd | 3.7k | — | ~1.1k | Automated safety check: Pass | MIT | |
| DBS Business Toolkit Entrydontbesilent2025/dbskill | 11k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Agent Sop Authorstrands-agents/agent-sop | 1.2k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Diffusion Narrative Denouncingcanwhite/Krebs | 1k | — | ~831 | Automated safety check: Pass | MIT |
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)…
gotalab/cc-sdd
Add or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end.
dontbesilent2025/dbskill
Chinese-language entry skill for the dontbesilent business toolkit: onboards new users, orchestrates tasks across sub-skills, runs numbered prompts and lists hidden ones.
strands-agents/agent-sop
Create (or update) and validate Agent SOPs (Standard Operating Procedures) - markdown-based workflows that guide AI agents through complex, multi-step tasks with RFC 2119 constraints.
canwhite/Krebs
基于"扩散模型叙事去噪流"的小说写作 SOP。将 AI 视为去杂质机器,通过锁定全局信号、预测叙事噪声、精准去噪、随机修正四个步骤,解决 AI 翻译腔、逻辑断层和故事平淡的问题。
simonlin1212/Vibe-Research
A 股 / 港股 / 美股个股研究六阶段 SOP(profile → financials → estimates → valuation → risk → report),Phase 0 范围 = 财务估值闭环。当任务是研究 / 分析 / 评估一只或多只已指定代码的个股时使用(港股 / 美股的口径差异见 §7);规定每阶段取哪些数据、调哪些 calc 函数、必须落盘什么产物、过什么…
Stanshy/AgentHub
Generate a development plan with task breakdown and section 10 tracking tables
Stanshy/AgentHub
Scan child projects for pitfalls and propose company standard updates
Stanshy/AgentHub
Six-question diagnostic framework for G0 pre-check — validate product direction before development starts
Stanshy/AgentHub
Initialize new project with CLAUDE.md, .knowledge/ structure, company rules, and git
Stanshy/AgentHub
L1 internal review with auto-detection, design comparison, and Gate escalation path
Stanshy/AgentHub
L1 計畫模式 SOP — 強制上下文載入 + Plan Mode 評估 + 任務拆解. An agent skill from Stanshy/AgentHub.
Categories
L1 Code Review SOP — 強制規範對照 + 審核決策,不得跳過任何 checkpoint. An agent skill from Stanshy/AgentHub. Sop Review is an agent skill from Stanshy/AgentHub.
Sop Review fits situations like: tasks that involve Operations and SOPs.
Run `npx skills add Stanshy/AgentHub --skill sop-review -a claude-code`. Or copy the skill folder (.knowledge/company/skill-templates/sop-review in Stanshy/AgentHub) into .claude/skills/sop-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Stanshy/AgentHub --skill sop-review -a codex`. Or copy the skill folder (.knowledge/company/skill-templates/sop-review in Stanshy/AgentHub) into .agents/skills/sop-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Stanshy/AgentHub --skill sop-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sop-review, .gemini/skills/sop-review, .github/skills/sop-review and .opencode/skills/sop-review in your project.
Going by SKILL.md and its folder, Sop Review needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: Read, Glob, Grep, Bash.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Sop Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 522 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Sop Review: Alcoa Guard (s0912758806p/agentic-sop-to-work, 209 stars), Cc Sdd New Agent (gotalab/cc-sdd, 3.7k stars), DBS Business Toolkit Entry (dontbesilent2025/dbskill, 11k stars) and Agent Sop Author (strands-agents/agent-sop, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Stanshy (a GitHub user) maintains it in Stanshy/AgentHub, which has 202 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on April 9, 2026.
Source: Stanshy/AgentHub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.