Agent skill

Pm Review

by Stanshy in Stanshy/AgentHub

PM reviews gate submission with 6-item checklist and recommendation

MITAuto-check passed

Install Pm Review

skills CLI
$ npx skills add Stanshy/AgentHub --skill pm-review -a claude-code

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

GitHub CLI
$ gh skill install Stanshy/AgentHub pm-review --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/Stanshy/AgentHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.knowledge/company/skill-templates/pm-review .claude/skills/pm-review && 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
pm-review
GitHub stars
202
Token cost
~259 tokens
SKILL.md length
109 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

PM reviews gate submission with 6-item checklist and recommendation

  • Works in 5 steps: 讀取當前 dev-plan → 讀取提案書 → 逐項執行 6 項 checklist → …
  • Tasks that involve Skill authoring
  • SKILL.md covers 使用方式, 參數, 6 項 Checklist and 執行步驟
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pm Review is an agent skill from Stanshy/AgentHub. PM reviews gate submission with 6-item checklist and recommendation

Its SKILL.md is about 260 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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.

When your agent uses it

  • Tasks that involve Skill authoring

Example prompts

  • “/pm-review”

Requirements

  • Pre-approved tools (allowed-tools): Read, Edit, Glob, Grep

Workflow steps

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

  1. 讀取當前 dev-plan
  2. 讀取提案書
  3. 逐項執行 6 項 checklist
  4. 產出 PM 建議(供老闆決策時參考,不直接寫入 Gate 紀錄)
  5. 整理摘要報告供老闆決策

What it can do on your machine

Read from SKILL.md and the folder at commit 5300820. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Edit
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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

Pm Review loads about 259 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 109 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~259

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 Stanshy/AgentHub at commit 5300820, republished under its MIT licence (© Stanshy). 109 words, ~259 tokens.

Download SKILL.mdSave it as .claude/skills/pm-review/SKILL.md (or your agent's skills folder).
name
pm-review
description
PM reviews gate submission with 6-item checklist and recommendation
allowed-tools
Read, Edit, Glob, Grep

PM Gate 審核

PM 審核 L1 提交的 Gate 回報,執行 6 項 checklist。

使用方式

/pm-review <gate-type>

參數

  • $0: Gate 類型(G2 / G3 / G4)

6 項 Checklist

#檢查項說明
1交付物完整性Gate 要求的所有交付物是否齊全
2數據正確性報告中的數字是否與實際一致
3驗收標準對照逐項比對提案書/計畫書的驗收標準
4流程合規阻斷規則是否遵守、前置 Gate 是否已通過
5計畫書紀錄開發計畫書第 10 節是否已填寫
6附帶問題過程中發現的問題是否已記錄

執行步驟

  1. 讀取當前 dev-plan: 使用 Glob tool 搜尋 proposal/sprint*-dev-plan.md,取最新的,用 Read tool 讀取完整內容。

  2. 讀取提案書: 使用 Glob tool 搜尋 proposal/sprint*-proposal.md,取最新的,用 Read tool 讀取完整內容。

  3. 逐項執行 6 項 checklist

  4. 產出 PM 建議(供老闆決策時參考,不直接寫入 Gate 紀錄):

    • 通過 — 建議老闆核准
    • 駁回 — 建議老闆退回
    • 附條件通過 — 建議老闆附條件核准
  5. 整理摘要報告供老闆決策

注意:PM 審核結果不直接寫入 dev-plan 第 10 節 Gate 紀錄。 Gate 紀錄由老闆決策後透過 /gate-record 寫入,格式必須遵守 gate-record skill 的規範: | G{N} | YYYY-MM-DD | ✅ 通過 / ❌ 駁回 / ⚠️ 附條件通過 | 審核意見 |

© Stanshy, 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 .knowledge/company/skill-templates/pm-review of Stanshy/AgentHub.

Open the folder on GitHubat commit 5300820

Compare with similar skills

Pm 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.

Pm Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pm Review this skillStanshy/AgentHub202—~259Automated safety check: PassMIT
Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0
Claude Code Skill Developer Guidediet103/claude-code-infrastructure-showcase10k11 repos~3.5kAutomated safety check: PassMIT
Nuwa Thinking-Style Skill Builderalchaincyf/nuwa-skill34k—~4.6kAutomated safety check: PassMIT
Darwin Skill Optimizeralchaincyf/darwin-skill6.2k1 repos~4.7kAutomated safety check: PassMIT
Claude Code Command Developmentanthropics/claude-plugins-official38k10 repos~4.8kAutomated safety check: PassApache-2.0

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Questions about Pm Review

What does Pm Review do?

PM reviews gate submission with 6-item checklist and recommendation. Pm Review is an agent skill from Stanshy/AgentHub.

When should I use Pm Review?

Pm Review fits situations like: tasks that involve Skill authoring.

How do I install Pm Review in Claude Code?

Run `npx skills add Stanshy/AgentHub --skill pm-review -a claude-code`. Or copy the skill folder (.knowledge/company/skill-templates/pm-review in Stanshy/AgentHub) into .claude/skills/pm-review in your project. Claude Code loads it when a task matches its description.

How do I install Pm Review in Codex?

Run `npx skills add Stanshy/AgentHub --skill pm-review -a codex`. Or copy the skill folder (.knowledge/company/skill-templates/pm-review in Stanshy/AgentHub) into .agents/skills/pm-review in your project. Codex loads it when a task matches its description.

Can I use Pm Review 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 Stanshy/AgentHub --skill pm-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/pm-review, .gemini/skills/pm-review, .github/skills/pm-review and .opencode/skills/pm-review in your project.

What does Pm Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Pm Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Edit, Glob, Grep.

Does Pm Review 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 Pm Review 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 Pm Review use?

Pm Review 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 Pm Review use?

About 259 tokens (SKILL.md is roughly 1k 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 Pm Review?

Skills that share tags, products or a category with Pm Review: Skill Creator (Azure/azqr, 796 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars), Nuwa Thinking-Style Skill Builder (alchaincyf/nuwa-skill, 34k stars) and Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pm Review?

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.