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Agent skill

Review

by greenfield-inc in greenfield-inc/Pane

Review a PR against its linked issue, repository checks, correctness, architecture, and applicable conventions.

Custom licenceAuto-check passedDevelopment

Install Review

skills CLI
$ npx skills add greenfield-inc/Pane --skill review -a claude-code

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

GitHub CLI
$ gh skill install greenfield-inc/Pane 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/greenfield-inc/Pane.git skills-src && mkdir -p .claude/skills && cp -r skills-src/main/src/services/paneChatBundle/skills/review .claude/skills/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
review
GitHub stars
527
Token cost
~1.6k tokens
SKILL.md length
772 words
Files
2
Skills in repo
35
Repo updated
First seen
Licence
Custom licence

At a glance

Review a PR against its linked issue, repository checks, correctness, architecture, and applicable conventions.

  • Works in 5 steps: Gather Context → Run Quality Gates → Review the Diff → …
  • Tasks that involve Pull requests
  • SKILL.md covers Step 1: Gather Context, Step 2: Run Quality Gates, Step 3: Review the Diff and Step 4: Check Completeness…, plus 2 more sections
  • Calls gh, npm and cargo

What it does

Review is an agent skill from greenfield-inc/Pane. Review a PR against its linked issue, repository checks, correctness, architecture, and applicable conventions. Post structured findings as a PR review.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `CRITERIA.md`).

It sits in Development, covering Pull requests. The repository describes itself as: Terminal-first, open-source AI agent manager for any CLI agent (agent agnostic), any OS (mac, windows, linux). The Open-Source Agentic Development Environment for running…

When your agent uses it

  • Tasks that involve Pull requests

Example prompts

  • “/review”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather Context
  2. Run Quality Gates
  3. Review the Diff
  4. Check Completeness Against Issue
  5. Post the Review

What it can do on your machine

Read from SKILL.md and the folder at commit 0c471a3. 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:

    • gh
    • npm
    • cargo
    • sh

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

  • Network

    No URLs in SKILL.md. Its commands use gh and npm, which can reach the network depending on how they are called.

    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

Review loads about 1.6k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 772 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 772 words (~1,619 tokens).

“Review a pull request for correctness, architecture, and the project's conventions.”

— opening of SKILL.md by greenfield-inc, Custom licence
name
review
argument-hint
[PR number or URL]
disable-model-invocation
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in main/src/services/paneChatBundle/skills/review of greenfield-inc/Pane.

  • SKILL.md
  • CRITERIA.md

Open the folder on GitHubat commit 0c471a3

Compare with similar skills

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.

Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review this skillgreenfield-inc/Pane527—~1.6kAutomated safety check: PassCustom licence
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0
Cherry Studio PR ReviewCherryHQ/cherry-studio53k—~3.9kAutomated safety check: PassAGPL-3.0
Review Triage Phaseprisma/orm48k—~995Automated safety check: PassApache-2.0
Qiaomu Meta Skilljoeseesun/qiaomu-meta-skill383—~2.8kAutomated safety check: PassMIT
Deep Reviewdyad-sh/dyad22k—~1.4kAutomated safety check: PassCustom licence

Similar skills

  • GitHub Review Iteration

    prisma/orm

    Official

    Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.

    48k GitHub stars~2.2k tokensUpdated yesterday
    DevelopmentAuto-check passed

  • Cherry Studio PR Review

    CherryHQ/cherry-studio

    Reviews Cherry Studio branches, pull requests, commits, files and docs against the project's own architecture, naming, API-boundary and UI rules, report-only by default.

    53k GitHub stars~3.9k tokensUpdated today
    DevelopmentAuto-check passed

  • Review Triage Phase

    prisma/orm

    Official

    Runs the triage step of the review-framework loop: reads fetched PR review state, builds `review-actions.json`, validates it and renders `review-actions.md`.

    48k GitHub stars~995 tokensUpdated yesterday
    DevelopmentAuto-check passed

  • Qiaomu Meta Skill

    joeseesun/qiaomu-meta-skill

    Research, create, improve, migrate, evaluate, package, install-check, govern, and safely publish qiaomu-flavored agent skills from workflows, prompts, transcripts, docs, SOPs, runbooks, scripts, or…

    383 GitHub stars~2.8k tokensUpdated 2 mo ago
    DevelopmentAuto-check passed

  • Deep Review

    dyad-sh/dyad

    Deep multi-agent code review run locally — a fleet of parallel finder agents reviews the diff from independent angles, then adversarial verifier agents reproduce each finding before it is reported.

    22k GitHub stars~1.4k tokensUpdated yesterday
    DevelopmentAuto-check passed

  • PR Cycle

    jaemk/cached

    PR review-and-update cycle — the orchestrator that takes a PR from review to resolved.

    2.1k GitHub stars~4.8k tokensUpdated 9 days ago
    DevelopmentAuto-check: notes

More from greenfield-inc/Pane

All 35 skills in this repo

  • Page

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    House standard for any HTML page written for a person. An agent skill from greenfield-inc/Pane.

    529 GitHub stars~759 tokensUpdated today
    Auto-check passed

  • Session Trace

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    Publish an agent session as a readable trace page in Grain, with the story, key moments, every request and step on a timeline, subagents, and the pull requests it opened.

    529 GitHub stars~836 tokensUpdated today
    Auto-check passed

  • Discussion

    greenfield-inc/Pane

    Have an interactive discussion about a topic, approach, feature, or bug without making code changes.

    529 GitHub stars~666 tokensUpdated today
    Auto-check passed

  • Excalidraw PR Diagrams

    greenfield-inc/Pane

    Create Excalidraw diagram JSON files and PR visual overviews that make visual arguments.

    529 GitHub stars~9.4k tokensUpdated today
    Auto-check passed

  • HTML Explainer

    greenfield-inc/Pane

    The house standard for any skill that renders an HTML page for a person to read, covering design tokens, typography, components, diagrams, and quality gates so every generated page shares one calm…

    529 GitHub stars~1.6k tokensUpdated today
    Auto-check: notes

  • Pane Work

    greenfield-inc/Pane

    Answer questions about the user's own work in Pane, read-only.

    529 GitHub stars~1.8k tokensUpdated today
    Auto-check passed

Categories

Questions about Review

What does Review do?

Review a PR against its linked issue, repository checks, correctness, architecture, and applicable conventions. Review is an agent skill from greenfield-inc/Pane. Review a PR against its linked issue, repository checks, correctness, architecture, and applicable conventions.

When should I use Review?

Review fits situations like: tasks that involve Pull requests.

How do I install Review in Claude Code?

Run `npx skills add greenfield-inc/Pane --skill review -a claude-code`. Or copy the skill folder (main/src/services/paneChatBundle/skills/review in greenfield-inc/Pane) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.

How do I install Review in Codex?

Run `npx skills add greenfield-inc/Pane --skill review -a codex`. Or copy the skill folder (main/src/services/paneChatBundle/skills/review in greenfield-inc/Pane) into .agents/skills/review in your project. Codex loads it when a task matches its description.

Can I use 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 greenfield-inc/Pane --skill 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/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

Going by SKILL.md and its folder, Review needs the command-line tools its instructions call (gh, npm, cargo and sh).

Does Review access the network?

SKILL.md contains no URLs. Its commands use gh and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is 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 Review use?

Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Review use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Review?

Skills that share tags, products or a category with Review: GitHub Review Iteration (prisma/orm, 48k stars), Cherry Studio PR Review (CherryHQ/cherry-studio, 53k stars), Review Triage Phase (prisma/orm, 48k stars) and Qiaomu Meta Skill (joeseesun/qiaomu-meta-skill, 383 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

greenfield-inc (a GitHub organization) maintains it in greenfield-inc/Pane, which has 527 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 10, 2026.

Source: greenfield-inc/Pane on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.