gh-pr-review

STRONG · 80
Registry indexed

Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle

Verified installs0
Stars50.8K
Version1.0.0
Quality93/100 · Excellent
Trust80/100 · Review then install
Audit90/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add CherryHQ/cherry-studio --skill gh-pr-review

Maintenance

fresh

2d since push

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

51K

93/100 Quality · 85/100 Trust

Coverage tags

CodingGitHub automationresearchagent-skill

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
93

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
80

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Needs review
90

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Use as the primary candidate after human or sandbox review.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

51K GitHub stars

Repo activity

51K stars, 4.8K forks

Maintenance

2d since push

License

AGPL-3.0

Install

npx skills add CherryHQ/cherry-studio --skill gh-pr-review

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Low metadata risk

  • Financial research output is not financial advice; require human review before any live investment decision.

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add CherryHQ/cherry-studio --skill gh-pr-review
Policy
review
Human review
yes

Trust and risk

Trust
80/100
Audit
90/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add CherryHQ/cherry-studio --skill gh-pr-review

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.

Agent safety v2

74/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Financial research output is not financial advice; require human review before any live investment decision

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install cherryhq-gh-pr-review

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use gh-pr-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20gh-pr-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cherryhq-gh-pr-review/install
Install command: npx skills add CherryHQ/cherry-studio --skill gh-pr-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use gh-pr-review for this task. Review https://www.openagentskill.com/api/skills/cherryhq-gh-pr-review/install, then install with: npx skills add CherryHQ/cherry-studio --skill gh-pr-review

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

100/100

GitHub automation

Platforms

Claude Code

Audit report

Needs review · 90/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

GitHub automation

Trust label

Production-ready

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 50,830 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 93/100 quality profile
  • 8 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

80
OpenAgentSkill Trust Score

GitHub adoption

PASS

51K GitHub stars

Stars/forks activity

PASS

51K stars, 4.8K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

AGPL-3.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Financial research output is not financial advice; require human review before any live investment decision.
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

93
GitHub stars
51K
Freshness
2d ago
Install ready
Yes
License
AGPL-3.0

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: gh-pr-review description: Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for code or documentation reviews that need project-specific naming, main/renderer/shared placement and dependency rules, IpcApi and DataApi boundaries, lifecycle/service ownership, renderer hooks, React/UI conventions, and tests. Supports single-agent review with interactive fix selection or multi-agent reviewer-verifier review with risk-based auto-fix. To diagnose gaps in the skill after a review session, run `/gh-pr-review diag`. ---

<!-- Based on https://github.com/Tencent/tgfx/tree/main/.codebuddy/skills/cr --> <!-- Adapted for agent runtimes and the Cherry Studio tech stack -->

# /gh-pr-review — Code Review

Automated code review for local branches, PRs, commits, and files. Detects review mode from arguments and routes to the appropriate review flow — either quick single-agent review with interactive fix selection, or multi-agent deep review with risk-based auto-fix.

Cherry Studio-specific review rules live in `references/cherry-review-guidance.md`. Target review flows must load that file for code, mixed, architecture-doc, and project-skill reviews so reviewers can apply DataApi, service-boundary, renderer hook, React, UI, and type-contract checks without relying on memory. That reference also defines which internal docs, internal skills, external skills, and official websites to consult for each changed area; load only the relevant subset.

All user-facing text matches the user's language. Use the runtime's interactive dialog tool for questions and option selection when one is available; otherwise ask one concise plain-text question and wait for the reply. Do not invent a tool or syntax the runtime does not expose. For interactive multi-select: ≤4 items → one question. >4 items → group by priority or category (each group ≤4 options), then present all groups in one prompt.

## Route

Run pre-checks, then match the **first** applicable rule top-to-bottom:

1. `git branch --show-current` → record whether on main/master. 2. `git status --porcelain` → record whether uncommitted changes exist. 3. Check whether the current environment supports parallel subagents (agent teams), using the runtime-provided coordination tools.

| # | Condition | Action | |---|-----------|--------| | 1 | `$ARGUMENTS` is `diag` | → `references/diagnosis.md` | | 2 | `$ARGUMENTS` is a PR number or URL containing `/pull/` | → `references/pr-review.md` | | 3 | Agent teams NOT supported | → `references/local-review.md` | | 4 | Uncommitted changes exist | → `references/local-review.md` | | 5 | On main/master branch | → `references/local-review.md` | | 6 | Everything else | → Question below |

Each `→` means: `Read` the target file and follow it as the sole remaining instruction. Ignore all sections below. Do NOT review from memory or habit — each target file defines specific constraints on how to obtain diffs, apply fixes, and submit results.

> **Priority rule**: user intent (Rule 1, 2, 6) takes priority over working-tree > state (Rule 3, 4, 5). A PR URL or PR number always goes to > `references/pr-review.md` even when the working tree is dirty or the > current branch is `main`/`master` — those state conditions only apply when > the user did not specify a review target.

---

## Question

Ask a **single question**: "Agent Teams is available (multiple agents working in parallel). Enable multi-agent review with reviewer–verifier adversarial mechanism and auto-fix?" Provide 4 options:

| Option | Description | |--------|-------------| | Teams + auto-fix low & medium risk (recommended) | Multi-agent review; auto-fix most issues, only confirm high-risk ones (e.g., API changes, architecture). | | Teams + auto-fix low risk | Multi-agent review; auto-fix only the safest issues (e.g., null checks, typos, naming). Confirm everything else. | | Teams + auto-fix all | Multi-agent review; auto-fix everything. Only issues affecting test baselines are deferred. | | Single-agent + manual fix | Single-agent review; interactively choose which issues to fix afterward. |

### Hand off

| Option | → | FIX_MODE | |--------|---|----------| | Teams + auto-fix low & medium risk (recommended) | `references/teams-review.md` | low_medium | | Teams + auto-fix low risk | `references/teams-review.md` | low | | Teams + auto-fix all | `references/teams-review.md` | full | | Single-agent + manual fix | `references/local-review.md` | — |

Pass `$ARGUMENTS` to the target file. For teams-review, also pass `FIX_MODE` (low / low_medium / full).

Technical details

Version
1.0.0
License
AGPL-3.0
Last updated
Aug 20, 2026
Published
Aug 20, 2026

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

50,830 GitHub stars

Audit

Install review

Install and adoption review

90
Needs review
Security
86/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for gh-pr-review, ready for a manual X post.

Curator note
A practical pick for source-backed research:

gh-pr-review: Automated Cherry Studio review for local branches, PRs, commits, files, architecture docs, and repository skills. Use for c...

50.8K stars

https://www.openagentskill.com/skills/cherryhq-gh-pr-review?ref=x
Open X draft
Optional reply with install command
Listing + install path for gh-pr-review:
https://www.openagentskill.com/skills/cherryhq-gh-pr-review?ref=x

Install: npx skills add CherryHQ/cherry-studio --skill gh-pr-review

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
CherryHQ
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to CherryHQ but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/cherryhq-gh-pr-review?metric=listed&label=Listed)](https://www.openagentskill.com/skills/cherryhq-gh-pr-review)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/cherryhq-gh-pr-review?metric=trust&label=Trust)](https://www.openagentskill.com/skills/cherryhq-gh-pr-review)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/cherryhq-gh-pr-review?metric=audit&label=Audit)](https://www.openagentskill.com/skills/cherryhq-gh-pr-review/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/cherryhq-gh-pr-review?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/cherryhq-gh-pr-review)

Author

C

CherryHQ

@cherryhq

Platform fit

Health signals

GitHub stars
50.8K
Quality score
56/100
Last GitHub push
Aug 20, 2026
Framework hints
Unknown
OpenAgentSkill views
8
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Review then install

80
  • GitHub adoption51K GitHub starsPASS
  • Stars/forks activity51K stars, 4.8K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2d since pushPASS
  • License clarityAGPL-3.0PASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime risknetwork or browser surfacePASS