review-pr

review-pr is a skill for Claude Code from tirth8205/code-review-graph. It costs 27 tokens per session (440 once invoked), scanned A, original, MIT.

A code-review guide for examining a pull request or branch difference with full structural context. A pull request is a proposed set of changes for others to review before merging.

In plain words
What is it for?
It is for reviewing all changes in a pull request or branch, measuring their impact, examining important files and functions, identifying high-risk areas, and producing a structured review.
Why use it?
It shows not only what changed but also the wider code that may be affected, helping reviewers find risks across the whole proposal.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit It is for reviewing all changes in a pull request or branch, measuring their impact, examining important files and functions, identifying high-risk areas, and producing a structured review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tirth8205/code-review-graph/review-pr
About the project

code-review-graph is a local-first code intelligence graph that builds a persistent structural map of a codebase and supplies relevant context to AI coding tools through MCP and a CLI. It is used for code review and large-repository workflows, with catalogue add-ons providing integrations and instructions for operating it.

tirth8205/code-review-graph · 32,285 stars · on GitHub · code-review-graph.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add tirth8205/code-review-graph --skill review-pr
Clone the repo
git clone --depth 1 https://github.com/tirth8205/code-review-graph

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for review-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/tirth8205/code-review-graph/review-pr/github.svg)](https://agentmods.dev/skills/tirth8205/code-review-graph/review-pr)
Your own site
<a href="https://agentmods.dev/skills/tirth8205/code-review-graph/review-pr"><img src="https://agentmods.dev/badge/skills/tirth8205/code-review-graph/review-pr/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/tirth8205/code-review-graph/review-pr"><img src="https://agentmods.dev/badge/skills/tirth8205/code-review-graph/review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 440 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 16 Sept 2026
  • Snyk pass 16 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00440
Opus 5.5 $0.00011 $0.00176
Sonnet 5.5 $0.00005 $0.00088
Haiku 4.5 $0.00003 $0.00044

Measured 1mo ago against content hash c7e47dc757db, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-pr scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/review-pr/SKILL.md · 49 lines

What it actually says

Review PR

Review all commits of a pull request or branch against its base branch.

Steps

  1. Identify the changes. With a branch name run git diff --name-only main...<branch>; otherwise diff the current branch against main (or master). Use that ref as base below.
  2. Call get_minimal_context_tool(task="review PR", base="main"). If it returns status: not_ready, call build_or_update_graph_tool() and continue.
  3. Call detect_changes_tool(base="main", detail_level="minimal") for risk-scored changed functions, test gaps and affected flows across the whole branch.
  4. For high-risk functions call query_graph_tool(pattern="callers_of", target="<function>") and query_graph_tool(pattern="tests_for", target="<function>"). Flag public API changes whose callers were not updated.
  5. Call get_review_context_tool(base="main") for source snippets, or get_impact_radius_tool(base="main") for the full dependent list, only when step 3 leaves a high-risk item unclear.
  6. Read the changed source of the highest-impact files first. Do not load whole files unless the change needs it.

Output

## PR Review: <title>

### Summary
<1-3 sentences>

### Risk
- Overall: Low / Medium / High
- Blast radius: <n> files, <m> functions
- Test coverage: <covered> of <changed> changed functions

### Files
#### <path>
- Changes: <what>
- Impact: <who depends on it>
- Issues: <bugs, style, concerns>

### Missing Tests
- <function> in <file>

### Recommendations
1. <action>

Tips

  • Use semantic_search_nodes_tool to find related code the PR may have missed.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · -18 lines c7e47dc757db
  2. 1mo ago First seen · 67 lines · 27 tokens per session scan A d48249a140cc

Subscribe to this mod's changes

review-pr is a skill published in the GitHub repository tirth8205/code-review-graph (32,285 stars, last pushed 4d ago), licensed MIT. It adds 27 tokens to every session and 440 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

go-testing

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Gentleman-Programming/gentle-ai · 26 tokens

find-simplifications

Use for a periodic repo-wide sweep of qwen-code for accumulated excess surface — dead components and files, orphaned locale keys, exports nothing consumes, added-then-removed scaffolding — filing candidates on a tracking issue and landing only what a maintainer has said yes to. Repo-wide and evidence-first; every…

QwenLM/qwen-code · 103 tokens

cross-model-review

A second-opinion code review that asks a different AI model to independently inspect a change, then compares both reviews. It focuses on logic, security, consistency, and omissions.

hashgraph-online/awesome-codex-plugins · 56 tokens

gitnexus

A code-graph analysis add-on for examining an existing codebase, including symbols, call paths, execution flows, and effects across repositories. It can query GitNexus through its command-line or MCP interfaces.

hashgraph-online/awesome-codex-plugins · 58 tokens

swarm-pr-review

Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive…

ZaxbyHub/opencode-swarm · 91 tokens

pre-landing-review

Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues. Use when explicitly asked for the specialized pre-landing workflow. Product /review requests are handled by OpenBitFun's unified Review mechanism instead.…

GCWing/BitFun · 75 tokens