agentsclimarketplace

Review pr

Skill demon24ru/code-review-graph/skills/review-pr

Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis.From its SKILL.md

Install
npx -y skills add demon24ru/code-review-graph --skill review-pr

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.4 KB, as published. Nobody here has run it

Review PR

Perform a comprehensive code review of a pull request or branch diff using the knowledge graph.

Token optimization: Before starting, call get_docs_section_tool(section_name="review-pr") for the optimized workflow. Never include full files unless explicitly asked.

Steps

  1. Identify the changes for the PR:

    • If a PR number or branch is provided, use git diff main...<branch> to get changed files
    • Otherwise auto-detect from the current branch vs main/master
  2. Update the graph by calling build_or_update_graph_tool(base="main") to ensure the graph reflects the current state.

  3. Get the full review context by calling get_review_context_tool(base="main"):

    • This uses main (or the specified base branch) as the diff base
    • Returns all changed files across all commits in the PR
    • On large PRs, call with summary_only=True first to gauge scope before loading full node arrays
  4. Analyze impact by calling get_impact_radius_tool(base="main"):

    • Review the blast radius across the entire PR
    • Identify high-risk areas (widely depended-upon code)
  5. Deep-dive each changed file:

    • Read the full source of files with significant changes
    • Use query_graph_tool(pattern="callers_of", target=<func>) for high-risk functions
    • Use query_graph_tool(pattern="tests_for", target=<func>) to verify test coverage
    • Check for breaking changes in public APIs
  6. Generate structured review output:

    ## PR Review: <title>
    
    ### Summary
    <1-3 sentence overview>
    
    ### Risk Assessment
    - **Overall risk**: Low / Medium / High
    - **Blast radius**: X files, Y functions impacted
    - **Test coverage**: N changed functions covered / M total
    
    ### File-by-File Review
    #### <file_path>
    - Changes: <description>
    - Impact: <who depends on this>
    - Issues: <bugs, style, concerns>
    
    ### Missing Tests
    - <function_name> in <file> - no test coverage found
    
    ### Recommendations
    1. <actionable suggestion>
    2. <actionable suggestion>
    

Tips

  • For large PRs, focus on the highest-impact files first (most dependents)
  • Use semantic_search_nodes_tool to find related code the PR might have missed
  • Check if renamed/moved functions have updated all callers

Keep looking

Skills are one crate of 626,474. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.