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sscodeaisscodeai/agency-agents-ja/.claude/skills/review-changes/skill.md

Review Changes

Skill10 starsChanged 6 months agoMITView on GitHub

Perform a structured code review using change detection and impact

3 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

  • Other versions3 projects use a version of this.

    Word for word · 1

    1. nilsteampassnet/TeamPass★ 1.9k100% same

    Edited · 2

    1. microsoft/Microsoft365DSC★ 2.5k100% same
    2. theexperiencecompany/gaia★ 325100% same

    Wrote their own version · 0

    None found.

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository4 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 0 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run detect_changes to get risk-scored change analysis.

    line 12
  2. Very specific:

    Run get_affected_flows to find impacted execution paths.

    line 13
  3. Very specific:

    Run get_impact_radius to understand the blast radius.

    line 15
  4. Very specific:

    ALWAYS start with get_minimal_context(task="<your task>") before any other graph tool.

    line 27
  5. Very specific:

    Use detail_level="minimal" on all calls.

    line 28

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
skill.md

Review Changes

Perform a thorough, risk-aware code review using the knowledge graph.

Steps

  1. Run detect_changes to get risk-scored change analysis.
  2. Run get_affected_flows to find impacted execution paths.
  3. For each high-risk function, run query_graph with pattern="tests_for" to check test coverage.
  4. Run get_impact_radius to understand the blast radius.
  5. For any untested changes, suggest specific test cases.

Output Format

Provide findings grouped by risk level (high/medium/low) with:

  • What changed and why it matters
  • Test coverage status
  • Suggested improvements
  • Overall merge recommendation

Token Efficiency Rules

  • ALWAYS start with get_minimal_context(task="<your task>") before any other graph tool.
  • Use detail_level="minimal" on all calls. Only escalate to "standard" when minimal is insufficient.
  • Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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