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review-changes

Review code changes using a knowledge graph, a map of code relationships, to assess risk and affected behavior. Organize findings by severity, identify missing tests, suggest fixes, and provide a merge recommendation.

OriginalShow the original description

Perform a structured code review using change detection and impact

See how to install

Good for

  • Prioritizing review findings by risk
  • Checking how changed functions affect other code
  • Identifying missing tests and proposing test cases
  • Assessing whether changes are ready to merge

Files included (1)

  • SKILL.md1.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Review Changes

Review a change set with risk scores and blast radius from the knowledge graph.

Steps

  1. Call detect_changes_tool for risk-scored changed functions, test gaps and affected flows.
  2. Call get_affected_flows_tool only when you need the steps of an affected flow.
  3. For each high-risk function, call query_graph_tool with pattern="tests_for" to check test coverage.
  4. Call get_impact_radius_tool when the blast radius is not clear from step 1.
  5. Suggest specific test cases for untested changes.

Output Format

Group findings by risk level (high, medium, low). For each finding give what changed and why it matters, its test coverage, and the suggested fix. End with a merge recommendation.

Token Efficiency Rules

  • Call get_minimal_context_tool(task="<your task>") before any other graph tool.
  • Pass detail_level="minimal" wherever a tool accepts it. Use "standard" only when minimal is not enough.
  • Prefer a targeted query_graph_tool call over a broad listing call.
  • Budget: about five tool calls and 800 tokens of graph output per task.
  • Read the implementation and its tests before changing code. The graph narrows scope; it does not replace the source.

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