| name | review-changes |
| description | Perform a structured code review using change detection and impact |
Review Changes
Perform a thorough, risk-aware code review using the knowledge graph.
Steps
- Run
detect_changes_tool to get risk-scored change analysis.
- Run
get_affected_flows_tool to find impacted execution paths.
- For each high-risk function, run
query_graph_tool with pattern="tests_for" to check test coverage.
- Run
get_impact_radius_tool to understand the blast radius.
- 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
- Start with
get_minimal_context_tool(task="<your task>") before other graph tools.
- 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.
- Read the implementation and its tests before changing code. The graph narrows scope; it does not replace the source.