review-changes
FeaturedPerform a structured code review using change detection and impact
Code & Development 31,800 stars
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Skill Content
## 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.
Details
- Author
- tirth8205
- Repository
- tirth8205/code-review-graph
- Created
- 7 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
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