Perform a structured code review using change detection and impact
Scanned 5/27/2026
Install via CLI
openskills install tirth8205/code-review-graph---
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
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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Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.