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Perform a structured code review using change detection and impact

@tirth8205tirth8205@tirth8205
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code-review-graph
30k7 skills2 hooks1 MCP
Install
$ npx -y skills add tirth8205/code-review-graph --skill review-changes --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/review-changes

Context preview

The summary Claude sees to decide when to auto-load this skill.

Perform a structured code review using change detection and impact

SKILL.md

review-changes.SKILL.md
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_tool` to get risk-scored change analysis. 2. Run `get_affected_flows_tool` to find impacted execution paths. 3. For each high-risk function, run `query_graph_tool` with pattern="tests_for" to check test coverage. 4. Run `get_impact_radius_tool` 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.
Read it on GitHub ↗
Ships withcode-review-graph

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

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Python
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MIT
License
7d ago
Last commit
5mo ago
Created

Repo: tirth8205/code-review-graph

In this plugin
7 skills2 hooks1 MCP
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