Commit Impact Analysis

This skill analyzes code changes to predict:

• •Which tests are likely to fail
• •Security vulnerabilities introduced
• •Performance impacts
• •Risk score for the change

When to Use

• •User runs git push or git commit
• •User asks "what might this break?"
• •User creates or updates a PR
• •User asks about test coverage for changes

How It Works

1. •Extract the git diff using the helper script
2. •Identify changed files and affected components
3. •Query the Argus API for:
   • •Test impact graph (file → test mapping)
   • •Historical failure patterns
   • •Security scan results
4. •Generate predictions and recommendations

Implementation

Use the following Argus MCP tools:

1. •

   argus_what_to_test - Analyzes git diff to identify which tests are affected

   • •Input: { "diff": "<git diff output>", "files": ["file1.py", "file2.js"] }
   • •Returns: List of tests to run with priority and reasoning
2. •

   argus_risk_scores - Calculates risk score for the changes

   • •Input: { "commit": "<commit SHA or branch>" }
   • •Returns: Risk assessment with scores and deployment recommendation

The tools return:

• •Predicted test failures with confidence scores
• •Security vulnerabilities found
• •Risk assessment (low/medium/high)
• •Recommended actions

Output Format

Present findings as a structured report:

1. •🧪 Test Predictions (table with test name, failure probability, reason)
2. •🔒 Security Findings (severity, location, recommendation)
3. •📊 Risk Score with deployment recommendation
4. •💡 Suggested Actions