Reference
Last updated: 10 March 2026
/context-verify
Validate AI context file quality — signal-to-noise ratio, line budgets, stale paths, cross-file consistency, and context health scoring: $ARGUMENTS
Validate the quality and freshness of AI context files in the current project. Scores signal-to-noise ratio, checks line budgets, detects stale paths, verifies cross-file consistency, and flags MEMORY.md drift.
Behaviour
- Load the
context-verifyskill for the full verification framework and scoring rubric - Run all verification checks against existing context files
- Calculate and report the context health score
Arguments
- No arguments: Run full verification with interactive report
ci: Output machine-readable format for CI/CD pipelines (exit code 1 on failures)ci --min-score N: Fail if score falls below threshold N
Output
AI Context Health: 85/100 (B — Minor tuning needed)
Breakdown:
Line Budget: 25/25 ✓
Signal Quality: 20/25 (-3 AGENTS.md has file tree, -2 dependency listing)
Path Accuracy: 18/20 (-2 .cursorrules references src/old.ts)
Consistency: 15/15 ✓
Freshness: 7/15 (-2 MEMORY.md not promoted, -3 copilot-instructions.md stale, -3 .windsurfrules stale)
To reach grade A (90+): Remove file tree from AGENTS.md (+3), fix stale path (+2). Was this helpful?
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