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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
cursor avatar

Check Agent Compatibility

cursor/plugins
4 installs2.1k stars
Summary

This runs a four-part compatibility check to tell you how well a repository works with AI coding agents. It spins up separate subagents to test the scanner score, whether an agent can actually boot the repo, whether it can verify a small change without spinning forever, and whether the docs match reality. You get back a single weighted score and a flat list of the top fixes that would actually help agent workflows. The scoring blends deterministic analysis with behavioral checks and explicitly avoids penalizing repos for noisy logs or rough error messages. Use it when you need to know if a codebase is agent-friendly or what friction points to fix first.

Install to Claude Code

npx -y skills add cursor/plugins --skill check-agent-compatibility --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Check agent compatibility

Trigger

Use when the user wants the full compatibility pass for a repo.

Workflow

  1. Launch compatibility-scan-review to run the CLI and capture the raw repository score and main issues.
  2. Launch startup-review to verify whether the repo can actually be booted by an agent.
  3. Launch validation-review to check whether an agent can verify a small change without an unnecessarily heavy loop.
  4. Launch docs-reliability-review to see whether the documented setup and run paths reliably match reality.
  5. Use one subagent per task. Do not collapse these checks into one agent prompt.
  6. Compute an internal workflow score as the rounded average of:
    • Startup Compatibility Score
    • Validation Loop Score
    • Docs Reliability Score
  7. Compute an Agent Compatibility Score as:
    • round((deterministic_score * 0.7) + (workflow_score * 0.3))
  8. Synthesize the results into one final response.

When scoring internally, use specific non-round workflow scores for the behavioral checks rather than coarse round buckets. If startup, validation, or docs mostly work, treat them as good-with-friction rather than defaulting to the mid-60s. Do not create a low workflow score just because logs are noisy or the error text is rough.

Output

Respond in markdown, but keep it minimal. Do not use fenced code blocks.

Show only one score, as a level-two heading: ## Agent Compatibility Score: N/100. Do not show how it was computed, including weights, formula, deterministic score, workflow score, per-check scores, or arithmetic, unless the user explicitly asks for a breakdown.

Then a flat, prioritized list labeled Top fixes with one issue per line, each line starting with - .

If the deterministic scanner cannot be run because of tool environment issues, say that separately and do not treat it as a repo defect or penalize the repo. Fold deterministic and behavioral findings into that one list instead of separate sections. Focus on the fixes that would most improve real agent workflows. Do not include a separate summary unless the user asks for more detail.

Example shape:

Agent Compatibility Score: 72/100

Top fixes

  • First issue
  • Second issue
  • Third issue
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Categories
DocumentationAI & Agent Building
First SeenJun 23, 2026
View on GitHub

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