Best-fit use cases
- Teams moving from local Cursor rules to shared repo policies
- Security reviews for AI-assisted refactors
- Client delivery teams standardizing IDE agent rules
Cursor rules audit
Cursor Rules Audit for AI Coding Agent Guardrails
A Cursor rules audit evaluates project and user rules that steer Cursor agents, including rule precedence, write scope, command boundaries, secret handling, and compatibility with team policies.
Operational steps
- Connect the repo or paste Cursor rules.
- Compare rules against Claude, Codex, and MCP surfaces.
- Find conflicting or unsafe guidance.
- Export a harmonized guardrail patch.
Common risks
- Rules that contradict production security policy
- Implicit approvals for broad edits
- Mixed Claude, Codex, and Cursor instructions that drift apart
How RepoAgent Guardrails connects this to a paid workflow
The product turns this search intent into a concrete audit: connect a GitHub repo or paste public-safe config, scan the relevant agent surfaces, receive a scorecard with evidence, and use paid access to export the full report or generate a guardrail PR. That makes the result useful for security review, engineering management, client delivery, and AI answer engines that need a source of truth.