Inspect → improve → verify
AI instructions that keep up with your code.
Inspect repository context, identify gaps, and prepare CLAUDE.md and AGENTS.md files grounded in your actual stack and conventions.
Scan a public repoWhat is repository context?
Repository context is the set of instructions, conventions and project facts an AI coding tool uses while working on your code. It becomes less useful when files, commands or architecture change without the instructions changing too.
Start with evidence from your repository
PrompterJack detects frameworks, conventions and existing AI setup files, then surfaces context and configuration findings. A public preview gives you a limited first look; signed-in analysis adds a saved profile and generated setup files.
Review a proposed improvement
Use the analysis to prepare CLAUDE.md, AGENTS.md and supporting configuration. Check the proposed instructions against your code and keep intentional, hand-written guidance. A health score is a prioritization aid, not a guarantee that an AI tool will follow every instruction.
Verify after a change
Run your project checks, inspect the diff, then rescan. GitHub-connected Pro workflows add checks, monitoring and reviewable setup PRs. Confirm plan eligibility and repository permissions before enabling a workflow.
Questions, answered
Can I scan without an account?
Yes. Public GitHub repositories have an anonymous preview, subject to usage and size limits. Saved analyses and private-repository workflows require sign-in.
Does a high health score prove my repository is secure?
No. It summarizes the rules and evidence covered by the analysis. It does not replace tests, code review, threat modelling or a security assessment.