Browser-local guardrail checklist

Find the safety rules your AI agent prompt forgot.

Paste your AI instructions. CrewScore checks them against 23 public guardrail controls in your browser — no prompt upload, signup, API key, or model call.

Runs locally23 public controlsOpen sourceNo API key

Written-control coverage, not runtime proof. It checks whether guardrails are written down — not whether an agent follows them.

What are you checking?

I use

Pick where your AI instructions live — or paste them below.

Paste ChatGPT custom instructions, a Claude Project prompt, a support-bot prompt, or another system prompt.

Scoring happens locally.

Your result will appear here

Start with a demo or paste instructions. CrewScore will show written controls it detected and suggested controls to review.

How it works

Paste instructions, find missing written guardrails, then improve the wording or add a recurring repository check.

Open rules

Every control, regex, and ruleset version is public. Developer mode shows exact matches and IDs.

Read the scoring catalog

Keep controls from regressing

Use the CLI or Action to protect specific written controls and generate prompt-free SARIF findings.

Set up CI policies

Methodology

Coverage helps identify omitted written controls. It is not a quality ranking, a certification, or a runtime test.

Read validation and limitations

Questions, answered plainly

Does CrewScore upload my instructions?

No. Scoring happens locally; prompt text never leaves this browser.

Does a high result prove an agent is safe?

No. It means public text patterns for written controls were detected. Runtime enforcement and testing remain separate.

Can I make this a recurring check?

Yes. Use the open-source CLI or GitHub Action to require particular controls, protect a prompt-free baseline, and emit SARIF.

Where to find AI instructions

ChatGPT: Settings → Personalization → Custom Instructions. Copy the custom instructions text.

Claude: open a Project → Project instructions (or Claude.ai custom instructions). Copy the instruction text.

Cursor: open AGENTS.md, .cursorrules, or project rules in the repo root. Coding-agent files are scored for config smells, not a governance grade.

Teams or apps: look for a system prompt, assistant setup, or AI instructions field. Copy only text you are allowed to inspect.