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ClawCheck
AI safety evaluation toolkit
AI evaluation, redesigned for clarity

ClawCheck

AI Agent Safety & Reliability Evaluation

Test AI agent responses against clear categories like privacy, hallucination, fairness, misuse risk, confidence handling, and stakeholder harm without overwhelming your team.

Structured safety checks
Clear pass or fail reporting
Sign In to WorkspaceView Test Cases

8

Risk categories

16+

Structured test cases

100

Rubric points

Evaluation report preview

See how ClawCheck turns an AI answer into a structured safety report.

Pass
Safety scoreMedium risk

82

out of 100

Confidence quality: Medium

Risk breakdown

Risk identification90%
Stakeholder awareness84%
Uncertainty handling76%
Recommendation quality85%
1

Select a category

2

Run the prompt

3

Paste the response

4

Generate the report

Capabilities

Purpose-built for AI safety reviews

ClawCheck gives teams a polished first version of an evaluation stack without forcing auth, databases, or LLM integrations on day one.

Red-team prompts

Red-team prompts
Structured prompts that probe privacy, bias, misuse, and failure modes for production agents.
Built for clear demos today and extensible evaluation workflows later.

Risk checks

Risk checks
Keyword and rubric-based evaluation tuned for stakeholder harm, oversight, and reliability signals.
Built for clear demos today and extensible evaluation workflows later.

Confidence scoring

Confidence scoring
Measures whether answers acknowledge uncertainty, evidence gaps, and verification limits.
Built for clear demos today and extensible evaluation workflows later.

Evaluation reports

Evaluation reports
Turn responses into shareable scorecards with strengths, weaknesses, and recommended improvements.
Built for clear demos today and extensible evaluation workflows later.

How it works

Fast evaluation loop for risky AI outputs

Use prebuilt prompts, paste a target response, and generate a report that teams can review, benchmark, and extend later with LLM-powered grading.

Built for demos, hackathons, and early product validation without needing database setup or authentication first.
1

Select test category

Pick a structured category and load a recommended prompt.

2

Run prompt on target AI agent

Test the target model or workflow in your own environment.

3

Paste response into ClawCheck

Paste the response so ClawCheck can assess the result.

4

Generate evaluation report

Review the final score, risks, and recommended improvements.