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Scan AI systems and code for bias with CI-ready detection.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "biascope" yet — see the docs or source repo.
Use biascope to scan the model evaluation scripts and prompt configurations in our repository. Focus on demographic, occupational, and geographic bias, and produce a summary report suitable for CI pass/fail decisions.
A CI-ready bias detection report with findings, risk levels, and pass/fail criteria.
Use biascope to inspect this AI logic and code for candidate screening. Identify any unfair tendencies toward specific occupational backgrounds, regions, or demographic groups, and list the high-risk issues.
A bias audit for the hiring workflow, highlighting potential discrimination risks and the related code or rule locations.
Act as a code review agent and call biascope to scan the latest changes for bias. Compare risk differences between the new and previous versions across geographic, occupational, and demographic dimensions, and suggest fixes.
A change-level bias analysis showing new risks, comparison notes, and actionable remediation suggestions.
Scan AI agents for bias risks and assess fairness to improve outputs.
Scan codebases for LLM usage, AI frameworks, and exposed secrets.
Audit MCP configs for exposed access, secrets, models, and compliance AI-BOMs.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Analyze codebases with metrics, thresholds, and quality checks for faster reviews.
Scan MCP servers and AI tools for risks with scoring and auto-protection.