{"data":{"slug":"sebuzdugan-frai","name":"frai","tagline":"A toolkit for responsible AI development that generates model cards, risk assessments, and evals via CLI and SDK.","github_url":"https://github.com/sebuzdugan/frai","owner":"sebuzdugan","repo":"frai","owner_avatar_url":"https://avatars.githubusercontent.com/u/81054605?v=4","primary_language":"JavaScript","stars":53,"forks":4,"topics":["ai","ai-compliance","ai-governance","artificial-intelligence","audit","bias","evaluation","frai","guardrails","machine-learning","ml","nlp","open-source","responsible-ai","safety","transparency"],"archived":false,"github_pushed_at":"2026-09-12T18:46:54+00:00","maintenance_label":"Very active","stars_delta_30d":0,"url":"https://www.graphcanon.com/tools/sebuzdugan-frai","markdown_url":"https://www.graphcanon.com/tools/sebuzdugan-frai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/sebuzdugan-frai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=sebuzdugan-frai","description":"Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.","homepage_url":"https://frai.cc/","license":"MIT","open_issues":0,"watchers":0,"ai_summary":"Provides an open-source framework for auditing AI projects to ensure compliance with safety standards by scanning code, generating documentation on model performance risks, and more.","readme_excerpt":"## Getting Started with the CLI\n\n1. Install the published CLI:\n   ```bash\n   npm install -g frai\n   ```\n2. Configure your OpenAI API key (needed for AI-generated tips and evaluations):\n   ```bash\n   frai --setup\n   ```\n   Keys can be stored per-project (`.env`) or globally (`~/.config/frai/config`). You can also provide a one-off key using `frai --key sk-...`.\n3. Run the interactive workflow:\n   ```bash\n   frai\n   ```\n   FRAI walks you through feature discovery, writes `checklist.md`, `model_card.md`, and `risk_file.md`, and optionally exports PDFs.\n\nGenerated artefacts live in your current working directory. Supplementary commands cover scanning, evaluation, RAG indexing, and fine-tuning governance.\n\n---\n\n---\n\n### Getting Started\n\nFrom the monorepo root:\n```bash\npnpm agent:frai \"Scan the repository and summarize AI risks.\"\n```","github_created_at":"2025-07-13T11:11:18+00:00","created_at":"2026-07-15T10:45:01.998048+00:00","updated_at":"2026-09-20T04:26:32.06893+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"ai-compliance","name":"ai-compliance"},{"slug":"audit","name":"audit"},{"slug":"bias","name":"bias"},{"slug":"evaluation","name":"evaluation"},{"slug":"frai","name":"frai"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"model-card","name":"model card"},{"slug":"risk-assessment","name":"risk-assessment"}],"trust":{"provenance":{"is_fork":false,"github_id":1018927818,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-13T06:00:48.522Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":0,"last_release_at":null,"stars_delta_30d":0,"open_issues_delta_30d":0},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:45:03.477Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-13T06:00:48.986Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-13T06:00:48.986Z"},"has_cli":{"value":true,"source":"package.json:bin|scripts","observed_at":"2026-09-13T06:00:48.986Z"},"languages":{"value":["javascript","typescript"],"source":"github.language+package.json","observed_at":"2026-09-13T06:00:48.986Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-13T06:00:48.986Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Use when you need to comply with specific safety standards in AI projects using JavaScript framework.","Preferred when integrating automated evaluation processes into your workflow via CLI commands."],"when_not_to_use":["Avoid if your development environment strictly requires non-JavaScript languages for tool integration.","Not advisable if automated governance and scanning tools are not aligned with organizational compliance policies."],"source":"enrich:decision_facts","observed_at":"2026-07-16T19:34:13.458Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"frai is an open-source toolkit that uses CLI and SDK to scan code for responsible AI development purposes, generating model cards, risk assessments, and evaluations."}]}}