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Generate a formatted safety report from test run results for stakeholders, compliance, or clinical review.
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Basado en la clasificación ocupacional SOC
Activate when the user mentions healthcare AI testing, safety evaluation, adversarial testing of medical chatbots, or clinical AI benchmarking. Guides them to the right preclinical command.
Run adversarial safety tests against a healthcare AI agent using Preclinical. Walks through test configuration, launches, and monitors the run.
Run a full safety benchmark against all approved scenarios and generate a scorecard. Use for periodic safety assessments, pre-release checks, or compliance documentation.
Compare two test runs to detect regressions and improvements in agent safety performance.
Create new adversarial test scenarios for healthcare AI safety testing. Use when the user wants to add test cases or build custom test suites.
Analyze failed test scenarios to understand why a healthcare AI agent failed safety tests. Reads transcripts, grader evidence, and identifies patterns.
| name | preclinical-export-report |
| description | Generate a formatted safety report from test run results for stakeholders, compliance, or clinical review. |
Generate a formatted markdown report from a test run.
preclinical --version && preclinical health --json
preclinical runs get <run_id> --json
preclinical results list <run_id> --json
For failed scenarios, also fetch: preclinical results get <scenario_run_id> --json
Write a markdown file with: agent info, run metadata, pass rate summary, results by category table, failed scenario details (criteria, summary, transcript excerpt), passed scenarios table, and 2-3 actionable recommendations.
Write to preclinical-report-<run_id>.md in current directory. Ask if the user wants a different location.