Review clinical research AI work with evidence-first boundaries so agents do not invent medical sources, expose private data, or turn research notes into patient-specific advice.
/goal GOAL: Complete Clinical Research AI Safety Boundary for a research task: Review clinical research AI work with evidence-first boundaries so agents do not invent medical sources, expose private data, or turn research notes into patient-specific advice. CONTEXT: - Before editing, read the nearest AGENTS.md/CLAUDE.md, current issue or PLAN.md, and any failing logs already in the repo. - Inspect source lists, citation notes, evidence files, and acceptance criteria. - Establish a baseline by running or locating evidence for: `manual review checklist for source facts, uncertainty, safety note, inspected files, and human-review needs`. CONSTRAINTS: - Keep the scope limited to this goal; do not expand into unrelated cleanup. - Do not weaken tests, delete assertions, or mask errors to make verification pass. - Respect the repository's AGENTS.md/CLAUDE.md instructions and existing patterns. - Do not present unsourced claims as facts. - Keep direct quotes short and attach a public URL for every external claim. DONE WHEN: - The implementation or documentation directly satisfies: Review clinical research AI work with evidence-first boundaries so agents do not invent medical sources, expose private data, or turn research notes into patient-specific advice. - The verification command or evidence path succeeds: `manual review checklist for source facts, uncertainty, safety note, inspected files, and human-review needs`. - The final diff is scoped to the relevant files and has no unrelated formatting churn. VERIFY: - Run `manual review checklist for source facts, uncertainty, safety note, inspected files, and human-review needs` or the closest repo-local equivalent if the exact command is not available. - Capture before/after evidence for the behavior, metric, report, or artifact involved. - If verification cannot run locally, stop and report the missing dependency instead of guessing success. OUTPUT: - Summarize changed files, key decisions, verification output, and remaining risks. - Include any follow-up that is required for production rollout or human review. STOP RULES: - Pause if secrets, production access, stakeholder decisions, or destructive data operations are required. - Pause after three failed fix attempts on the same symptom and challenge the root-cause hypothesis. - Do not mark the goal complete until the current repository state has been audited against DONE WHEN.
原始来源: Clinical AI Agent Skills README
证据摘要: Evidence Before Confidence; source: Clinical AI Agent Skills README; type: tool-readme; verification: manual review checklist for source facts, uncertainty, safety note, inspected files, and human-review needs