{"slug":"k-dense-ai-clinical-reports","name":"clinical-reports","description":"Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.","long_description":"---\nname: clinical-reports\ndescription: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.\nlicense: MIT\ncompatibility: Requires Python 3.11+ only for optional dependency-free local scripts; no network access, credentials, external models, or image services.\nmetadata:\n  version: \"2.0\"\n  skill-author: K-Dense Inc.\n---\n\n# Clinical Reports\n\n## Purpose\n\nPrepare **draft reporting structures**, aggregate tables, and review manifests from verified authorized facts. Route each artifact to the correct reporting guidance, preserve provenance, and stop when source support or qualified review is missing.\n\nThis skill does not establish legal, regulatory, ethical, journal, accreditation, or institutional compliance. Its scripts check structure and internal consistency only.\n\n## Non-Negotiable Boundary\n\nNever:\n\n- diagnose, recommend treatment, choose or change dosing, triage, or provide return precautions;\n- interpret images, specimens, raw laboratory results, symptoms, or other clinical observations;\n- invent, infer, normalize, “complete,” or silently reconcile observations, results, dates, units, denominators, causality, expectedness, seriousness, outcomes, or conclusions;\n- create an individual case safety report from patient-level narrative or decide reportability;\n- sign, attest, approve, file, transmit, submit, amend a source record, or act as a licensed clinician, pathologist, radiologist, laboratorian, safety physician, statistician, privacy officer, attorney, or regulatory professional;\n- use real PHI in examples, assets, tests, prompts, logs, or external services;\n- call an external LLM, image service, API, or another skill.\n\nAll generated artifacts must remain visibly marked:\n\n> DRAFT — NOT FOR CLINICAL USE, SIGNATURE, FILING, OR SUBMISSION. Populate only from verified authorized source records. Qualified review and sign-off are required.\n\nIf the request crosses a boundary, stop the unsafe portion. Offer a blank structured template, a source-fact manifest, or a deterministic structural check. Direct clinical or regulatory decisions to the responsible qualified professional.\n\n## Input Gate\n\nProceed only when all conditions are true:\n\n1. **Purpose is explicit**: publication draft, diagnostic-report scaffold, trial-results manuscript, protocol reporting review, CSR draft, aggregate safety table, or aggregate research summary.\n2. **Data class is allowed**: `synthetic`, `deidentified`, or `aggregate`.\n3. **Authority is documented**: the requester is authorized to use the records for the stated purpose.\n4. **Local-only handling is feasible**: no upload, remote API, telemetry, or credential is needed.\n5. **Minimum necessary is defined**: exclude fields not needed for the artifact.\n6. **Provenance exists**: every populated field or claim maps to one or more verified source-fact IDs.\n7. **Review owner is identified**: qualified clinical, statistical, safety, privacy, legal, journal, and/or regulatory review as applicable.\n\nDo not accept raw free-text patient records when a structured source-fact manifest can be supplied. Do not copy direct identifiers into this skill’s templates or scripts.\n\n## Route Before Drafting\n\n| Artifact | Primary route | Important boundary |\n|---|---|---|\n| Case report for publication | CARE 2013 checklist and 2017 explanation | Publication consent, privacy, journal policy, and clinical accuracy require human verification |\n| Radiology draft scaffold | ACR 2025 communication practice parameter plus modality-specific ACR material | A qualified radiologist authors findings/impression and handles nonroutine communication |\n| Pathology draft scaffold | Current specimen-specific CAP Cancer Protocol, if applicable | A qualified pathologist selects the protocol/version and authors diagnosis |\n| Laboratory draft scaffold | 42 CFR 493.1291 and laboratory policy | The performing laboratory controls results, reference intervals, corrections, and release |\n| Randomized-trial results report | CONSORT 2025 plus every applicable current extension | CONSORT is reporting guidance, not a conduct or submission standard |\n| Randomized-trial protocol report | SPIRIT 2025 plus applicable extensions | SPIRIT is for protocols, not results or CSRs |\n| Clinical Study Report | ICH E3 plus E3 Q&A; consider ICH E6(R3) and regional requirements | E3 is adaptable guidance, not a rigid universal template |\n| Pre-approval safety report | ICH E2A; E2B(R3) for electronic ICSR data; applicable regional law/guidance | Qualified sponsor/investigator safety assessment controls reportability and timing |\n| Post-approval individual safety report | ICH E2D(R1), E2B(R3), and regional requirements | Do not automate case assessment, coding, or submission |\n| Aggregate safety presentation | Protocol/SAP, ICH E3, CONSORT Harms, and applicable FDA/ICH guidance | Aggregate tables never determine individual-case reportability |\n| Aggregate research summary | Study-design-specific reporting guideline and source protocol/SAP | State population, estimand, denominator, missingness, and limitations exactly as verified |\n\nRead `references/report_type_routing.md` before choosing a route. Use the dated primary-source ledger in `references/sources.md`; check the live official source when requirements could have changed.\n\n## Safe Drafting Workflow\n\n### 1. Create a source-fact manifest\n\nUse `assets/provenance_manifest_template.json`. Record only local record locators, field paths, verification state, verifier role, verification date, and a SHA-256 value hash. Do not duplicate source content or direct identifiers.\n\nEvery draft claim or populated field must cite one or more fact IDs. Unsupported content remains `null` or `missing`; never replace it with plausible text.\n\n### 2. Generate the correct template\n\n```bash\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/generate_report_template.py --list\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/generate_report_template.py \\\n  --type case-report \\\n  --output ./case-report-draft.json\n```\n\nThe generator copies a fail-closed JSON template. It does not populate clinical content, create directories, overwrite files by default, or certify readiness.\n\n### 3. Populate verified fields only\n\n- Keep `draft_status` unchanged.\n- Replace `null` only when a verified fact ID supports the field.\n- Preserve uncertainty and “not assessed” exactly as recorded.\n- Do not translate a raw observation into a diagnosis, code, grade, stage, seriousness, causality, expectedness, or recommendation.\n- Use `not_applicable_with_rationale` only when a qualified reviewer supplied the rationale.\n- Keep source record and draft separate.\n\n### 4. Run deterministic checks\n\nCARE structure:\n\n```bash\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/validate_case_report.py \\\n  ./case-report-draft.json\n```\n\nICH E3, CONSORT 2025, or SPIRIT 2025 structure:\n\n```bash\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/validate_trial_report.py \\\n  ./trial-report-manifest.json\n```\n\nAggregate adverse-event table:\n\n```bash\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/format_adverse_events.py \\\n  ./aggregate-ae.csv --metadata ./safety-aggregate.json \\\n  --output ./aggregate-ae-table.md\n```\n\nTerminology schema:\n\n```bash\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/terminology_validator.py \\\n  ./terminology-manifest.json\n```\n\nDe-identification process documentation:\n\n```bash\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/check_deidentification.py \\\n  ./deidentification-process.json\n```\n\nTraceability and consistency:\n\n```bash\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/provenance_validator.py ./provenance.json\nPYTHONDONTWRITEBYTECODE=1 python3 scripts/consistency_checker.py ./consistency.json\n```\n\nThese tools use the Python standard library, local bounded files, and no network, dynamic evaluation, serialization code execution, or patient-record extraction. A successful result still says review is required.\n\n### 5. Apply the right review\n\nAt minimum:\n\n- clinical facts and interpretations: qualified clinician for the specialty;\n- statistical results, populations, estimands, denominators, and missingness: qualified statistician;\n- safety coding, seriousness, causality, expectedness, and reportability: qualified safety professional;\n- HIPAA, consent, authorization, and disclosure: privacy/legal/institutional review;\n- CSR or regulatory safety output: sponsor regulatory and medical review;\n- publication: all accountable authors and target-journal checks.\n\nNever sign or submit on another person’s behalf.\n\n## Case Reports\n\nUse `assets/case_report_template.json` and `references/case_report_guidelines.md`.\n\n- CARE’s current core checklist remains the 2013 checklist.\n- Report only what the verified record supports.\n- Do not turn a case into clinical advice or generalize causality from one case.\n- Patient perspective and informed-consent status must be recorded accurately; do not draft a false consent statement.\n- De-identification and consent are separate controls. Consent does not erase privacy risk.\n\n## Diagnostic Report Scaffolds\n\nUse the radiology, pathology, or laboratory JSON asset and `references/diagnostic_reports_standards.md`.\n\n- The assets are field maps, not diagnostic authoring systems.\n- Never generate findings, impressions, diagnoses, grades, stages, reference intervals, critical thresholds, or follow-up recommendations.\n- Preserve preliminary/final/corrected status and source-system version.\n- Use current, exact CAP protocol and version for the specimen; do not maintain a generic cancer staging default.\n- Communication and correction actions remain with the responsible clinical service.\n\nThe former SOAP, H&P, consultation, and discharge-summary interfaces were removed. Do not recreate patient-care notes, medication plans, triage instructions, billing support, or disposition advice.\n\n## Trial, CSR, and Safety Reporting\n\nRead `references/clinical_trial_reporting.md` and `references/safety_reporting.md`.\n\n- CONSORT 2025 has 30 minimum items for randomized-trial results; select relevant extensions from the current official catalogue.\n- SPIRIT 2025 has 34 minimum items for randomized-trial protocols and supersedes SPIRIT 2013.\n- ICH E3 remains the CSR basis; its 2012 Q&A explicitly permits justified adaptation.\n- ICH E6(R3) consolidated Principles, Annex 1, and Annex 2 were adopted on 16 June 2026; regional implementation can differ.\n- Distinguish seriousness from severity and an adverse event from a suspected adverse reaction.\n- ICH E2B(R3) defines electronic ICSR data/message structure; it is not an aggregate-table format or a reportability decision rule.\n- ICH E2D(R1), adopted 15 September 2025, addresses post-approval individual case safety reporting; aggregate periodic reporting is addressed separately.\n- FDA requirements and electronic submission routes are role-, product-, study-, and date-specific. This skill never files or transmits.\n\n## Privacy\n\nRead `references/privacy_and_deidentification.md`.\n\n- Handle only the minimum necessary data locally.\n- HHS recognizes Safe Harbor and Expert Determination under 45 CFR 164.514(b).\n- Safe Harbor also requires no actual knowledge that remaining information can identify an individual.\n- Expert Determination must be performed and documented by an appropriately qualified expert.\n- A checklist or pattern scan cannot establish de-identification or HIPAA compliance.\n- Rare conditions, small cells, dates, free text, images, metadata, and combinations of quasi-identifiers can retain re-identification risk.\n\n## Assets\n\nAll assets contain synthetic schemas only and start blocked:\n\n- `assets/case_report_template.json`\n- `assets/radiology_report_template.json`\n- `assets/pathology_report_template.json`\n- `assets/lab_report_template.json`\n- `assets/clinical_trial_csr_template.json`\n- `assets/clinica","tagline":"Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified ","category":"research","tags":["agent-skill"],"author":"K-Dense-AI","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"K-Dense-AI/scientific-agent-skills","creatorName":"K-Dense-AI","creatorUrl":"https://github.com/K-Dense-AI","sourceUrl":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":41395,"forks":3816,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":55.72},"quality":{"score":93,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"41K","tone":"positive"},{"label":"Freshness","value":"5d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect."]},"trust":{"version":"trust-score-v5","score":65,"base_score":73,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["65/100 Trust Score v5","73/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing 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execution"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","trust_score":65,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":73,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":73,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"41K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"41K stars, 3.8K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"5d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":46,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":18,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"41K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"41K stars, 3.8K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"5d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"3 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"evidence":{"stars":"41K GitHub stars","repoActivity":"41K stars, 3.8K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","install":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","5d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":40,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","40/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","40/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":74,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: secrets or environment access, shell or command execution","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","The SKILL.md excerpt is truncated; full documentation is assumed to be complete and consistent with the provided sections.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate clinical-reports before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports"]},{"id":"trust_score","label":"Trust score","status":"warn","score":73,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","41K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":84,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":40,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","Metadata combines secrets access with shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"5d since push","evidence":["5d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":18,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports/evals","api":"/api/agent/evals?slug=k-dense-ai-clinical-reports","text":"/api/agent/evals?slug=k-dense-ai-clinical-reports&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"k-dense-ai-clinical-reports","name":"clinical-reports","description":"Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.","category":"research","url":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","github_repo":"K-Dense-AI/scientific-agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add k-dense-ai-clinical-reports"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"clinical-reports\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"clinical-reports\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"clinical-reports\" from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/k-dense-ai-clinical-reports/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-clinical-reports"},"trust":{"score":73,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"41K GitHub stars","repoActivity":"41K stars, 3.8K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","install":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":84,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","The SKILL.md excerpt is truncated; full documentation is assumed to be complete and consistent with the provided sections.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":93,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"5d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","The SKILL.md excerpt is truncated; full documentation is assumed to be complete and consistent with the provided sections.","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use clinical-reports in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 73/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 40/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"k-dense-ai-clinical-reports (clinical-reports)","install_command":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"k-dense-ai-clinical-reports","task":"Use clinical-reports in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports","api":"https://www.openagentskill.com/api/agent/skills/k-dense-ai-clinical-reports","audit":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=k-dense-ai-clinical-reports&task=Use%20clinical-reports%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20clinical-reports%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20clinical-reports%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/k-dense-ai-clinical-reports/install","manifest":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-clinical-reports"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"k-dense-ai-clinical-reports","name":"clinical-reports","description":"Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.","category":"research","url":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","github_repo":"K-Dense-AI/scientific-agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add k-dense-ai-clinical-reports"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"clinical-reports\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"clinical-reports\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"clinical-reports\" from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/k-dense-ai-clinical-reports/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-clinical-reports"},"trust":{"score":73,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"41K GitHub stars","repoActivity":"41K stars, 3.8K forks","lastPushed":"5d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","install":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":84,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","The SKILL.md excerpt is truncated; full documentation is assumed to be complete and consistent with the provided sections.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":93,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"5d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","The SKILL.md excerpt is truncated; full documentation is assumed to be complete and consistent with the provided sections.","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use clinical-reports in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 73/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 40/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"k-dense-ai-clinical-reports (clinical-reports)","install_command":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"k-dense-ai-clinical-reports","task":"Use clinical-reports in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports","api":"https://www.openagentskill.com/api/agent/skills/k-dense-ai-clinical-reports","audit":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=k-dense-ai-clinical-reports&task=Use%20clinical-reports%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20clinical-reports%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20clinical-reports%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/k-dense-ai-clinical-reports/install","manifest":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-clinical-reports"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"github-automation","title":"GitHub automation"},{"slug":"legal-compliance","title":"Legal and compliance"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":41395,"starsLabel":"41K","forks":3816,"license":"MIT","qualityScore":93,"trustScore":73,"auditScore":84},"maintenance":{"status":"fresh","label":"5d since push","daysSincePush":5,"lastPushedAt":"2026-08-31T17:14:03+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","The SKILL.md excerpt is truncated; full documentation is assumed to be complete and consistent with the provided sections.","Permission surface needs review: secrets or environment access, shell or command execution"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":84,"risk_level":"needs_review","risk_label":"Needs review","quality_score":93,"trust_score":73,"maintenance_score":100,"security_score":71,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill is highly specialized and may not be broadly applicable outside clinical research contexts, but this is not a defect.","The SKILL.md excerpt is truncated; full documentation is assumed to be complete and consistent with the provided sections.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":32.32,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"legal-compliance","title":"Legal and compliance","url":"https://www.openagentskill.com/use-cases/legal-compliance"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"}],"install":"npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add k-dense-ai-clinical-reports","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"clinical-reports\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"clinical-reports\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"clinical-reports\" from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-clinical-reports\",\"task\":\"Install clinical-reports\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","github_repo":"K-Dense-AI/scientific-agent-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/k-dense-ai-clinical-reports","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/clinical-reports","api":"/api/agent/skills/k-dense-ai-clinical-reports","install_api":"/api/skills/k-dense-ai-clinical-reports/install"},"meta":{"created_at":"2026-09-01T17:41:01.522021+00:00","updated_at":"2026-09-01T17:41:01.617002+00:00","agent_friendly":true}}