.claude/skills/target-drug-evidence-evaluationRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
通过多维证据矩阵评估靶点药物并支持立项判断
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These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/target-drug-evidence-evaluationRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/target-drug-evidence-evaluationRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/target-drug-evidence-evaluationRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @yuanzhian-patsnap/target-drug-evidence-evaluationclawhub inspect @yuanzhian-patsnap/target-drug-evidence-evaluation --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:b6e6cea6ff681bbda6e3c9994e64d4b3fde378cf74d0797b78b9409d0505e758agents/openai.yamlreferences/mcp-tool-map.mdreferences/output-templates.mdreferences/scoring-rubric.mdskill-card.mdskill.manifest.jsonSKILL.mdInitial release of target-drug-evidence-evaluation skill. - Supports multi-dimensional evidence matrix evaluation for target-drug project triage (Go/Watch/Niche Go/No-Go decisions). - Accepts target, optional disease/modality/country/user_type/stage_intent inputs; defaults used if missing. - Standardizes inputs, fetches target existence, drug landscape, milestone events, clinical activity/results, translational/biomarker evidence, guidelines, and FTO/patent status. - Outputs fixed four-part structure: Executive Verdict, Scorecard (six dimensions), Evidence Matrix, and Next Actions. - Includes clear guardrails: evidence-based scoring only, clear flag for insufficient evidence, no intelligence briefs or investment/clinical advice.