.claude/skills/pharma-intelligence-briefRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
生成药物、赛道或技术模态的周期性情报简报
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/pharma-intelligence-briefRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/pharma-intelligence-briefRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/pharma-intelligence-briefRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @yuanzhian-patsnap/pharma-intelligence-briefclawhub inspect @yuanzhian-patsnap/pharma-intelligence-brief --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.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:e2141022bc5b9296fd892f83c7bc38e24868f4f43ad9008956f6416b2691260bagents/openai.yamlreferences/drug_type_mapping.mdreferences/legacy-module-contracts.mdscripts/generate_report.pyskill-card.mdskill.manifest.jsonSKILL.mdInitial release of pharma-intelligence-brief. - Generates periodic intelligence briefs for drugs, tracks, or technology modalities, summarizing R&D, clinical, regulatory, deal, and key competitive developments. - Requires explicit date range, targets, indications, modalities, organizations, competitors, included modules, and output format. - Standardizes entity, filtering, and data schemas with robust normalization, duplicate removal, and meticulous window enforcement. - Separates facts from insights, linking each finding to event/source IDs. - Ensures transparent logging, coverage reporting, and error handling. - Output generated exclusively via a prescribed rendering script; delivers actionable management summaries only when audience and organization are known.