Real Skill packageSource verifiedClawHub registry

prioritize-drug-targets-ls

Generate and prioritize experimentally testable target hypotheses from one or more small-molecule structures. Use when a user supplies SMILES or a compound library and asks which targets the molecules may modulate, how structural neighbors and SAR support the hypotheses, which biological and competitive evidence should be checked, or which compounds and targets should advance to orthogonal validation.

Identity and source

Publisher attributionyuanzhian-patsnapregistry owner unverified by skillvetai
Functional categorySupport, Ecommerce & Customer Opsautomatically inferred · 57% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:yuanzhian-patsnap:prioritize-drug-targets-ls
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/13/2026.claude/skills/prioritize-drug-targets-ls

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/13/2026.agents/skills/prioritize-drug-targets-ls

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/13/2026skills/prioritize-drug-targets-ls

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

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/prioritize-drug-targets-ls
clawhub inspect @yuanzhian-patsnap/prioritize-drug-targets-ls --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
2 / 2 inspected as text
Checked
8/13/2026, 7:30:35 PM
Scanner
0.1.3
Policy
1.0.3
2 inferred permission indicators
  • network access — automatically inferred
  • filesystem write — automatically inferred
2 dependency and API indicators
  • api: clawhub.ai
  • api: open.patsnap.com
External clawhub result: clean

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.

Evidence checked
8/13/2026, 8:33:57 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:08af17fc03671ec33f70a1835e1abcd9ba2c3c42b5d023877ad248d1036aec36
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

- Initial public release of the "prioritize-drug-targets-ls" skill for evidence-backed target hypothesis generation from compound structures. - Supports intake of one or more small-molecule structures (SMILES, SDF/MOL, or structured files) and decision context for triage, discovery, or series selection. - Outputs prioritized hypotheses, compound quality, annotated neighbors, structure–activity insights, validation routes, and follow-up experiment suggestions. - Integrates with verified PatSnap MCPs for patent, target/disease, drug/pipeline, and clinical/scientific context retrieval. - Follows a structured workflow covering compound standardization, quality assessment, scaffold/series analysis, evidence assembly, and prioritization. - Clearly defines scope, limitations, evidence hierarchy, and operational integration criteria.