tooluniverse-target-research
Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.
npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-target-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Comprehensive Target Intelligence Gatherer Gather complete target intelligence by exploring 9 parallel research paths. Supports targets identified by gene symbol, UniProt accession, Ensembl ID, or gene name. **KEY PRINCIPLES**: 1. **Report-first approach** - Create report file FIRST, then populate progressively 2. **Tool parameter verification** - Verify params via `get_tool_info` before calling unfamiliar tools 3. **Evidence grading** - Grade all claims by evidence strength (T1-T4) 4. **Citation requirements** - Every fact must have inline source attribution 5. **Mandatory completeness** - All sections must exist with data minimums or explicit "No data" notes 6. **Disambiguation first** - Resolve all identifiers before research 7. **Negative results documented** - "No drugs found" is data; empty sections are failures 8. **Collision-aware literature search** - Detect and filter naming collisions 9. **English-first queries** - Always use English terms in tool calls, even if the user writes in another language. Translate gene names, disease names, and search terms to English. Only try original-language terms as a fallback if English returns no results. Respond in the user's languag
- Phase 0: Tool Parameter Verification (CRITICAL)
- Known Parameter Corrections (Updated)
- GTEx Versioned ID Fallback (CRITICAL)
- When to Use This Skill
- Critical Workflow Requirements
- 1. Report-First Approach (MANDATORY)
- 2. Evidence Grading System (MANDATORY)
- 3. Citation Requirements (MANDATORY)
- Core Strategy: 9 Research Paths
- Identifier Resolution (Phase 1)
- GPCR Target Detection (NEW)
- Collision Detection for Literature Search
- PATH 0: Open Targets Foundation (ALWAYS FIRST)
- Path 0 Implementation
What does the tooluniverse-target-research skill do?
Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill tooluniverse-target-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.