target-intelligence-tools
Target research workflow guide for building compact drug-target dossiers across protein identity, disease evidence, known drugs, interaction partners…
Skill by DrugClaw
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/drugclaw-target-intelligence-tools
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/target-intelligence-tools
What's inside
- Skill name
target-intelligence-tools- Description
- Target research workflow guide for building compact drug-target dossiers across protein identity, disease evidence, known drugs, interaction partners, pathways, and variant constraint signals. Use when the user asks for a target brief, target validation snapshot, or a one-file summary of what is known about a gene or protein target.
- License
- Apache-2.0
- Instructions
- 65 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- target_dossier.py · templates/
SKILL.md (first lines)
# Target Intelligence Tools
Use this skill when the user wants an integrated target brief rather than isolated API hits.
Typical triggers:
- build a quick dossier for a therapeutic target
- summarize what is known about a gene or protein target
- collect disease evidence, known drugs, pathways, and interaction partners in one report
- prepare a target-validation snapshot before docking, screening, or literature deepening
## Environment Check
```bash
which python3 || true
python3 - <<'PY'
mods = ["requests"]
for name in mods:
try:
__import__(name)
print(f"{name}: ok")
except Exception as exc:
print(f"{name}: missing ({exc})")
PY
```
If outbound network access is blocked, say so explicitly before claiming the dossier ran.
## Bundled Asset
- `templates/target_dossier.py`
## Preferred Workflow
1. Start from the clearest target identifier available.
2. Resolve the target to stable IDs first.
3. Pull disease associations, known drugs, pathways, and interaction partners into one markdown dossier.
4. Keep the output compact and explicit about missing data.
5. Treat the dossier as a research briefing artifact, not a validated decision report.
## Quick Start
```bash
python3 templates/target_dossier.py \
--query EGFR \
--output targets/egfr_dossier.md \
--summary targets/egfr_dossier.json \
--detail-json targets/egfr_dossier.detail.json
```
## Output Expectations
Good answers should mention:
- the exact identifier or query used
- which stable IDs were resolved
- how many disease, drug, pathway, and interaction rows were found
- whether ClinVar or gnomAD constraint signals were available
- where the markdown dossier and summary JSON were written
## Related Skills
For raw UniProt, PDB, ClinVar, gnomAD, Reactome, STRING, or OpenTargets queries, activate `bio-db-tools`.
For public compound and regulatory APIs such as ChEMBL, BindingDB, openFDA, ClinicalTrials.gov, or OpenAlex, activate `pharma-db-tools`.
For local variant-callset summarization before target interpretation, activate `variant-analysis-tools`.From DrugClaw/DrugClaw, Apache-2.0.
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Signals
- Stars
- 87
- Forks
- 8
- Open issues
- 1
- Last commit (this folder)
- Mar 11, 2026 (7 months ago)
- Last release
- Mar 13, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/DrugClaw/DrugClaw
- Website
- drugclaw.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
target-intelligence-tools skill. Agent Mart. https://agentmart.dev/skills/drugclaw-target-intelligence-tools (last updated 2026-10-24)