Agent skill

Target Intelligence Tools

Target research workflow guide for building compact drug-target dossiers across protein identity, disease evidence, known drugs, interaction partners, pathways, and variant constraint signals.

Apache-2.0Auto-check passedResearch & Science

Install Target Intelligence Tools

skills CLI

$ npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install DrugClaw/DrugClaw target-intelligence-tools --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/target-intelligence-tools .claude/skills/target-intelligence-tools && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "target-intelligence-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/research/target-intelligence-tools into .claude/skills/target-intelligence-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "target-intelligence-tools", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/DrugClaw/DrugClaw/tree/main/skills/research/target-intelligence-tools

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install DrugClaw/DrugClaw target-intelligence-tools --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research/target-intelligence-tools .agents/skills/target-intelligence-tools && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "target-intelligence-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/research/target-intelligence-tools into .agents/skills/target-intelligence-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "target-intelligence-tools", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install DrugClaw/DrugClaw target-intelligence-tools --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research/target-intelligence-tools .cursor/skills/target-intelligence-tools && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "target-intelligence-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/research/target-intelligence-tools into .cursor/skills/target-intelligence-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "target-intelligence-tools", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/DrugClaw/DrugClaw.git --path skills/research/target-intelligence-tools

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install DrugClaw/DrugClaw target-intelligence-tools --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research/target-intelligence-tools .gemini/skills/target-intelligence-tools && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "target-intelligence-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/research/target-intelligence-tools into .gemini/skills/target-intelligence-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "target-intelligence-tools", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install DrugClaw/DrugClaw target-intelligence-tools

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research/target-intelligence-tools .github/skills/target-intelligence-tools && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "target-intelligence-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/research/target-intelligence-tools into .github/skills/target-intelligence-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "target-intelligence-tools", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install DrugClaw/DrugClaw target-intelligence-tools --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DrugClaw/DrugClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research/target-intelligence-tools .opencode/skills/target-intelligence-tools && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "target-intelligence-tools" agent skill from https://github.com/DrugClaw/DrugClaw/tree/main/skills/research/target-intelligence-tools into .opencode/skills/target-intelligence-tools/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "target-intelligence-tools", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: target-intelligence-tools
GitHub stars: 125
Token cost: ~629 tokens
SKILL.md length: 222 words
Files: 2
Skills in repo: 25
Repo updated: Mar 23, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Target research workflow guide for building compact drug-target dossiers across protein identity, disease evidence, known drugs, interaction partners, pathways, and variant constraint signals.

Works in 5 steps: Start from the clearest target… → Resolve the target to stable IDs first. → Pull disease associations, known drugs,… → …
The user asks for a target brief
SKILL.md covers Environment Check, Bundled Asset, Preferred Workflow and Quick Start, plus 2 more sections
Runs Python scripts from its folder; calls python3

What it does

Target Intelligence Tools is an agent skill from DrugClaw/DrugClaw. 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.

Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `templates/target_dossier.py`).

It sits in Research & Science. The repository describes itself as: 💊 AI Research Assistant for Accelerated Drug Discovery. 🦞. The licence is Apache-2.0.

When your agent uses it

The user asks for a target brief
Target validation snapshot
A one-file summary of what is known about a gene

Example prompts

“/target-intelligence-tools”

Requirements

Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Start from the clearest target identifier available.
Resolve the target to stable IDs first.
Pull disease associations, known drugs, pathways, and interaction partners into one markdown dossier.
Keep the output compact and explicit about missing data.
Treat the dossier as a research briefing artifact, not a validated decision report.

What it can do on your machine

Read from SKILL.md and the folder at commit 960a6e0. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Target Intelligence Tools loads about 629 tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 222 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~90
When it runs · the whole SKILL.md, loaded when a task matches: ~629

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DrugClaw/DrugClaw at commit 960a6e0, republished under its Apache-2.0 licence (© DrugClaw). 222 words, ~629 tokens.

Download SKILL.mdSave it as .claude/skills/target-intelligence-tools/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

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.
source: drugclaw
updated_at: 2026-03-11

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

Start from the clearest target identifier available.
Resolve the target to stable IDs first.
Pull disease associations, known drugs, pathways, and interaction partners into one markdown dossier.
Keep the output compact and explicit about missing data.
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

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.

Files

SKILL.md and 1 other file in skills/research/target-intelligence-tools of DrugClaw/DrugClaw.

SKILL.md
templates/target_dossier.py

Open the folder on GitHubat commit 960a6e0

Compare with similar skills

Target Intelligence Tools next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Target Intelligence Tools compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Target Intelligence Tools this skillDrugClaw/DrugClaw	125	—	~629	Automated safety check: Pass	Apache-2.0	6 mo ago
Hypothesis Generationspacering-net/codeg	3.8k	15 repos	~3.6k	Automated safety check: Notes	MIT	yesterday
GitHub Deep Researchbytedance/deer-flow	83k	5 repos	~1.3k	Automated safety check: Pass	MIT	today
Nature Paper CardYuan1z0825/nature-skills	46k	2 repos	~2.1k	Automated safety check: Pass	Apache-2.0	yesterday
Read arXiv Paperkarpathy/nanochat	58k	2 repos	~494	Automated safety check: Pass	MIT	1 mo ago
Content Research Writerweapp-tailwindcss/weapp-tailwindcss	1.9k	25 repos	~3.5k	Automated safety check: Pass	MIT	today

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Questions about Target Intelligence Tools

What does Target Intelligence Tools do?

Target research workflow guide for building compact drug-target dossiers across protein identity, disease evidence, known drugs, interaction partners, pathways, and variant constraint signals. Target Intelligence Tools is an agent skill from DrugClaw/DrugClaw. Target research workflow guide for building compact drug-target dossiers across protein identity, disease evidence, known drugs, interaction partners, pathways, and variant constraint signals.

When should I use Target Intelligence Tools?

Target Intelligence Tools fits situations like: the user asks for a target brief; target validation snapshot; A one-file summary of what is known about a gene.

How do I install Target Intelligence Tools in Claude Code?

Run `npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a claude-code`. Or copy the skill folder (skills/research/target-intelligence-tools in DrugClaw/DrugClaw) into .claude/skills/target-intelligence-tools in your project. Claude Code loads it when a task matches its description.

How do I install Target Intelligence Tools in Codex?

Run `npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a codex`. Or copy the skill folder (skills/research/target-intelligence-tools in DrugClaw/DrugClaw) into .agents/skills/target-intelligence-tools in your project. Codex loads it when a task matches its description.

Can I use Target Intelligence Tools in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DrugClaw/DrugClaw --skill target-intelligence-tools -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/target-intelligence-tools, .gemini/skills/target-intelligence-tools, .github/skills/target-intelligence-tools and .opencode/skills/target-intelligence-tools in your project.

What does Target Intelligence Tools need to run?

Going by SKILL.md and its folder, Target Intelligence Tools needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Target Intelligence Tools access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Target Intelligence Tools safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Target Intelligence Tools use?

Target Intelligence Tools is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Target Intelligence Tools use?

About 629 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Target Intelligence Tools?

Skills that share tags, products or a category with Target Intelligence Tools: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Target Intelligence Tools?

DrugClaw (a GitHub organization) maintains it in DrugClaw/DrugClaw, which has 125 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on March 23, 2026.

Source: DrugClaw/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Target Intelligence Tools

Install Target Intelligence Tools

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Target Intelligence Tools

Environment Check

Bundled Asset

Preferred Workflow

Quick Start

Output Expectations

Files

Compare with similar skills

Similar skills

Hypothesis Generation

GitHub Deep Research

Nature Paper Card

Read arXiv Paper

Content Research Writer

Peer Review

More from DrugClaw/DrugClaw

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Literature Review Tools

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Omics Tools

Questions about Target Intelligence Tools

Install Target Intelligence Tools

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Target Intelligence Tools

Environment Check

Bundled Asset

Preferred Workflow

Quick Start

Output Expectations

Related Skills

Files

Compare with similar skills

Similar skills

More from DrugClaw/DrugClaw

Related

Questions about Target Intelligence Tools