Agent skill

Tooluniverse Binder Discovery

Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches.

No licenceAuto-check passedResearch & Science

Install Tooluniverse Binder Discovery

skills CLI

$ npx skills add wu-yc/LabClaw --skill tooluniverse-binder-discovery -a claude-code

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

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-binder-discovery --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/wu-yc/LabClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pharma/tooluniverse-binder-discovery .claude/skills/tooluniverse-binder-discovery && 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 "tooluniverse-binder-discovery" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-binder-discovery into .claude/skills/tooluniverse-binder-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-binder-discovery", 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/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-binder-discovery

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 wu-yc/LabClaw --skill tooluniverse-binder-discovery -a codex

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

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-binder-discovery --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pharma/tooluniverse-binder-discovery .agents/skills/tooluniverse-binder-discovery && 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 "tooluniverse-binder-discovery" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-binder-discovery into .agents/skills/tooluniverse-binder-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-binder-discovery", 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 wu-yc/LabClaw --skill tooluniverse-binder-discovery -a cursor

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

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-binder-discovery --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pharma/tooluniverse-binder-discovery .cursor/skills/tooluniverse-binder-discovery && 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 "tooluniverse-binder-discovery" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-binder-discovery into .cursor/skills/tooluniverse-binder-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-binder-discovery", 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/wu-yc/LabClaw.git --path skills/pharma/tooluniverse-binder-discovery

--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 wu-yc/LabClaw --skill tooluniverse-binder-discovery -a gemini-cli

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

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-binder-discovery --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/wu-yc/LabClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pharma/tooluniverse-binder-discovery .gemini/skills/tooluniverse-binder-discovery && 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 "tooluniverse-binder-discovery" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-binder-discovery into .gemini/skills/tooluniverse-binder-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-binder-discovery", 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 wu-yc/LabClaw tooluniverse-binder-discovery

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 wu-yc/LabClaw --skill tooluniverse-binder-discovery -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pharma/tooluniverse-binder-discovery .github/skills/tooluniverse-binder-discovery && 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 "tooluniverse-binder-discovery" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-binder-discovery into .github/skills/tooluniverse-binder-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-binder-discovery", 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 wu-yc/LabClaw --skill tooluniverse-binder-discovery -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 wu-yc/LabClaw tooluniverse-binder-discovery --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pharma/tooluniverse-binder-discovery .opencode/skills/tooluniverse-binder-discovery && 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 "tooluniverse-binder-discovery" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-binder-discovery into .opencode/skills/tooluniverse-binder-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-binder-discovery", 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: tooluniverse-binder-discovery
GitHub stars: 1.1k
Used in: 2 other repos
Token cost: ~12k tokens
SKILL.md length: 1,703 words
Files: 1
Skills in repo: 68
Repo updated: Mar 19, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches.

Works in 12 steps: Report-First Approach (MANDATORY) → Citation Requirements (MANDATORY) → Target Validation → …
Users ask to find small molecules for a target
SKILL.md covers Critical Workflow Requirements, Workflow Overview, Phase 0: Tool Verification and Phase 1: Target Validation, plus 4 more sections
Needs NVIDIA_API_KEY

What it does

Tooluniverse Binder Discovery is an agent skill from wu-yc/LabClaw. Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches. Creates actionable reports with candidate compounds, ADMET profiles, and synthesis feasibility. Use when users ask to find small molecules for a target, identify novel binders, perform virtual screening, or need hit-to-lead compound identification.

Its SKILL.md is about 12k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Drug discovery and cheminformatics and Creative writing and fiction. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).

When your agent uses it

Users ask to find small molecules for a target
Identify novel binders
Perform virtual screening
Need hit-to-lead compound identification

Example prompts

“/tooluniverse-binder-discovery”

Requirements

Python 3

Workflow steps

12 steps, taken from the step headings in SKILL.md.

Report-First Approach (MANDATORY)
Citation Requirements (MANDATORY)
Target Validation
Known Ligands
Structure
Expansion
ADMET
Prioritization
Recommendations
Target Validation
Known Ligands
4: Structure Prediction (NVIDIA NIM)

What it can do on your machine

Read from SKILL.md and the folder at commit df37802. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and python).
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 these keys or tokens, usually read from environment variables:
- NVIDIA_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tooluniverse Binder Discovery loads about 12k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 1,703 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~97
When it runs · the whole SKILL.md, loaded when a task matches: ~12k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,703 words (~11,565 tokens).

“Systematic discovery of novel small molecule binders using 60+ ToolUniverse tools across druggability assessment, known ligand mining, similarity expansion, ADMET filtering, and synthesis feasibility.”

— opening of SKILL.md by wu-yc

name: tooluniverse-binder-discovery

Outline of SKILL.md

Small Molecule Binder Discovery Strategy
Critical Workflow Requirements
1. Report-First Approach (MANDATORY)
2. Citation Requirements (MANDATORY)
Workflow Overview
Phase 0: Tool Verification
Known Parameter Corrections
Phase 1: Target Validation
1.1 Identifier Resolution Chain
1.2 Druggability Assessment
1.2a GPCRdb Integration (NEW - for GPCR Targets)
1.2.5 Therapeutic Antibody Landscape (NEW)
1.3 Binding Site Analysis
1.4 Structure Prediction (NVIDIA NIM)
Phase 2: Known Ligand Mining
2.1 ChEMBL Bioactivity Data
2.2 GtoPdb Interactions
2.3 Chemical Probes
2.4 SAR Analysis from Actives
2.5 BindingDB Affinity Data (NEW)
2.6 PubChem BioAssay Screening Data (NEW)
Phase 3: Structure Analysis
3.1 PDB Structure Retrieval
3.1b EMDB Cryo-EM Structures (NEW)
3.2 Binding Pocket Analysis
Phase 3.5: Docking Validation (NVIDIA NIM)
3.5.1 Reference Compound Docking
3.5.2 Docking Score Interpretation
Phase 4: Compound Expansion
4.1 Similarity Search

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/pharma/tooluniverse-binder-discovery of wu-yc/LabClaw.

Open the folder on GitHubat commit df37802

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in wu-yc/LabClaw, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tooluniverse Binder Discovery 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.

Tooluniverse Binder Discovery compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Tooluniverse Binder Discovery this skillwu-yc/LabClaw	1.1k	2 repos	~12k	Automated safety check: Pass	None	6 mo ago
Drug Retrosynthesislearningmatter-mit/AtomisticSkills	176	—	~647	Automated safety check: Pass	MIT	3 days ago
MolecodeAtomFlow-AI/MoleCode	306	—	~1.9k	Automated safety check: Pass	MIT	4 mo ago
Drug DiscoveryTommy-yw/RunbookHermes	546	1 repos	~2.3k	Automated safety check: Pass	MIT	4 mo ago
DiffDock Molecular DockingK-Dense-AI/scientific-agent-skills	48k	1 repos	~3k	Automated safety check: Notes	MIT	6 days ago
Biomedical Analysis Dispatchxjtulyc/MedgeClaw	617	1 repos	~2k	Automated safety check: Pass	None	7 mo ago

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Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity.
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Tooluniverse Disease Research
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Tooluniverse Drug Repurposing
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Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies.
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Tooluniverse Expression Data Retrieval
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Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports.
1.1k GitHub starsUsed in 2 repos~2.6k tokens
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Tooluniverse Gene Enrichment
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Questions about Tooluniverse Binder Discovery

What does Tooluniverse Binder Discovery do?

Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches. Tooluniverse Binder Discovery is an agent skill from wu-yc/LabClaw. Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches.

When should I use Tooluniverse Binder Discovery?

Tooluniverse Binder Discovery fits situations like: users ask to find small molecules for a target; identify novel binders; perform virtual screening; need hit-to-lead compound identification.

How do I install Tooluniverse Binder Discovery in Claude Code?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-binder-discovery -a claude-code`. Or copy the skill folder (skills/pharma/tooluniverse-binder-discovery in wu-yc/LabClaw) into .claude/skills/tooluniverse-binder-discovery in your project. Claude Code loads it when a task matches its description.

How do I install Tooluniverse Binder Discovery in Codex?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-binder-discovery -a codex`. Or copy the skill folder (skills/pharma/tooluniverse-binder-discovery in wu-yc/LabClaw) into .agents/skills/tooluniverse-binder-discovery in your project. Codex loads it when a task matches its description.

Can I use Tooluniverse Binder Discovery 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 wu-yc/LabClaw --skill tooluniverse-binder-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tooluniverse-binder-discovery, .gemini/skills/tooluniverse-binder-discovery, .github/skills/tooluniverse-binder-discovery and .opencode/skills/tooluniverse-binder-discovery in your project.

What does Tooluniverse Binder Discovery need to run?

Going by SKILL.md and its folder, Tooluniverse Binder Discovery needs credentials named NVIDIA_API_KEY. Our summary lists: Python 3.

Does Tooluniverse Binder Discovery 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 Tooluniverse Binder Discovery 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 Tooluniverse Binder Discovery use?

No licence was found for Tooluniverse Binder Discovery or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Tooluniverse Binder Discovery use?

About 12k tokens (SKILL.md is roughly 46k 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 Tooluniverse Binder Discovery?

Skills that share tags, products or a category with Tooluniverse Binder Discovery: Drug Retrosynthesis (learningmatter-mit/AtomisticSkills, 176 stars), Molecode (AtomFlow-AI/MoleCode, 306 stars), Drug Discovery (Tommy-yw/RunbookHermes, 546 stars) and DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooluniverse Binder Discovery?

wu-yc (a GitHub user) maintains it in wu-yc/LabClaw, which has 1,055 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on March 19, 2026.

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

Install Tooluniverse Binder Discovery

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

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

More from wu-yc/LabClaw

Related

Questions about Tooluniverse Binder Discovery