Product Lens
affaan-m/ECC
Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring…
Comprehensive computational validation of drug targets for early-stage drug discovery.
$ npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-drug-target-validation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pharma/tooluniverse-drug-target-validation .claude/skills/tooluniverse-drug-target-validation && rm -rf skills-srcUse ~/.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/
Install the "tooluniverse-drug-target-validation" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-drug-target-validation into .claude/skills/tooluniverse-drug-target-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-drug-target-validation", 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 install https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-drug-target-validationType 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.
$ npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-drug-target-validation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/pharma/tooluniverse-drug-target-validation .agents/skills/tooluniverse-drug-target-validation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tooluniverse-drug-target-validation" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-drug-target-validation into .agents/skills/tooluniverse-drug-target-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-drug-target-validation", 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.
$ npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-drug-target-validation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/pharma/tooluniverse-drug-target-validation .cursor/skills/tooluniverse-drug-target-validation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tooluniverse-drug-target-validation" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-drug-target-validation into .cursor/skills/tooluniverse-drug-target-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-drug-target-validation", 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 https://github.com/wu-yc/LabClaw.git --path skills/pharma/tooluniverse-drug-target-validation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-drug-target-validation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/pharma/tooluniverse-drug-target-validation .gemini/skills/tooluniverse-drug-target-validation && rm -rf skills-srcUse ~/.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/
Install the "tooluniverse-drug-target-validation" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-drug-target-validation into .gemini/skills/tooluniverse-drug-target-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-drug-target-validation", 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.
$ gh skill install wu-yc/LabClaw tooluniverse-drug-target-validationInstalls 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).
$ npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/pharma/tooluniverse-drug-target-validation .github/skills/tooluniverse-drug-target-validation && rm -rf skills-srcUse ~/.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/
Install the "tooluniverse-drug-target-validation" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-drug-target-validation into .github/skills/tooluniverse-drug-target-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-drug-target-validation", 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.
$ npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wu-yc/LabClaw tooluniverse-drug-target-validation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/pharma/tooluniverse-drug-target-validation .opencode/skills/tooluniverse-drug-target-validation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tooluniverse-drug-target-validation" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/tooluniverse-drug-target-validation into .opencode/skills/tooluniverse-drug-target-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-drug-target-validation", 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.
tooluniverse-drug-target-validationComprehensive computational validation of drug targets for early-stage drug discovery.
Tooluniverse Drug Target Validation is an agent skill from wu-yc/LabClaw. Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X…
Its SKILL.md is about 9.9k 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 Product & Project Management, covering Feature launches and release readiness, Drug discovery and cheminformatics and Prioritization frameworks. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit df37802. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tooluniverse Drug Target Validation loads about 9.9k tokens when it runs. Until then it costs about 145 tokens; SKILL.md has 1,314 words of instructions outside code blocks.
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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,314 words (~9,941 tokens).
“Validate drug target hypotheses using multi-dimensional computational evidence before committing to wet-lab work. Produces a quantitative Target Validation Score (0-100) with priority tier classification and GO/NO-GO recommendation.”
Just SKILL.md in skills/pharma/tooluniverse-drug-target-validation of wu-yc/LabClaw.
Open the folder on GitHubat commit df37802
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.
Tooluniverse Drug Target Validation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tooluniverse Drug Target Validation this skillwu-yc/LabClaw | 1.1k | 2 repos | ~9.9k | Automated safety check: Pass | None | |
| Product Lensaffaan-m/ECC | 277k | 2 repos | ~841 | Automated safety check: Pass | MIT | |
| Medchemaipoch/medical-research-skills | 1.9k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Test Planningpetrkindlmann/qa-skills | 170 | — | ~4.2k | Automated safety check: Pass | MIT | |
| Repo Genomeruvnet/metaharness | 696 | — | ~772 | Automated safety check: Pass | MIT | |
| Open Targets PlatformQSong-github/DrugClaw | 116 | 1 repos | ~601 | Automated safety check: Pass | None |
affaan-m/ECC
Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring…
aipoch/medical-research-skills
Medicinal chemistry screening filters for compound prioritization; use when you need to apply drug-likeness rules, PAINS/structural alerts, and complexity metrics to triage or optimize libraries.
petrkindlmann/qa-skills
Build a single sprint or release test plan. An agent skill from petrkindlmann/qa-skills.
ruvnet/metaharness
7-section readiness scorecard for a LOCAL repo. An agent skill from ruvnet/metaharness.
QSong-github/DrugClaw
Query the Open Targets Platform for drug-target-disease associations.
ClawBio/ClawBio
Evidence-grounded target validation scoring with GO/NO-GO decisions for drug discovery campaigns
wu-yc/LabClaw
Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment.
wu-yc/LabClaw
Search and retrieve clinical practice guidelines across 12+ authoritative sources including NICE, WHO, ADA, AHA/ACC, NCCN, SIGN, CPIC, CMA, CTFPHC, GIN, MAGICapp, PubMed, EuropePMC, TRIP, and…
wu-yc/LabClaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
wu-yc/LabClaw
Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies.
wu-yc/LabClaw
Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports.
wu-yc/LabClaw
Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools.
Comprehensive computational validation of drug targets for early-stage drug discovery. Tooluniverse Drug Target Validation is an agent skill from wu-yc/LabClaw. Comprehensive computational validation of drug targets for early-stage drug discovery.
Tooluniverse Drug Target Validation fits situations like: users ask about target validation; druggability assessment; target prioritization; is X a good drug target for Y?.
Run `npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a claude-code`. Or copy the skill folder (skills/pharma/tooluniverse-drug-target-validation in wu-yc/LabClaw) into .claude/skills/tooluniverse-drug-target-validation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wu-yc/LabClaw --skill tooluniverse-drug-target-validation -a codex`. Or copy the skill folder (skills/pharma/tooluniverse-drug-target-validation in wu-yc/LabClaw) into .agents/skills/tooluniverse-drug-target-validation in your project. Codex loads it when a task matches its description.
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-drug-target-validation -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-drug-target-validation, .gemini/skills/tooluniverse-drug-target-validation, .github/skills/tooluniverse-drug-target-validation and .opencode/skills/tooluniverse-drug-target-validation in your project.
SKILL.md names no scripts, command-line tools or credentials: Tooluniverse Drug Target Validation is instructions for the agent only. Our summary lists: Python 3.
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.
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.
No licence was found for Tooluniverse Drug Target Validation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 9.9k tokens (SKILL.md is roughly 40k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tooluniverse Drug Target Validation: Product Lens (affaan-m/ECC, 277k stars), Medchem (aipoch/medical-research-skills, 1.9k stars), Test Planning (petrkindlmann/qa-skills, 170 stars) and Repo Genome (ruvnet/metaharness, 696 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.