Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Search DrugBank comprehensive drug database with natural language queries.
$ npx skills add wu-yc/LabClaw --skill drugbank-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wu-yc/LabClaw drugbank-search --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/drugbank-search .claude/skills/drugbank-search && 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 "drugbank-search" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/drugbank-search into .claude/skills/drugbank-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugbank-search", 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/drugbank-searchType 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 drugbank-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wu-yc/LabClaw drugbank-search --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/drugbank-search .agents/skills/drugbank-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "drugbank-search" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/drugbank-search into .agents/skills/drugbank-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugbank-search", 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 drugbank-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wu-yc/LabClaw drugbank-search --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/drugbank-search .cursor/skills/drugbank-search && 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 "drugbank-search" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/drugbank-search into .cursor/skills/drugbank-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugbank-search", 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/drugbank-search--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 drugbank-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wu-yc/LabClaw drugbank-search --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/drugbank-search .gemini/skills/drugbank-search && 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 "drugbank-search" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/drugbank-search into .gemini/skills/drugbank-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugbank-search", 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 drugbank-searchInstalls 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 drugbank-search -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/drugbank-search .github/skills/drugbank-search && 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 "drugbank-search" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/drugbank-search into .github/skills/drugbank-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugbank-search", 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 drugbank-search -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 drugbank-search --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/drugbank-search .opencode/skills/drugbank-search && 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 "drugbank-search" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/pharma/drugbank-search into .opencode/skills/drugbank-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drugbank-search", 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.
drugbank-searchSearch DrugBank comprehensive drug database with natural language queries.
Drugbank Search is an agent skill from wu-yc/LabClaw. Search DrugBank comprehensive drug database with natural language queries. Drug mechanisms, interactions, and safety data powered by Valyu.
Its SKILL.md is about 1.3k 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. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists). The licence is MIT.
2 steps, taken from the first numbered list 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.
Shell commands in SKILL.md call:
jqFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.valyu.aidrugbank.comAlso links to:
platform.valyu.aidocs.valyu.aiFrom 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.
Drugbank Search loads about 1.3k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 320 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.
The full file from wu-yc/LabClaw at commit df37802, republished under its MIT licence (© wu-yc). 320 words, ~1,251 tokens.
.claude/skills/drugbank-search/SKILL.md (or your agent's skills folder).Search the complete DrugBank database of drug information including mechanisms of action, interactions, targets, and pharmacology using natural language queries powered by Valyu's semantic search API.
The scripts/search commands in this documentation are relative to this skill's installation directory.
Before running any command, locate the script using:
DRUGBANK_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/drugbank-search/*/scripts/*" -type f 2>/dev/null | head -1)Then use the full path for all commands:
$DRUGBANK_SCRIPT "ACE inhibitors" 15When you run a search and receive "setup_required": true, follow this flow:
Ask the user for their API key: "To search DrugBank, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"
Once the user provides the key, run:
scripts/search setup <api-key>Retry the original search.
{
"success": true,
"type": "drugbank_search",
"query": "ACE inhibitors",
"result_count": 10,
"results": [
{
"title": "Drug Name",
"url": "https://drugbank.com/...",
"content": "Drug information, mechanism, interactions...",
"source": "drugbank",
"relevance_score": 0.95,
"images": ["https://example.com/structure.png"]
}
],
"cost": 0.025
}# Get drug names
scripts/search "query" 10 | jq -r '.results[].title'
# Get URLs
scripts/search "query" 10 | jq -r '.results[].url'
# Extract full content
scripts/search "query" 10 | jq -r '.results[].content'# Find drug details
scripts/search "metformin pharmacokinetics" 50# Search for interactions
scripts/search "CYP3A4 inhibitor drug interactions" 20# Find mechanism data
scripts/search "selective serotonin reuptake inhibitors mechanism" 15# Search for drug targets
scripts/search "drugs targeting BCR-ABL fusion protein" 25All commands return JSON with success field:
{
"success": false,
"error": "Error message"
}Exit codes:
0 - Success1 - Error (check JSON for details)https://api.valyu.ai/v1/searchscripts/
├── search # Bash wrapper
└── search.mjs # Node.js CLIDirect API calls using Node.js built-in fetch(), zero external dependencies.
If you're building an AI project and want to integrate DrugBank Search directly into your application, use the Valyu SDK:
from valyu import Valyu
client = Valyu(api_key="your-api-key")
response = client.search(
query="your search query here",
included_sources=["valyu/valyu-drugbank"],
max_results=20
)
for result in response["results"]:
print(f"Title: {result['title']}")
print(f"URL: {result['url']}")
print(f"Content: {result['content'][:500]}...")import { Valyu } from "valyu-js";
const client = new Valyu("your-api-key");
const response = await client.search({
query: "your search query here",
includedSources: ["valyu/valyu-drugbank"],
maxResults: 20
});
response.results.forEach((result) => {
console.log(`Title: ${result.title}`);
console.log(`URL: ${result.url}`);
console.log(`Content: ${result.content.substring(0, 500)}...`);
});See the Valyu docs for full integration examples and SDK reference.
© wu-yc, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/pharma/drugbank-search 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.
Drugbank Search 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 |
|---|---|---|---|---|---|---|
| Drugbank Search this skillwu-yc/LabClaw | 1.1k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
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.
Categories
Search DrugBank comprehensive drug database with natural language queries. Drugbank Search is an agent skill from wu-yc/LabClaw. Search DrugBank comprehensive drug database with natural language queries.
Drugbank Search fits situations like: research & Science work in your project.
Run `npx skills add wu-yc/LabClaw --skill drugbank-search -a claude-code`. Or copy the skill folder (skills/pharma/drugbank-search in wu-yc/LabClaw) into .claude/skills/drugbank-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wu-yc/LabClaw --skill drugbank-search -a codex`. Or copy the skill folder (skills/pharma/drugbank-search in wu-yc/LabClaw) into .agents/skills/drugbank-search 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 drugbank-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/drugbank-search, .gemini/skills/drugbank-search, .github/skills/drugbank-search and .opencode/skills/drugbank-search in your project.
Going by SKILL.md and its folder, Drugbank Search needs the command-line tools its instructions call (jq). Our summary lists: Python 3; Node.js.
SKILL.md names 4 domains. In commands or code: api.valyu.ai and drugbank.com; the agent is likely to contact these when it follows the instructions. As links in the text: platform.valyu.ai and docs.valyu.ai. 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.
Drugbank Search is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5k 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 Drugbank Search: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k 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.