Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Small-molecule drug lookup by exact drug name or ChEMBL ID. An agent skill from lamm-mit/scienceclaw.
$ npx skills add lamm-mit/scienceclaw --skill chembl -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw chembl --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/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/chembl .claude/skills/chembl && 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 "chembl" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/chembl into .claude/skills/chembl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chembl", 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/lamm-mit/scienceclaw/tree/main/skills/chemblType 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 lamm-mit/scienceclaw --skill chembl -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw chembl --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/chembl .agents/skills/chembl && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chembl" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/chembl into .agents/skills/chembl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chembl", 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 lamm-mit/scienceclaw --skill chembl -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw chembl --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/chembl .cursor/skills/chembl && 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 "chembl" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/chembl into .cursor/skills/chembl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chembl", 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/lamm-mit/scienceclaw.git --path skills/chembl--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 lamm-mit/scienceclaw --skill chembl -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw chembl --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/chembl .gemini/skills/chembl && 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 "chembl" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/chembl into .gemini/skills/chembl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chembl", 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 lamm-mit/scienceclaw chemblInstalls 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 lamm-mit/scienceclaw --skill chembl -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/chembl .github/skills/chembl && 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 "chembl" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/chembl into .github/skills/chembl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chembl", 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 lamm-mit/scienceclaw --skill chembl -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lamm-mit/scienceclaw chembl --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/chembl .opencode/skills/chembl && 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 "chembl" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/chembl into .opencode/skills/chembl/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chembl", 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.
chemblSmall-molecule drug lookup by exact drug name or ChEMBL ID. An agent skill from lamm-mit/scienceclaw.
Chembl is an agent skill from lamm-mit/scienceclaw. Small-molecule drug lookup by exact drug name or ChEMBL ID. Query MUST be a single drug name or ID — 1 to 3 words maximum. Valid examples: 'sotorasib', 'imatinib', 'ibrutinib', 'CHEMBL25', 'AMG 510'. If the topic is 'sotorasib KRAS G12C', the correct query is 'sotorasib'. If the topic is 'BTK inhibitors in CLL', search PubMed first to get a specific drug name, then query ChEMBL with that name. Strip protein names, mutation labels, and mechanism words — pass only the compound name.
Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/chembl_search.py`).
It sits in Research & Science, covering Academic paper search and Drug discovery and cheminformatics. It works with PubMed. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ab9aba1. 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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From 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.
Chembl loads about 841 tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 319 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); the scripts in this folder are not scanned.
The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 319 words, ~841 tokens.
.claude/skills/chembl/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Query the ChEMBL database for drug-like molecules, drug targets, and bioactivity data. ChEMBL is EBI's open database of drug discovery and medicinal chemistry.
ChEMBL searches by molecule name. Always use a specific drug name or compound identifier (e.g. sotorasib, ibrutinib, CHEMBL1873475). Do NOT pass topic phrases like "kinase inhibitor resistance" — these will return garbage results. If the topic mentions multiple drugs, pick the most specific one.
Do NOT use ChEMBL when the query is any of the following — it will return large biologics, cell therapy entries, or protein records with MW=?, logP=?, phase=-1:
Correct workflow for mechanism-based topics (e.g. PROTAC, degrader, proximity):
python3 {baseDir}/scripts/chembl_search.py --query "aspirin"python3 {baseDir}/scripts/chembl_search.py --chembl-id CHEMBL25python3 {baseDir}/scripts/chembl_search.py --query "imatinib" --format detailedpython3 {baseDir}/scripts/chembl_search.py --query "kinase inhibitor" --max-results 5| Parameter | Description | Default |
|---|---|---|
--query | Compound or drug name or search term | - |
--chembl-id | ChEMBL molecule ID (e.g. CHEMBL25) | - |
--max-results | Max results for search | 10 |
--format | Output: summary, detailed, json | summary |
© lamm-mit, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in skills/chembl of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Chembl 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 |
|---|---|---|---|---|---|---|
| Chembl this skilllamm-mit/scienceclaw | 244 | — | ~841 | Automated safety check: Pass | Apache-2.0 | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 21 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 3 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Citation Managementneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Paper Searchopenags/paper-search-mcp | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Rival Search MCPdamionrashford/RivalSearchMCP | 132 | 1 repos | ~796 | Automated safety check: Pass | MIT |
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
K-Dense-AI/claude-scientific-writer
Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.
neflibata-feng/MyArxiv-Agent
Comprehensive citation management for academic research. An agent skill from neflibata-feng/MyArxiv-Agent.
openags/paper-search-mcp
Search, download, and read academic papers from 20+ sources (arXiv, PubMed, Semantic Scholar, CrossRef, etc).
damionrashford/RivalSearchMCP
Deterministic deep research via RivalSearchMCP. An agent skill from damionrashford/RivalSearchMCP.
wp-a/nature-academic-search
A skill your agent uses when users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID, 或导出 RIS、BibTeX、NBIB、ENW;also use for…
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
lamm-mit/scienceclaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Works with
Categories
Small-molecule drug lookup by exact drug name or ChEMBL ID. An agent skill from lamm-mit/scienceclaw. Chembl is an agent skill from lamm-mit/scienceclaw. Small-molecule drug lookup by exact drug name or ChEMBL ID.
Chembl fits situations like: tasks that involve Academic paper search; tasks that involve Drug discovery and cheminformatics.
Run `npx skills add lamm-mit/scienceclaw --skill chembl -a claude-code`. Or copy the skill folder (skills/chembl in lamm-mit/scienceclaw) into .claude/skills/chembl in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill chembl -a codex`. Or copy the skill folder (skills/chembl in lamm-mit/scienceclaw) into .agents/skills/chembl 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 lamm-mit/scienceclaw --skill chembl -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chembl, .gemini/skills/chembl, .github/skills/chembl and .opencode/skills/chembl in your project.
Going by SKILL.md and its folder, Chembl needs Python for the scripts in its folder and the command-line tools its instructions call (python3). 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Chembl 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.
About 841 tokens (SKILL.md is roughly 3.4k 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 Chembl: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars), Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars) and Paper Search (openags/paper-search-mcp, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 21, 2026.
Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.