Molecode
AtomFlow-AI/MoleCode
A skill your agent uses for deterministic molecule understanding, graph-level editing, generation, and validation with MoleCode — an explicit Mermaid graph in which every atom and bond is a typed…
Look up chemicals in CAS Common Chemistry (name, CAS RN, SMILES, InChI; ~500k compounds)
$ npx skills add lamm-mit/scienceclaw --skill cas -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw cas --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/cas .claude/skills/cas && 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 "cas" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/cas into .claude/skills/cas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cas", 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/casType 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 cas -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw cas --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/cas .agents/skills/cas && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cas" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/cas into .agents/skills/cas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cas", 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 cas -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw cas --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/cas .cursor/skills/cas && 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 "cas" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/cas into .cursor/skills/cas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cas", 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/cas--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 cas -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw cas --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/cas .gemini/skills/cas && 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 "cas" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/cas into .gemini/skills/cas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cas", 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 casInstalls 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 cas -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/cas .github/skills/cas && 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 "cas" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/cas into .github/skills/cas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cas", 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 cas -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 cas --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/cas .opencode/skills/cas && 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 "cas" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/cas into .opencode/skills/cas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cas", 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.
casLook up chemicals in CAS Common Chemistry (name, CAS RN, SMILES, InChI; ~500k compounds)
Cas is an agent skill from lamm-mit/scienceclaw. Look up chemicals in CAS Common Chemistry (name, CAS RN, SMILES, InChI; ~500k compounds)
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/cas-common-chemistry-api.md` and `scripts/cas_search.py`).
It sits in Research & Science, covering Drug discovery and cheminformatics. The licence is Apache-2.0.
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.
Links to these hosts (documentation or services it may open):
cas.orgcommonchemistry.cas.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
CAS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cas loads about 504 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 23 tokens; SKILL.md has 167 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). 167 words, ~504 tokens.
.claude/skills/cas/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Query CAS Common Chemistry for compound names, CAS Registry Numbers®, molecular formula, mass, SMILES, InChI, and experimental properties. Covers nearly 500,000 compounds (CC BY-NC 4.0).
API access: Request a free API key at https://www.cas.org/services/commonchemistry-api. The script works without a key for public endpoints; if CAS requires a key, set CAS_API_KEY or use ~/.scienceclaw/cas_config.json.
aspirin*), CAS RN, SMILES, or InChI/InChIKeyreferences/cas-common-chemistry-api.mdpython3 {baseDir}/scripts/cas_search.py --query "aspirin"python3 {baseDir}/scripts/cas_search.py --cas "50-78-2"python3 {baseDir}/scripts/cas_search.py --query "atrazin*"python3 {baseDir}/scripts/cas_search.py --query "caffeine" --format json| Parameter | Description | Default |
|---|---|---|
--query | Name, SMILES, or InChI (name supports trailing *) | - |
--cas | CAS Registry Number (e.g. 50-78-2) | - |
--max-results | Max search results | 10 |
--format | summary, detailed, json | summary |
CAS_API_KEY or config file if CAS requires authentication© 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 3 other files (scripts, references) in skills/cas of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Cas 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 |
|---|---|---|---|---|---|---|
| Cas this skilllamm-mit/scienceclaw | 244 | — | ~504 | Automated safety check: Pass | Apache-2.0 | |
| MolecodeAtomFlow-AI/MoleCode | 305 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Drug DiscoveryTommy-yw/RunbookHermes | 546 | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| DiffDock Molecular DockingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3k | Automated safety check: Notes | MIT | |
| Biomedical Analysis Dispatchxjtulyc/MedgeClaw | 617 | 1 repos | ~2k | Automated safety check: Pass | None | |
| Edu Chem Reactionwy51ai/edulab | 1.4k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 |
AtomFlow-AI/MoleCode
A skill your agent uses for deterministic molecule understanding, graph-level editing, generation, and validation with MoleCode — an explicit Mermaid graph in which every atom and bond is a typed…
Tommy-yw/RunbookHermes
Pharmaceutical research assistant for drug discovery workflows.
K-Dense-AI/scientific-agent-skills
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.
xjtulyc/MedgeClaw
Routes bioinformatics, drug discovery, clinical and multi-omics tasks from a chat interface to Claude Code sessions running K-Dense scientific skills, with a live dashboard per task.
wy51ai/edulab
把一个化学反应做成自包含的微观 3D 交互演示网页:左/上为 Three.js 可交互分子动画 (拖滑块看断键·成键·原子重组,分步高亮),右为 KaTeX 反应方程 + 分步讲解 + 原子守恒计数 + 可选能量-反应进程曲线。支持三入口——给定文字反应/方程、随机出题、上传图片识别后演示。
locbp-uzh/biopipelines
Design and run computational protein and ligand workflows on a GPU: binder and enzyme design, de novo backbone generation, inverse folding and sequence redesign, structure prediction, protein-ligand…
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.
Categories
Look up chemicals in CAS Common Chemistry (name, CAS RN, SMILES, InChI; ~500k compounds). Cas is an agent skill from lamm-mit/scienceclaw.
Cas fits situations like: tasks that involve Drug discovery and cheminformatics.
Run `npx skills add lamm-mit/scienceclaw --skill cas -a claude-code`. Or copy the skill folder (skills/cas in lamm-mit/scienceclaw) into .claude/skills/cas in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill cas -a codex`. Or copy the skill folder (skills/cas in lamm-mit/scienceclaw) into .agents/skills/cas 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 cas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cas, .gemini/skills/cas, .github/skills/cas and .opencode/skills/cas in your project.
Going by SKILL.md and its folder, Cas needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named CAS_API_KEY. Our summary lists: Python 3; A credential in CAS_API_KEY.
SKILL.md names 2 domains. As links in the text: cas.org and commonchemistry.cas.org. 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.
Cas 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 504 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 839 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cas: Molecode (AtomFlow-AI/MoleCode, 305 stars), Drug Discovery (Tommy-yw/RunbookHermes, 546 stars), DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars) and Biomedical Analysis Dispatch (xjtulyc/MedgeClaw, 617 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.