Cantera Ignition Delay
K-Dense-AI/scientific-agent-skills
Runs Cantera constant-volume or constant-pressure ignition simulations and reports temperature-based ignition delay with mechanism provenance and checks.
Materials Project lookup and structure analysis (pymatgen, ASE)
Install Materials
$ npx skills add lamm-mit/scienceclaw --skill materials -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw materials --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/materials .claude/skills/materials && 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 "materials" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/materials into .claude/skills/materials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "materials", 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/materialsType 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 materials -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw materials --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/materials .agents/skills/materials && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "materials" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/materials into .agents/skills/materials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "materials", 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 materials -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw materials --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/materials .cursor/skills/materials && 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 "materials" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/materials into .cursor/skills/materials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "materials", 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/materials--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 materials -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw materials --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/materials .gemini/skills/materials && 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 "materials" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/materials into .gemini/skills/materials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "materials", 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 materialsInstalls 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 materials -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/materials .github/skills/materials && 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 "materials" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/materials into .github/skills/materials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "materials", 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 materials -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 materials --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/materials .opencode/skills/materials && 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 "materials" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/materials into .opencode/skills/materials/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "materials", 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
materials- GitHub stars
- 244
- Token cost
- ~444 tokens
- SKILL.md length
- 143 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 85
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Materials Project lookup and structure analysis (pymatgen, ASE)
- Tasks that involve Physical and earth sciences
- SKILL.md covers Prerequisites, Overview, Usage and Parameters, plus 1 more section
- Runs Python scripts from its folder; calls python3 and pip; needs MP_API_KEY
What it does
Materials is an agent skill from lamm-mit/scienceclaw. Materials Project lookup and structure analysis (pymatgen, ASE)
Its SKILL.md is about 440 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/materials-project-api.md` and `scripts/materials_lookup.py`).
It sits in Research & Science, covering Physical and earth sciences. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Physical and earth sciences
Example prompts
- “Use the materials skill to material Project lookup and structure analysis (pymatgen, ASE)”
- “/materials”
Requirements
- Python 3
- A credential in MP_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit ab9aba1. 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
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
materialsproject.orgnext-gen.materialsproject.orgpymatgen.orgwiki.fysik.dtu.dk
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
MP_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Materials loads about 444 tokens when it runs, and up to ~979 if it reads all its reference files. Until then it costs about 18 tokens; SKILL.md has 143 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.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 143 words, ~444 tokens.
Download SKILL.mdSave it as
.claude/skills/materials/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- materials
- description
- Materials Project lookup and structure analysis (pymatgen, ASE)
Materials Science
Look up materials from the Materials Project and run basic structure analysis. Uses pymatgen and optionally ASE.
Prerequisites
Required for full data: Install pymatgen (recommended):
pip install pymatgenNote: Without pymatgen, the script falls back to direct API calls but will only return material_id (other fields like band_gap, density, formula will be None). Install pymatgen for complete data.
Materials Project API: Free registration at materialsproject.org. Get an API key from the next-gen API dashboard. Set MP_API_KEY or add to ~/.scienceclaw/materials_config.json as {"api_key": "your_key"}. See references/materials-project-api.md for details.
Overview
- Materials Project — Look up material by ID (e.g. mp-149), get formula, band gap, density
- Structure — Parse CIF/POSCAR, basic info (lattice, formula)
Usage
Look up by Materials Project ID
python3 {baseDir}/scripts/materials_lookup.py --mp-id mp-149Look up with API key in env
MP_API_KEY=your_key python3 {baseDir}/scripts/materials_lookup.py --mp-id mp-149JSON output
python3 {baseDir}/scripts/materials_lookup.py --mp-id mp-149 --format jsonParameters
| Parameter | Description |
|---|---|
--mp-id | Materials Project ID (e.g. mp-149 for Si) |
--format | summary | json |
References
© 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
Files
SKILL.md and 3 other files (scripts, references) in skills/materials of lamm-mit/scienceclaw.
- SKILL.md
- references/materials-project-api.md
- scripts/__pycache__/materials_lookup.cpython-313.pyc
- scripts/materials_lookup.py
Open the folder on GitHubat commit ab9aba1
Compare with similar skills
Materials 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 |
|---|---|---|---|---|---|---|
| Materials this skilllamm-mit/scienceclaw | 244 | — | ~444 | Automated safety check: Pass | Apache-2.0 | |
| Cantera Ignition DelayK-Dense-AI/scientific-agent-skills | 48k | 2 repos | ~2.2k | Automated safety check: Pass | MIT | |
| AstropyzLanqing/codex-claude-academic-skills | 4.6k | 14 repos | ~2.9k | Automated safety check: Pass | BSD-3-Clause | |
| PymatgenzLanqing/codex-claude-academic-skills | 4.6k | 12 repos | ~5k | Automated safety check: Pass | MIT | |
| Weathertrpc-group/trpc-agent-go | 1.8k | 9 repos | ~591 | Automated safety check: Pass | Apache-2.0 | |
| Pymol VisualizationChatMol/ChatMol | 372 | — | ~1.2k | Automated safety check: Pass | MIT |
Similar skills
Astropy
zLanqing/codex-claude-academic-skills
Comprehensive Python library for astronomy and astrophysics.
Pymatgen
zLanqing/codex-claude-academic-skills
Materials science toolkit. An agent skill from zLanqing/codex-claude-academic-skills.
Weather
trpc-group/trpc-agent-go
Get current weather and forecasts via wttr.in or Open-Meteo.
Pymol Visualization
ChatMol/ChatMol
Generate publication-quality molecular visualization images using PyMOL.
Review
Muuuun/luxas
Write domain-authentic review articles that synthesize rather than stack.
More from lamm-mit/scienceclaw
All 85 skills in this repoFred Economic Data
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
Drug Research
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
Imaging Data Commons
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
Rowan
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
Infographics
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
Disease Research
lamm-mit/scienceclaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Related
Categories
Questions about Materials
What does Materials do?
Materials Project lookup and structure analysis (pymatgen, ASE). Materials is an agent skill from lamm-mit/scienceclaw.
When should I use Materials?
Materials fits situations like: tasks that involve Physical and earth sciences.
How do I install Materials in Claude Code?
Run `npx skills add lamm-mit/scienceclaw --skill materials -a claude-code`. Or copy the skill folder (skills/materials in lamm-mit/scienceclaw) into .claude/skills/materials in your project. Claude Code loads it when a task matches its description.
How do I install Materials in Codex?
Run `npx skills add lamm-mit/scienceclaw --skill materials -a codex`. Or copy the skill folder (skills/materials in lamm-mit/scienceclaw) into .agents/skills/materials in your project. Codex loads it when a task matches its description.
Can I use Materials 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 lamm-mit/scienceclaw --skill materials -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/materials, .gemini/skills/materials, .github/skills/materials and .opencode/skills/materials in your project.
What does Materials need to run?
Going by SKILL.md and its folder, Materials needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named MP_API_KEY. Our summary lists: Python 3; A credential in MP_API_KEY.
Does Materials access the network?
SKILL.md names 4 domains. As links in the text: materialsproject.org, next-gen.materialsproject.org, pymatgen.org and wiki.fysik.dtu.dk. This is read from the text; nothing was executed.
Is Materials 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Materials use?
Materials 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.
How many tokens does Materials use?
About 444 tokens (SKILL.md is roughly 1.8k 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 535 tokens, read only when the agent opens those files.
What are the alternatives to Materials?
Skills that share tags, products or a category with Materials: Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars), Astropy (zLanqing/codex-claude-academic-skills, 4.6k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.6k stars) and Weather (trpc-group/trpc-agent-go, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Materials?
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.