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.
Search OSTI.gov for DOE technical reports on critical minerals, energy, and materials science
$ npx skills add lamm-mit/scienceclaw --skill osti-database -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw osti-database --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/osti-database .claude/skills/osti-database && 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 "osti-database" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/osti-database into .claude/skills/osti-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "osti-database", 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/osti-databaseType 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 osti-database -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw osti-database --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/osti-database .agents/skills/osti-database && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "osti-database" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/osti-database into .agents/skills/osti-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "osti-database", 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 osti-database -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw osti-database --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/osti-database .cursor/skills/osti-database && 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 "osti-database" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/osti-database into .cursor/skills/osti-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "osti-database", 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/osti-database--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 osti-database -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw osti-database --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/osti-database .gemini/skills/osti-database && 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 "osti-database" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/osti-database into .gemini/skills/osti-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "osti-database", 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 osti-databaseInstalls 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 osti-database -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/osti-database .github/skills/osti-database && 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 "osti-database" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/osti-database into .github/skills/osti-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "osti-database", 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 osti-database -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 osti-database --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/osti-database .opencode/skills/osti-database && 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 "osti-database" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/osti-database into .opencode/skills/osti-database/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "osti-database", 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.
osti-databaseSearch OSTI.gov for DOE technical reports on critical minerals, energy, and materials science
Osti Database is an agent skill from lamm-mit/scienceclaw. Search OSTI.gov for DOE technical reports on critical minerals, energy, and materials science
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/osti_search.py`).
It sits in Research & Science, covering Physical and earth sciences. 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 1 file 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.
Osti Database loads about 804 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 211 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). 211 words, ~804 tokens.
.claude/skills/osti-database/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Search the U.S. Department of Energy's Office of Scientific and Technical Information (OSTI.gov) for technical reports, journal articles, and conference papers. Covers 1,100+ DOE-funded documents across critical mineral categories including rare earth elements, lithium, cobalt, nickel, copper, gallium, germanium, and graphite.
python3 {baseDir}/scripts/osti_search.py --query "rare earth separation"python3 {baseDir}/scripts/osti_search.py --query "extraction" --commodity HREEpython3 {baseDir}/scripts/osti_search.py --query "lithium recovery" --year-from 2020 --year-to 2025python3 {baseDir}/scripts/osti_search.py --query "critical minerals" --product-type "Technical Report"python3 {baseDir}/scripts/osti_search.py --query "cobalt supply chain" --format json --limit 20| Parameter | Description | Default |
|---|---|---|
--query | Search query | Required |
--commodity | Commodity filter (HREE, LREE, CO, LI, GA, GR, NI, CU, GE, OTH) | - |
--product-type | Product type filter (Technical Report, Journal Article, Conference) | - |
--year-from | Start year for publication date filter | - |
--year-to | End year for publication date filter | - |
--limit | Maximum results to return | 10 |
--sort | Sort by: relevance, date | relevance |
--format | Output format: summary, detailed, json, bibtex | summary |
| Code | Description |
|---|---|
HREE | Heavy Rare Earth Elements (Dy, Tb, Eu, Y, etc.) |
LREE | Light Rare Earth Elements (La, Ce, Nd, Pr, etc.) |
CO | Cobalt |
LI | Lithium |
GA | Gallium |
GR | Graphite |
NI | Nickel |
CU | Copper |
GE | Germanium |
OTH | Other critical minerals |
# Search for heavy rare earth separation techniques
python3 {baseDir}/scripts/osti_search.py --query "heavy rare earth separation" --commodity HREE
# Recent DOE reports on lithium extraction
python3 {baseDir}/scripts/osti_search.py --query "lithium extraction" --product-type "Technical Report" --year-from 2022 --sort date
# Critical minerals supply chain analysis with detailed output
python3 {baseDir}/scripts/osti_search.py --query "supply chain critical minerals" --format detailed --limit 15
# Get BibTeX citations for cobalt recycling papers
python3 {baseDir}/scripts/osti_search.py --query "cobalt recycling" --commodity CO --format bibtexcorpus-search skill instead© 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 1 other file (scripts) in skills/osti-database of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Osti Database 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 |
|---|---|---|---|---|---|---|
| Osti Database this skilllamm-mit/scienceclaw | 244 | — | ~804 | 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 |
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.
zLanqing/codex-claude-academic-skills
Comprehensive Python library for astronomy and astrophysics.
zLanqing/codex-claude-academic-skills
Materials science toolkit. An agent skill from zLanqing/codex-claude-academic-skills.
trpc-group/trpc-agent-go
Get current weather and forecasts via wttr.in or Open-Meteo.
ChatMol/ChatMol
Generate publication-quality molecular visualization images using PyMOL.
Muuuun/luxas
Write domain-authentic review articles that synthesize rather than stack.
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
Search OSTI.gov for DOE technical reports on critical minerals, energy, and materials science. Osti Database is an agent skill from lamm-mit/scienceclaw.
Osti Database fits situations like: tasks that involve Physical and earth sciences.
Run `npx skills add lamm-mit/scienceclaw --skill osti-database -a claude-code`. Or copy the skill folder (skills/osti-database in lamm-mit/scienceclaw) into .claude/skills/osti-database in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill osti-database -a codex`. Or copy the skill folder (skills/osti-database in lamm-mit/scienceclaw) into .agents/skills/osti-database 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 osti-database -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/osti-database, .gemini/skills/osti-database, .github/skills/osti-database and .opencode/skills/osti-database in your project.
Going by SKILL.md and its folder, Osti Database 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.
Osti Database 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 804 tokens (SKILL.md is roughly 3.2k 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 Osti Database: 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.
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.