Agent skill

Claimm Datasets

Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets

Apache-2.0Auto-check passed

Install Claimm Datasets

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw claimm-datasets --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/claimm-datasets .claude/skills/claimm-datasets && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "claimm-datasets" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/claimm-datasets into .claude/skills/claimm-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claimm-datasets", 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

$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/claimm-datasets

Type 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw claimm-datasets --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/claimm-datasets .agents/skills/claimm-datasets && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "claimm-datasets" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/claimm-datasets into .agents/skills/claimm-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claimm-datasets", 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw claimm-datasets --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/claimm-datasets .cursor/skills/claimm-datasets && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "claimm-datasets" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/claimm-datasets into .cursor/skills/claimm-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claimm-datasets", 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

$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/claimm-datasets

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw claimm-datasets --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/claimm-datasets .gemini/skills/claimm-datasets && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "claimm-datasets" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/claimm-datasets into .gemini/skills/claimm-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claimm-datasets", 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.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw claimm-datasets

Installs 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).

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/claimm-datasets .github/skills/claimm-datasets && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "claimm-datasets" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/claimm-datasets into .github/skills/claimm-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claimm-datasets", 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.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw claimm-datasets --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/claimm-datasets .opencode/skills/claimm-datasets && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "claimm-datasets" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/claimm-datasets into .opencode/skills/claimm-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claimm-datasets", 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: claimm-datasets
GitHub stars: 244
Token cost: ~566 tokens
SKILL.md length: 122 words
Files: 2 (incl. scripts)
Skills in repo: 85
Repo updated: Aug 21, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets

SKILL.md covers Usage, Parameters, Examples and Notes
Runs Python scripts from its folder; calls python3; needs EDX_API_KEY

What it does

Claimm Datasets is an agent skill from lamm-mit/scienceclaw. Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/claimm_search.py`).

The licence is Apache-2.0.

Example prompts

“/claimm-datasets”

Requirements

Python 3
A credential in EDX_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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- EDX_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Claimm Datasets loads about 566 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 122 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~27
When it runs · the whole SKILL.md, loaded when a task matches: ~566

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). 122 words, ~566 tokens.

Download SKILL.mdSave it as .claude/skills/claimm-datasets/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: claimm-datasets
description: Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets

CLAIMM Dataset Search

Search and discover datasets from NETL's Energy Data Exchange (EDX) CLAIMM collection. Provides access to 200+ US-focused critical minerals datasets including geological surveys, geochemical analyses, deposit locations, and resource assessments.

Usage

Basic search:

bash

python3 {baseDir}/scripts/claimm_search.py --query "lithium deposits"

Filter by tags:

bash

python3 {baseDir}/scripts/claimm_search.py --query "rare earth" --tags "geochemistry,geology"

Get dataset details:

bash

python3 {baseDir}/scripts/claimm_search.py --dataset-id "some-dataset-uuid"

JSON output:

bash

python3 {baseDir}/scripts/claimm_search.py --query "cobalt mining" --format json --limit 20

Parameters

Parameter	Description	Default
`--query`	Search query for dataset discovery	-
`--tags`	Comma-separated tags to filter by	-
`--dataset-id`	Specific dataset ID to retrieve details	-
`--limit`	Maximum datasets to return	20
`--format`	Output format: summary, detailed, json	summary

Examples

bash

# Search for lithium deposit datasets
python3 {baseDir}/scripts/claimm_search.py --query "lithium deposits"

# Geochemistry datasets for rare earths
python3 {baseDir}/scripts/claimm_search.py --query "rare earth" --tags "geochemistry"

# Get detailed info for a specific dataset
python3 {baseDir}/scripts/claimm_search.py --dataset-id "abc123" --format detailed

# All critical minerals datasets in JSON
python3 {baseDir}/scripts/claimm_search.py --query "critical minerals" --format json --limit 50

Notes

Requires EDX_API_KEY environment variable
CLAIMM = Critical and Lanthanide Inorganic Mineral Materials
Hosted by NETL (National Energy Technology Laboratory) on EDX platform
Datasets include CSVs, shapefiles, and metadata
US-focused but includes some international deposit data
For production statistics, use bgs-production instead

Files

SKILL.md and 1 other file (scripts) in skills/claimm-datasets of lamm-mit/scienceclaw.

SKILL.md
scripts/claimm_search.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Claimm Datasets 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.

Claimm Datasets compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Claimm Datasets this skilllamm-mit/scienceclaw	244	—	~566	Automated safety check: Pass	Apache-2.0	1 mo ago
DatasetsArize-ai/phoenix	12k	—	~1.6k	Automated safety check: Pass	Custom licence	today
Discover Pluginsruvnet/ruflo	74k	—	~2k	Automated safety check: Notes	MIT	today
Aas Discoversickn33/agentic-awesome-skills	47k	1 repos	~523	Automated safety check: Pass	MIT	yesterday
Dataset Curationwshobson/agents	40k	—	~2k	Automated safety check: Pass	MIT	3 days ago
Arize Datasetgithub/awesome-copilot	40k	1 repos	~3.9k	Automated safety check: Notes	MIT	today

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Questions about Claimm Datasets

What does Claimm Datasets do?

Search and discover NETL EDX CLAIMM datasets with 200+ US-focused critical minerals datasets. Claimm Datasets is an agent skill from lamm-mit/scienceclaw.

How do I install Claimm Datasets in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a claude-code`. Or copy the skill folder (skills/claimm-datasets in lamm-mit/scienceclaw) into .claude/skills/claimm-datasets in your project. Claude Code loads it when a task matches its description.

How do I install Claimm Datasets in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill claimm-datasets -a codex`. Or copy the skill folder (skills/claimm-datasets in lamm-mit/scienceclaw) into .agents/skills/claimm-datasets in your project. Codex loads it when a task matches its description.

Can I use Claimm Datasets 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 claimm-datasets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/claimm-datasets, .gemini/skills/claimm-datasets, .github/skills/claimm-datasets and .opencode/skills/claimm-datasets in your project.

What does Claimm Datasets need to run?

Going by SKILL.md and its folder, Claimm Datasets needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named EDX_API_KEY. Our summary lists: Python 3; A credential in EDX_API_KEY.

Does Claimm Datasets access the network?

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.

Is Claimm Datasets 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 Claimm Datasets use?

Claimm Datasets 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 Claimm Datasets use?

About 566 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Claimm Datasets?

Skills that share tags, products or a category with Claimm Datasets: Datasets (Arize-ai/phoenix, 12k stars), Discover Plugins (ruvnet/ruflo, 74k stars), Aas Discover (sickn33/agentic-awesome-skills, 47k stars) and Dataset Curation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Claimm Datasets?

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.

Install Claimm Datasets

Facts

At a glance

What it does

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

CLAIMM Dataset Search

Usage

Basic search:

Filter by tags:

Get dataset details:

JSON output:

Parameters

Examples

Notes

Files

Compare with similar skills

Similar skills

More from lamm-mit/scienceclaw

Questions about Claimm Datasets