Compute supply chain risk metrics for critical minerals — HHI concentration, net import reliance, top-3 share, and trend analysis
$ npx skills add lamm-mit/scienceclaw --skill supply-chain-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw supply-chain-analysis --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/supply-chain-analysis .claude/skills/supply-chain-analysis && 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 "supply-chain-analysis" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/supply-chain-analysis into .claude/skills/supply-chain-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-analysis", 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/supply-chain-analysisType 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 supply-chain-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw supply-chain-analysis --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/supply-chain-analysis .agents/skills/supply-chain-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "supply-chain-analysis" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/supply-chain-analysis into .agents/skills/supply-chain-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-analysis", 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 supply-chain-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw supply-chain-analysis --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/supply-chain-analysis .cursor/skills/supply-chain-analysis && 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 "supply-chain-analysis" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/supply-chain-analysis into .cursor/skills/supply-chain-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-analysis", 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/supply-chain-analysis--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 supply-chain-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw supply-chain-analysis --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/supply-chain-analysis .gemini/skills/supply-chain-analysis && 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 "supply-chain-analysis" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/supply-chain-analysis into .gemini/skills/supply-chain-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-analysis", 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 supply-chain-analysisInstalls 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 supply-chain-analysis -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/supply-chain-analysis .github/skills/supply-chain-analysis && 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 "supply-chain-analysis" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/supply-chain-analysis into .github/skills/supply-chain-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-analysis", 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 supply-chain-analysis -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 supply-chain-analysis --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/supply-chain-analysis .opencode/skills/supply-chain-analysis && 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 "supply-chain-analysis" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/supply-chain-analysis into .opencode/skills/supply-chain-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supply-chain-analysis", 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.
supply-chain-analysisCompute supply chain risk metrics for critical minerals — HHI concentration, net import reliance, top-3 share, and trend analysis
Supply Chain Analysis is an agent skill from lamm-mit/scienceclaw. Compute supply chain risk metrics for critical minerals — HHI concentration, net import reliance, top-3 share, and trend analysis
Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/supply_chain_metrics.py`).
It sits in Security, covering Supply chain security and Forecasting and time series. 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.
Supply Chain Analysis loads about 675 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 181 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). 181 words, ~675 tokens.
.claude/skills/supply-chain-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Compute supply chain risk metrics for critical minerals including the Herfindahl-Hirschman Index (HHI) for production concentration, net import reliance (NIR), top-3 country share, and multi-year trend analysis. Combines data from BGS World Mineral Statistics and USGS Mineral Commodity Summaries.
python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Lithium"python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Cobalt" --metrics hhi,nir,top3sharepython3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Rare earths" --metrics trend --year-from 2015python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Graphite" --format json| Parameter | Description | Default |
|---|---|---|
--commodity | Commodity name (BGS naming) | Required |
--year | Target year for analysis | latest available |
--year-from | Start year for trend analysis | - |
--metrics | Comma-separated metrics: hhi, nir, top3share, trend, all | all |
--format | Output format: summary, json | summary |
| Metric | Description | Risk Thresholds |
|---|---|---|
| HHI | Herfindahl-Hirschman Index (0-10000) | <1500 low, 1500-2500 moderate, >2500 high |
| NIR | US Net Import Reliance (%) | <25% low, 25-75% moderate, >75% high |
| Top-3 Share | Combined share of top 3 producers | <50% low, 50-75% moderate, >75% high |
| Trend | Year-over-year production change | Increasing/stable/declining |
# Comprehensive lithium supply chain risk assessment
python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Lithium" --format json
# Cobalt concentration analysis
python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Cobalt" --metrics hhi,top3share
# Rare earth NIR trend
python3 {baseDir}/scripts/supply_chain_metrics.py --commodity "Rare earths" --metrics nir,trend --year-from 2018bgs-production skill© 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/supply-chain-analysis of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Supply Chain Analysis 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 |
|---|---|---|---|---|---|---|
| Supply Chain Analysis this skilllamm-mit/scienceclaw | 244 | — | ~675 | Automated safety check: Pass | Apache-2.0 | |
| Detecting Data And Model Poisoningmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 480 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Eu CraSushegaad/Claude-Skills-Governance-Risk-and-Compliance | 942 | 1 repos | ~4k | Automated safety check: Pass | MIT | |
| Kesekit Checkcdppcorp/KESE-KIT | 361 | — | ~1.3k | Automated safety check: Pass | MIT |
mukul975/Anthropic-Cybersecurity-Skills
Identify poisoned training data and backdoored ML models across the pipeline using IBM's Adversarial Robustness Toolbox (activation clustering, spectral signatures, trigger reconstruction), Cleanlab…
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
yan-labs/serenity-aleabitoreddit
Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert EU Cyber Resilience Act (CRA) advisor for Regulation (EU) 2024/2847 — mandatory cybersecurity and vulnerability handling requirements for all products with digital elements (PDEs) sold in the…
cdppcorp/KESE-KIT
Run a pre-deployment security compliance checklist based on KISA guidelines.
cdxgen/cdxgen
Runs supply-chain risk analysis on CycloneDX BOMs with cdx-audit predictive auditing and cdxgen --bom-audit embedded rules, covering npm and PyPI package compromise posture, CI permission risk…
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
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Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
lamm-mit/scienceclaw
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Generate comprehensive disease research reports using 100+ ToolUniverse tools.
Categories
Compute supply chain risk metrics for critical minerals — HHI concentration, net import reliance, top-3 share, and trend analysis. Supply Chain Analysis is an agent skill from lamm-mit/scienceclaw.
Supply Chain Analysis fits situations like: tasks that involve Supply chain security; tasks that involve Forecasting and time series.
Run `npx skills add lamm-mit/scienceclaw --skill supply-chain-analysis -a claude-code`. Or copy the skill folder (skills/supply-chain-analysis in lamm-mit/scienceclaw) into .claude/skills/supply-chain-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill supply-chain-analysis -a codex`. Or copy the skill folder (skills/supply-chain-analysis in lamm-mit/scienceclaw) into .agents/skills/supply-chain-analysis 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 supply-chain-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/supply-chain-analysis, .gemini/skills/supply-chain-analysis, .github/skills/supply-chain-analysis and .opencode/skills/supply-chain-analysis in your project.
Going by SKILL.md and its folder, Supply Chain Analysis 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.
Supply Chain Analysis 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 675 tokens (SKILL.md is roughly 2.7k 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 Supply Chain Analysis: Detecting Data And Model Poisoning (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 480 stars) and Eu Cra (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 942 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.
