Trade Journal Analysis
HKUDS/Vibe-Trading
Reads a broker export of your trades (CSV or Excel), builds a trading profile and runs four behavior checks: disposition effect, overtrading, chasing and anchoring.
Generate comprehensive one-page commodity profiles with production, trade, risk, research, policy, and web intelligence data
$ npx skills add lamm-mit/scienceclaw --skill commodity-profile -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw commodity-profile --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/commodity-profile .claude/skills/commodity-profile && 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 "commodity-profile" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/commodity-profile into .claude/skills/commodity-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "commodity-profile", 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/commodity-profileType 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 commodity-profile -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw commodity-profile --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/commodity-profile .agents/skills/commodity-profile && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "commodity-profile" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/commodity-profile into .agents/skills/commodity-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "commodity-profile", 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 commodity-profile -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw commodity-profile --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/commodity-profile .cursor/skills/commodity-profile && 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 "commodity-profile" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/commodity-profile into .cursor/skills/commodity-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "commodity-profile", 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/commodity-profile--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 commodity-profile -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw commodity-profile --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/commodity-profile .gemini/skills/commodity-profile && 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 "commodity-profile" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/commodity-profile into .gemini/skills/commodity-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "commodity-profile", 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 commodity-profileInstalls 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 commodity-profile -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/commodity-profile .github/skills/commodity-profile && 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 "commodity-profile" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/commodity-profile into .github/skills/commodity-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "commodity-profile", 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 commodity-profile -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 commodity-profile --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/commodity-profile .opencode/skills/commodity-profile && 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 "commodity-profile" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/commodity-profile into .opencode/skills/commodity-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "commodity-profile", 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.
commodity-profileGenerate comprehensive one-page commodity profiles with production, trade, risk, research, policy, and web intelligence data
Commodity Profile is an agent skill from lamm-mit/scienceclaw. Generate comprehensive one-page commodity profiles with production, trade, risk, research, policy, and web intelligence data
Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/generate_profile.py`).
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 these keys or tokens, usually read from environment variables:
UNCOMTRADE_API_KEYSERPAPI_KEYFIRECRAWL_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Commodity Profile loads about 705 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 195 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). 195 words, ~705 tokens.
.claude/skills/commodity-profile/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Generate comprehensive commodity profiles by orchestrating calls to multiple mineral-claw skills. Profiles cover production data (BGS), trade flows (Comtrade), supply chain risk metrics, recent research, export restriction policies, and web intelligence from news/blog/government sources.
python3 {baseDir}/scripts/generate_profile.py --commodity "Lithium"python3 {baseDir}/scripts/generate_profile.py --commodity "Cobalt" --sections production,risk,intelpython3 {baseDir}/scripts/generate_profile.py --commodity "Rare earths" --format json| Parameter | Description | Default |
|---|---|---|
--commodity | Commodity name (BGS naming) | Required |
--year | Target year | latest available |
--sections | Comma-separated sections: production, trade, risk, research, policy, intel | all |
--intel-max-results | Max web-intel records to process | 20 |
--format | Output format: summary, json | summary |
| Section | Data Source | Description |
|---|---|---|
production | bgs-production | Top producers, global output, rankings |
trade | comtrade-trade | Import/export flows, major partners |
risk | supply-chain-analysis | HHI, NIR, top-3 share, trend |
research | literature-meta-search | Recent publications, citation leaders |
policy | export-restrictions | Active restrictions, policy changes |
intel | minerals-news-monitor + minerals-gov-monitor + minerals-web-ingest | Recent web signals, policy tags, high-confidence findings |
# Full lithium profile
python3 {baseDir}/scripts/generate_profile.py --commodity "Lithium"
# Cobalt production, risk, and web-intel
python3 {baseDir}/scripts/generate_profile.py --commodity "Cobalt" --sections production,risk,intel
# Graphite profile in JSON
python3 {baseDir}/scripts/generate_profile.py --commodity "Graphite" --format json --year 2022UNCOMTRADE_API_KEYSERPAPI_KEY for Scholar resultsrequests and beautifulsoup4 in the active Python environmentFIRECRAWL_API_KEY is set© 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/commodity-profile of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
Commodity Profile 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 |
|---|---|---|---|---|---|---|
| Commodity Profile this skilllamm-mit/scienceclaw | 244 | — | ~705 | Automated safety check: Pass | Apache-2.0 | |
| Trade Journal AnalysisHKUDS/Vibe-Trading | 35k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Agent Trading Predictorruvnet/ruflo | 74k | 3 repos | ~2.5k | Automated safety check: Pass | MIT | |
| LLM Trading Agent Securityaffaan-m/ECC | 274k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Trading Ledgersickn33/agentic-awesome-skills | 47k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Profileccusage/ccusage | 19k | — | ~430 | Automated safety check: Pass | Custom licence |
HKUDS/Vibe-Trading
Reads a broker export of your trades (CSV or Excel), builds a trading profile and runs four behavior checks: disposition effect, overtrading, chasing and anchoring.
ruvnet/ruflo
Agent skill for trading-predictor - invoke with $agent-trading-predictor
affaan-m/ECC
Security patterns for autonomous trading agents with wallet or transaction authority.
sickn33/agentic-awesome-skills
A trading journal that captures the decision, not just the fill: thesis, plan, and emotion at the moment of entry, written to the user's own Notion database; reviews grade decisions, not P&L.
ccusage/ccusage
Profiles ccusage performance. An agent skill from ccusage/ccusage.
HKUDS/Vibe-Trading
Trades mean reversion between two correlated instruments using the Z-score of their price ratio, going long one leg and short the other when the ratio stretches.
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.
Generate comprehensive one-page commodity profiles with production, trade, risk, research, policy, and web intelligence data. Commodity Profile is an agent skill from lamm-mit/scienceclaw.
Run `npx skills add lamm-mit/scienceclaw --skill commodity-profile -a claude-code`. Or copy the skill folder (skills/commodity-profile in lamm-mit/scienceclaw) into .claude/skills/commodity-profile in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill commodity-profile -a codex`. Or copy the skill folder (skills/commodity-profile in lamm-mit/scienceclaw) into .agents/skills/commodity-profile 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 commodity-profile -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/commodity-profile, .gemini/skills/commodity-profile, .github/skills/commodity-profile and .opencode/skills/commodity-profile in your project.
Going by SKILL.md and its folder, Commodity Profile needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named UNCOMTRADE_API_KEY, SERPAPI_KEY and FIRECRAWL_API_KEY. Our summary lists: Python 3; A credential in UNCOMTRADE_API_KEY; A credential in SERPAPI_KEY.
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.
Commodity Profile 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 705 tokens (SKILL.md is roughly 2.8k 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 Commodity Profile: Trade Journal Analysis (HKUDS/Vibe-Trading, 35k stars), Agent Trading Predictor (ruvnet/ruflo, 74k stars), LLM Trading Agent Security (affaan-m/ECC, 274k stars) and Trading Ledger (sickn33/agentic-awesome-skills, 47k 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.