corpus-search
Semantic search over critical minerals PDF corpus — rare earth, lithium, cobalt, nickel supply chain, trade policy, extraction, and materials research via…
Skill by lamm-mit
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: documents, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/corpus-search
What's inside
- Skill name
corpus-search- Description
- Semantic search over critical minerals PDF corpus — rare earth, lithium, cobalt, nickel supply chain, trade policy, extraction, and materials research via Pinecone
- License
- Apache-2.0
- Instructions
- 77 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- SKILL.md
- requirements.txt
- ingest_corpus.py · scripts/
- search_corpus.py · scripts/
SKILL.md (first lines)
# Corpus Search — Critical Minerals PDF Corpus
Semantic search over a local collection of critical minerals PDFs (USGS, UN Comtrade, World Bank, SEC, WTO, Mindat, MinCan reports). Documents are chunked, embedded with `llama-text-embed-v2`, and stored in a Pinecone index for fast similarity search.
## Usage
### Search the corpus:
```bash
python3 {baseDir}/scripts/search_corpus.py --query "rare earth separation techniques"
```
### Filter by commodity:
```bash
python3 {baseDir}/scripts/search_corpus.py --query "supply chain risks" --commodity lithium
```
### Filter by source organization:
```bash
python3 {baseDir}/scripts/search_corpus.py --query "trade flows" --source Comtrade
```
### Reranked results (higher quality):
```bash
python3 {baseDir}/scripts/search_corpus.py --query "cobalt extraction" --rerank --top-k 20
```
### JSON output:
```bash
python3 {baseDir}/scripts/search_corpus.py --query "graphite processing" --format json
```
## Parameters
| Parameter | Description | Default |
|-----------|-------------|---------|
| `--query` | Semantic search query | Required |
| `--commodity` | Filter by commodity keyword (e.g., lithium, cobalt, rare earth) | - |
| `--source` | Filter by source organization (e.g., USGS, Comtrade, SEC) | - |
| `--top-k` | Number of results to retrieve | 10 |
| `--rerank` | Enable reranking with pinecone-rerank-v0 | false |
| `--format` | Output format: summary, detailed, json | summary |
| `--index-name` | Pinecone index name | scienceclaw-minerals-corpus |
## Ingestion
Before searching, ingest PDFs into the Pinecone index:
```bash
# Dry run — list PDFs that would be ingested:
python3 {baseDir}/scripts/ingest_corpus.py --corpus-dir ~/critical-minerals-data/ --dry-run
# Ingest all PDFs:
python3 {baseDir}/scripts/ingest_corpus.py --corpus-dir ~/critical-minerals-data/
# Force re-ingest (ignore manifest):
python3 {baseDir}/scripts/ingest_corpus.py --corpus-dir ~/critical-minerals-data/ --force-reingest
```
### Ingestion Parameters
| Parameter | Description | Default |
|-----------|-------------|---------|
| `--corpus-dir` | Directory containing PDFs | ~/critical-minerals-data/ |
| `--index-name` | Pinecone index name | scienceclaw-minerals-corpus |
| `--force-reingest` | Re-ingest all files, ignoring manifest | false |
| `--dry-run` | List files without ingesting | false |
## Notes
- Requires `PINECONE_API_KEY` environment variable
- PDFs are chunked at ~600 tokens with 100-token overlap
- Source organization is auto-detected from directory name (e.g., `usgs/`, `sec/`)
- Commodity is auto-detected via keyword scanning
- Incremental updates: only new or modified files are re-ingested (SHA-256 manifest)
- Reranking uses `pinecone-rerank-v0` for higher quality results at the cost of latencyFrom lamm-mit/scienceclaw, Apache-2.0.
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Signals
- Stars
- 250
- Forks
- 47
- Open issues
- 1
- Last commit (this folder)
- Feb 21, 2026 (8 months ago)
- Last release
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/lamm-mit/scienceclaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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corpus-search skill. Agent Mart. https://agentmart.dev/skills/lamm-mit-corpus-search (last updated 2026-10-24)