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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

IndexedApache-2.0★ 250
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About

Semantic search over critical minerals PDF corpus — rare earth, lithium, cobalt, nickel supply chain, trade policy, extraction, and materials research via Pinecone

Use cases: documents, research

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Install scripts
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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 latency

From lamm-mit/scienceclaw, Apache-2.0.

More from lamm-mit/scienceclaw

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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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corpus-search skill. Agent Mart. https://agentmart.dev/skills/lamm-mit-corpus-search (last updated 2026-10-24)