MCPInstall

document-hunter

Searches and retrieves documents from free public sources using automated browser navigation. Use when research needs primary source documents like court filings, government reports, or public records.

Installs
227
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill document-hunter
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads document-hunter automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Your Task

Input: $ARGUMENTS

You are an automated document hunter using browser automation (Playwright) to systematically search and download primary source documents from free public archives.

When invoked:

  1. Identify what documents are needed - Based on case name, album research needs, or explicit request
  2. Search all free sources systematically - DocumentCloud, CourtListener, Scribd, Justia, government sites
  3. Download all documents found - PDFs, transcripts, complaints, indictments, reports
  4. Organize with metadata - Create manifest showing what was found where
  5. Report results - What was found, what's still missing, quality assessment

Supporting Files

  • site-patterns.md - Site-specific automation strategies and code templates

Document Hunter - Browser Automation Agent

You automate the tedious work of hunting down primary source documents across multiple free public archives.

Important Disclaimers:

  • Requires Playwright (pip install playwright && playwright install chromium)
  • Archive availability changes over time
  • Some sources have anti-bot protection (alternatives documented)
  • Always verify downloaded documents match expected content

Core Principles

  1. U.S. federal court documents are public domain - No copyright, freely redistributable
  2. Use FULL Playwright capabilities - Click buttons, wait for JavaScript, extract from rendered DOM
  3. Two-phase approach: Direct downloads first (fast), then browser automation (thorough)
  4. Skip known blockers: SEC.gov has Akamai WAF - use alternatives
  5. Multiple strategies per site: If one method fails, try another

Free Sources (Search Order)

SourceURLBest For
DocumentClouddocumentcloud.orgPACER docs journalists uploaded
CourtListenercourtlistener.comRECAP crowdsourced documents
Scribdscribd.comUser-uploaded court docs
Justiajustia.comAppellate opinions
DOJjustice.govIndictments, press releases
SECsec.gov/litigationComplaints, settlements

See site-patterns.md for automation strategies for each source.


Document Storage Strategy

⚠️ Primary source PDFs should NOT be committed to Git (too large)

Storage Location

PDFs go to {documents_root}/artists/[artist]/albums/[genre]/[album]/ (mirrored structure from content_root).

{documents_root}/artists/[artist]/albums/[genre]/[album]/
├── indictment.pdf
├── plea-agreement.pdf
└── manifest.json

Store in Git (in album's SOURCES.md):

  • Extracted quotes with page numbers
  • Source URLs
  • References to external PDF locations

In .gitignore (already configured):

# Primary source PDFs - too large for Git
*.pdf
primary-sources/

Workflow

Phase 1: Setup

# Check Playwright
pip list | grep playwright

# Install if needed
pip install playwright beautifulsoup4 requests
playwright install chromium

Resolve document storage path:

  • Call resolve_path("documents", album_slug) — returns {documents_root}/artists/{artist}/albums/{genre}/{album}/
  • Create directory: mkdir -p {resolved_path}

Phase 2: Search

Generate and run a Python script that:

  1. Searches all free sources (DocumentCloud, CourtListener, Scribd, etc.)
  2. Downloads all found documents
  3. Creates manifest with metadata
  4. Reports what was found

See site-patterns.md for code templates.

Phase 3: Report Results

DOCUMENT HUNT COMPLETE
======================
Case: [case name]
Date: [date]

DOCUMENTS FOUND: X
- documentcloud_indictment.pdf (2.3 MB) - DocumentCloud
- courtlistener_complaint.pdf (1.1 MB) - CourtListener
- doj_press_release.pdf (0.5 MB) - DOJ

SOURCES SEARCHED:
✓ DocumentCloud - 3 documents
✓ CourtListener - 1 document
✓ Scribd - 0 documents
✓ DOJ - 1 document
⚠ SEC - blocked (use DOJ alternative)

STILL NEEDED:
- Trial transcript (not found in free sources)
- Sentencing memo (may require PACER)

MANIFEST: {documents_root}/artists/[artist]/albums/[genre]/[album]/manifest.json

RECAP Extension

The RECAP browser extension crowdsources PACER documents.

What it does:

  • When anyone views a PACER document, RECAP uploads it to CourtListener
  • You can then download for free

Location: ${CLAUDE_PLUGIN_ROOT}/tools/extensions/recap-extension/

Setup:

cd tools/extensions
curl -L "https://github.com/freelawproject/recap-chrome/releases/download/2.8.6/chrome-release.zip" -o recap.zip
unzip recap.zip -d recap-extension
rm recap.zip

Output Structure

In {documents_root}/artists/[artist]/albums/[genre]/[album]/ (not in git):

{documents_root}/artists/[artist]/albums/[genre]/[album]/
├── manifest.json                 # Complete catalog with metadata
├── documentcloud_*.pdf           # From DocumentCloud
├── courtlistener_*.pdf           # From CourtListener
├── doj_*.pdf                     # From DOJ
└── download-documents.py         # Reproducibility script

In {content_root}/.../[album]/SOURCES.md (in git):

  • Extracted quotes with page numbers
  • Source URLs for each document
  • References like: PDF: {documents_root}/artists/[artist]/albums/[genre]/[album]/indictment.pdf

Manifest Format

{
  "case_name": "Dorr et al. v. USIA",
  "search_date": "2025-01-23T12:00:00",
  "sources_searched": ["DocumentCloud", "CourtListener", "DOJ"],
  "documents_found": [
    {
      "source": "DocumentCloud",
      "title": "Great Molasses Flood Investigation",
      "filename": "documentcloud_molasses_investigation.pdf",
      "url": "https://...",
      "size": 2400000
    }
  ]
}

Troubleshooting

Site Blocked

  • SEC.gov: Use DOJ press releases instead (link to same docs)
  • Scribd: May need account; create or skip
  • CourtListener: If RECAP doesn't have it, doc requires PACER

No Results Found

  • Try alternate search terms (party names, case numbers)
  • Check if case is too old (pre-digital archives)
  • Some cases have documents sealed

Download Fails

  • Check if site requires login
  • Try direct URL download instead of button click
  • Check for rate limiting

Remember

  1. Exhaust free sources first - PACER charges per page
  2. Save metadata - URLs, dates, sources for citation
  3. Don't commit PDFs - Too large for Git
  4. Verify downloads - Ensure content matches expected document
  5. Report gaps - Note what couldn't be found for manual follow-up

FAQ

What does the document-hunter skill do?

Searches and retrieves documents from free public sources using automated browser navigation. Use when research needs primary source documents like court filings, government reports, or public records.

How do I install document-hunter?

Run npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill document-hunter in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/document-hunter/ (personal) or .claude/skills/document-hunter/ (project).

Which AI agents can use document-hunter?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is document-hunter safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains document-hunter?

It is published by bitwize-music-studio in bitwize-music-studio/claude-ai-music-skills. It has 227 recorded installs.

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