Claude Skill
ckpxgfnksd-max/uap-release-analyzer
UAP Release Analyzer is a Claude Skill that inventories, extracts text, surfaces entities, and generates a standardized 11-section REPORT.md from declassified UAP/UFO documents (war.gov PURSUE, FBI...
Overview
Repository
Install this Skill
git clone https://github.com/ckpxgfnksd-max/uap-release-analyzer.git \Registry
git clone https://github.com/ckpxgfnksd-max/uap-release-analyzer.git \git clone https://github.com/ckpxgfnksd-max/uap-release-01.git ~/Documents/UFO/release_01
Summary
UAP Release Analyzer is a Claude Skill that automates the analysis of declassified UAP/UFO document tranches from sources like war.gov PURSUE, FBI Vault, NARA, and AARO. It performs inventory management, text extraction, entity surfacing, and generates a standardized 11-section REPORT.md.
用于分析解密UAP/UFO文件批次(war.gov PURSUE、FBI Vault、NARA、AARO)的Claude Skill。包括清单整理、文本提取、实体呈现以及标准化的11部分REPORT.md报告。
Key features
- Multi-source document inventory management
- Automated text extraction from declassified files
- Entity surfacing for key terms and references
- Standardized 11-section REPORT.md generation
- Support for war.gov PURSUE, FBI Vault, NARA, AARO
Use cases
- Analyzing batches of declassified UAP/UFO documents
- Creating structured reports for research or FOIA projects
- Extracting entities and patterns from government releases
- Inventorying large document collections efficiently
- Standardizing analysis across multiple document sources
README excerpt
# uap-release-analyzer A Claude Code / Claude.ai skill that turns a folder of declassified UAP/UFO documents — war.gov "PURSUE" releases, FBI Vault tranches, NARA boxes, AARO publications — into a structured analytic report. ## What it does Run it against a release directory (e.g. `~/Documents/UFO/release_01/`) and it produces: - `inventory.csv` — one row per file: agency (inferred from filename prefix), document type, page count, size - `text/*.txt` — extracted text via pdfplumber, with empty files flagged for the (often majority) of files that are scanned with no text layer - `analytics/` - `top_terms.csv`, `terms_by_agency.csv` — token frequencies - `entities.json` — locations, agencies, phenomena vocabulary, year clusters, names appearing in 5+ files - `per_file_digest.csv` — top terms / locations / redactions / 2-sentence summary per file - `cross_doc.json` — redaction patterns, agency totals, scanned-vs-text split - `REPORT.md` — 11-section human-readable analytic writeup The four scripts are idempotent and incremental — re-running on the same folder skips work that's already done. ## Installation ```bash # Inside Claude Code (per-user skills directory) git clone https://github.com/ckpxgfnksd-max/uap-release-analyzer.git \ ~/.claude/skills/uap-release-analyzer ``` Or package via `skill-creator`: ```bash python -m scripts.package_skill /path/to/uap-release-analyzer # produces uap-release-analyzer.skill — install via Claude Code UI ``` Dependencies: `pdfplumber`, `pypdf`. Install via `pip install pdfplumber pypdf`. ## Layout ``` uap-release-analyzer/ ├── SKILL.md # frontmatter + workflow ├── scripts/ │ ├── inventory.py │ ├── extract_text.py │ ├── analyze.py │ ├── build_report.py │ └── run_all.py # convenience: run
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