Help us improve
Share bugs, ideas, or general feedback.
Tools for investigative journalism: Python script execution with automatic dependency management, data preprocessing with provenance tracking, and transparent data analysis designed to be defensible under scrutiny.
npx claudepluginhub nhagar/claude-plugins-journalismTools for investigative journalism: Python script execution, data preprocessing with provenance tracking, and transparent data analysis
Share bugs, ideas, or general feedback.
A plugin marketplace with tools for investigative journalism: Python script execution with automatic dependency management, data preprocessing with provenance tracking, and transparent data analysis designed to be defensible under scrutiny.
Add the marketplace and install the plugin:
/plugin marketplace add nhagar/claude-plugins-journalism
/plugin install journalism-tools@journalism-tools
Once installed, you'll have access to four skills:
/journalism-tools:python-runnerRun Python scripts with automatic dependency management using uv. No manual environment setup required—dependencies are installed automatically in isolated environments.
/journalism-tools:journalistic-data-preprocessingPreprocessing workflow for journalistic data analysis emphasizing transparency, provenance, and human oversight. Core principles:
/journalism-tools:structured-data-analysis-journalismAnalyze preprocessed data for investigative journalism with full transparency. Emphasizes simple, legible analyses over complex methods—every finding must be explainable to editors and defensible under scrutiny. Core principles:
/journalism-tools:document-extractorExtract structured data from documents that resist standard parsing—scanned PDFs, redacted FOIA responses, inconsistent government forms, and OCR artifacts. Follows a five-step workflow:
Core principles:
Test the plugin locally without installing:
claude --plugin-dir ./plugins/journalism-tools
MIT