openplanterlisted

# OpenPlanter — Investigation Methodology Skill Epistemic framework for cross-dataset investigation, entity resolution, and evidence-backed analysis. Extracted from the [OpenPlanter](https://github.com/ShinMegamiBoson/OpenPlanter) recursive investigation agent and enriched with professional OSINT tradecraft (Admiralty System, ACH, FollowTheMoney schema, intelligence cycle methodology). Claude Code already has the tools. This skill provides the **methodology**. ## When to Use - Cross-referencing heterogeneous datasets (corporate registries, campaign finance, lobbying, property records, contracts) - Entity resolution across datasets with inconsistent naming - Building evidence chains with provenance and confidence tiers - Structured OSINT investigations requiring epistemic discipline - Any analysis where claims need to trace to cited source records ## Quick Start ```bash # 1. Initialize workspace python3 ~/.claude/skills/openplanter/scripts/init_workspace.py /path/to/investigation # 2. Drop datasets into datasets/ cp campaign_finance.csv lobbying.json corporate_registry.csv /path/to/investigation/datasets/ # 3. Write an investigation plan # → plans/plan.md (see references/output-templates.md for plan template) # 4. Resolve entities across datasets python3 ~/.claude/skills/openplanter/scripts/entity_resolver.py /path/to/investigation # 5. Cross-reference linked entities python3 ~/.claude/skills/openplanter/scripts/cross_reference.py /path/to/investigation # 6. Validat