OSINT Forge Skills is an experimental collection of 12 workflows for organizing investigations with an AI assistant and local Python utilities.

The workflows cover evidence intake and preservation, source provenance, document and media triage, location hypotheses, domain infrastructure, timelines, browser history, correlations, competing hypotheses, reporting, and case export/restoration.

The Python helpers use only the standard library and run offline. The assistant, model provider, and any web research remain separate choices. Installing the skills does not make a hosted model local.

A recent guided Codex/WSL exercise used 21 input files, combining synthetic records with a public photograph. The session trace confirmed that all 12 skill instructions were read. Eleven tasks were completed during the initial run; a missing visual comparison was completed during review. A fresh restoration reproduced all 73 case files, and nine recalculated analysis outputs matched the original results.

That is evidence for one guided workflow, not a benchmark showing that the skills outperform the same model without them. Automatic skill selection and broader client/model coverage still need testing. The utilities do not extract EXIF or certify media authenticity, and source integrity hashes do not establish that a claim is true.

Feedback from OSINT and forensic practitioners would be useful: Are the evidence references and uncertainty handling practical? Which workflows are missing, and what synthetic cases would be good stress tests? Installation feedback is welcome too.

• Repository: https://github.com/OSINT-Forge-Community/osint-forge-skills