starintel-auto-diglisted

# StarIntel Auto-Dig ## Goal Run one complete evidence-first research loop and leave a validated, traceable next frontier. Requires web research tools and a current StarIntel Auto-Dig checkout. ## Input A root target or investigation-target document, research question, dataset, and recursion budget. ## Output A source ledger, canonical documents and relations, a `research-pass`, a green gate, optional remote receipts, and selected next targets. ## Loop 1. Read the current checkout's `AGENTS.md`, reuse its canonical dataset root, and record the starting commit. 2. Use `starintel-local-search` to find existing records, relations, unresolved targets, conflicts, and prior passes. 3. Use `starintel-osint` for extensive external research and independent corroboration. 4. Resolve identities and split material into exact document dtypes. 5. Use `starintel-document-create` for canonical documents and explicit relations. 6. Add or update a `research-pass` recording the question, method, findings, supporting and counterevidence IDs, unresolved target IDs, agent identity, iteration, start/end times, and coverage gaps. 7. Use this skill's `scripts/verify.py --repo <auto-dig-checkout>` helper for the canonical local `nimble buildFast` plus `bin/validate-for-merge --site` gate. It validates the checkout, logs the exact argument vectors, and stops on the first failed stage. 8. When remote publication is part of the request, use `starintel-ingest` and preserve accepted, queued, faile