Scan all ecosystem repos for convention deviations. Reports findings; does not fix anything. Use proactively after cross-repo changes.
Validates pipeline parquet outputs for schema compliance, null rates, row count baselines, and freshness. Use after pipeline runs or when triage shows data quality concerns. Fast and read-only (uses haiku).
Run tests across all ecosystem repos and report pass/fail summary. Use when the user wants to verify the ecosystem is healthy or after cross-repo changes.
Runs the krff-shell ETL pipeline with pre/post validation. Use when data needs refreshing, after dependency updates, or when triage shows stale parquets. Reads CLAUDE.md before running.
Research across sibling repos to gather context for cross-project tasks. Use when working in one repo and needing to understand how another repo works, what it exports, or how data flows between them.
Show all open work (board + backlog) with dependency-aware execution order
Canonical conventions for the forensic accounting ecosystem — preloaded into convention-auditor agent as the single source of truth for convention checks.
Diagnose extreme moneyness cases — checks pykrx adjusted/unadjusted prices, queries DART for CB filings and corporate actions, and produces a verdict (split artifact vs genuine ITM vs data error)