What It Does
An offline review aid for conflicting agent candidates. It ranks safe candidate IDs using declared corroboration, authority and contradiction flags, but refuses unsupported, unreviewed, tied or weak conclusions. It does not compare raw agent responses or resolve truth independently.
Use Cases
- Teams preparing review-ready evidence before operational handoff.
- Maintainers who need deterministic local checks without contacting live systems.
- Operators documenting risks, gaps, owners, and next actions for release governance.
Requirements
- Python 3 standard library only.
- No API keys required.
- OpenClaw-compatible local skill workspace with redacted evidence notes.
Price
$4.99 one-time purchase.