What It Does
Checks consented, evidence-tagged interview signals against explicit candidate prices without automatic pricing or customer contact. It reads one pre-redacted JSON file and reports whether enough consented, urgent, evidenced responses and commitments support a candidate price.
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.