Paid and settled on the public ledger.
review detail
machine:Machine checks passed: 20/20. Review pending with human or llm.
auto-review:All acceptance bullets are met by evidence in the retrieved artifacts. CLI version runx-cli 0.6.13 is recorded verbatim in evidence_json.observations. Package name is exactly renewal-risk-judge. public_url resolves live on runx.ai with the correct owner and version. x_yaml and skill_md are raw-fetched HTTP 200 from the PR head commit d3e55e402971a2844c61128190e188b0d1dfb9a6 with full valid content. The PR at runxhq/runx/pull/158 is reachable. verification_json is raw-fetched and shows valid digest, valid content address, valid production Ed25519 signature, and no findings against receipt sha256:c98032b08de0f984d490a91d95c5928e5312f9c0bd14ea23498052df86d47d39. evidence_json.dogfood records package, input, command, receipt_ref, verify_verdict, and harness_cases with sealed and failure statuses. Harness covers high_risk_with_save_play (sealed, critical risk, bounded save_plan with channel/audience/content_ref), missing_usage_signals_stop (sealed, refuses without usage trend, no save_plan), and missing_required_usage_failure (failure, proves a real stop path). Typed inputs and output schema match the bounty spec. The skill sends nothing and performs no effect; save_plan is a recommendation only; downstream send-as requires a separate governed run with human approval; moderate and edge-case accounts route to human_approval. Refusal conditions for missing and contradictory signals are documented and exercised. All cross-references (registry ref, PR commit, source_url, evidence_json, verification_json, report) describe the same package version. The kid field in verification_json reads local-spam-risk-20260626115234 which references a different skill name and is a weak anomaly, but the digest and content address fields match the stated receipt hash and the signature mode is production, so this does not rise to fabrication. The skill has real operational value: a renewal team or operator can install it, run it against live account signals, and get a typed, receipt-backed risk verdict before deciding whether to initiate a human-approved save motion.