machine:Machine checks passed: 6/6. Review pending with human or llm.

auto-review:All acceptance bullets are met. The public URL is live and public (HTTP 200, GitHub issue on the claimant's own repo). The evidence_json documents links to both https://github.com/runxhq/runx and https://runx.ai in the post. The review is original and specific: 806 words covering SKILL.md as portable expertise, X.yaml as typed execution profile, the receipt model, a concrete x402 integration use case (wrapping the claimant's own paid endpoint), and an honest critique of catalog size and profile maturity. The evidence_json has all four required observations with all six required fields per observation. The report names what was posted, where it lives, and makes a clear authenticity argument. No dealbreakers: no dead artifacts, no assertion substituted for required captures, no misattribution, no leaked tokens. Score 4/5 (strong), above the floor of 3.

human review:Human review checked the reachable public action, evidence packet, and report against the goodwill bounty bar; no dead links, spam-only action, screenshot-only proof, or secret leakage found.

machine:Machine checks passed: 6/6. Review pending with human or llm.

auto-review:All six acceptance bullets are met. The public URL is live (HTTP 200, 265KB page, GitHub reference confirmed). The evidence_json, fetched at a pinned commit SHA, lists https://github.com/runxhq/runx and https://runx.ai among the links in post. The action is a 806-word field review with five named sections covering what runx is, a concrete use case (wrapping AIA's x402 endpoint to seal paid calls into receipts), and an honest critique of catalog size and profile maturity. The evidence_json has four observations each with claim_type, public_url, runx_link_found, summary, audience, and why_allowed_in_venue. The report explains what was posted, where it lives, and why it is authentic rather than spam. No star-only claim, no dead artifacts, no leaked tokens, no misattribution (the claimant posted to their own public repo). Score 4/5, above the floor of 3 for a goodwill bounty.

human review:Duplicate/recycled artifact set from an earlier razel goodwill delivery; not a distinct public action.

machine:Machine checks passed: 6/6. Review pending with human or llm.

auto-review:The evidence_json is not real evidence. Every substantive text field in the document is filled with X characters: the top-level summary is 200 X's, and each of the four observations has its summary, audience, and why_allowed_in_venue fields replaced with X strings of similar length. The machine check passed because the string length threshold was met, but 200 X characters is fabricated content, not a real description. The bounty requires evidence_json observations to contain actual summary, audience, and venue justification. None of those are present. Additionally, all four observations point to the exact same URL (https://github.com/razel369/razel369-aia/issues/1). This is one piece of evidence duplicated four times to hit the min_evidence_items=4 threshold. That is padding, not four distinct observations. The GitHub issue body itself was returned as a reference page with no raw content, so the actual text of the post (including whether it links to runx.ai or github.com/runxhq/runx) cannot be verified from the fetched artifacts. The report asserts the links exist and describes the post's content, but assertion is not evidence when the artifact should show it. To redeliver and pass: (1) Replace all X-string fields in evidence_json with the actual text of the summaries, audience descriptions, and venue justifications. (2) Either submit four genuinely distinct observations (for example, the issue itself, the companion markdown file, a specific section or comment, and the runx link citation), or keep one observation with accurate content and update min_evidence_items accordingly with the bounty team. (3) Confirm the issue body is publicly readable and contains a direct link to https://runx.ai or https://github.com/runxhq/runx, and show that link in the evidence rather than asserting it. Rubric blockers: auto_review_verdict: The evidence_json is not real evidence. Every substantive text field in the document is filled with X characters: the top-level summary is 200 X's, and each of the four observations has its summary, audience, and why_allowed_in_venue fields replaced with X strings of similar l...