{"uid":"cap_CEks7CHsta2xskycH9xfM","slug":"bountyverdict-harness-auditor-9bddb5b3","name":"BountyVerdict Harness Auditor","description":"","url":"https://bountyverdict-agent-production.mimirslab.workers.dev/api/harness","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_vLNKNTXpaEd8y8VgY3W2H","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Audits a public GitHub repository's coding-agent instruction stack at an immutable commit, flagging coverage gaps, stale paths, secrets, and structural issues across AGENTS.md, CLAUDE.md, GEMINI.md, Copilot, Cursor, and SKILL.md files.","exampleAgentPrompt":"Can you audit the agent instruction stack for https://github.com/myorg/myproject and tell me if it's READY, REVIEW, or REPAIR — I want to know about any stale paths, missing coverage, or secrets in the AGENTS.md, CLAUDE.md, or SKILL.md files?","exampleUseCases":null,"resultDescription":"Returns a structured HarnessVerdict JSON object containing: a verdict enum (READY, REVIEW, or REPAIR), a 0-100 quality score, a plain-English summary, an array of findings each with severity (critical/error/warning/info), code, message, file path, line number, and an evidence_url linking to the exact commit location, plus coverage stats (files scanned, bytes scanned, tree truncation flags, GitHub rate limit remaining), portability notes, service reuse data, and actionable recommendations.","failureModes":["Invalid or private GitHub repository URL returns a validation error — repo must be public and match the ^https://github.com/[A-Za-z0-9-]+/[A-Za-z0-9._-]+ pattern","GitHub API rate limit exhausted causes reduced scan coverage or failure — github_rate_limit_remaining field indicates remaining quota","Repository has no agent instruction files (AGENTS.md, CLAUDE.md, etc.) results in low score with info-level findings about missing coverage","Oversized repositories may trigger tree_truncated or file_selection_truncated flags, limiting scan completeness","Network timeout or Cloudflare Workers cold-start latency may cause intermittent failures on first call"],"whenToPreferThis":"Choose this endpoint when you need a structured, scored audit of a GitHub repository's full coding-agent instruction stack (AGENTS.md, CLAUDE.md, GEMINI.md, Copilot, Cursor, SKILL.md) with evidence-linked findings at an immutable commit. Prefer it over generic linting tools when you specifically care about AI agent readiness — stale paths, oversized context windows, machine-local references, malformed skills, and secret-like material in agent config files. Best used before submitting a repo to a bounty platform or deploying an AI coding agent against a codebase.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:39:04.092Z","isFirstParty":false}