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Audit completed image jobs and export frozen comparison bundles from evidence-backed records. Use when you need approval candidates, retry candidates, comparison summaries, or auto-eval outputs without mutating upstream artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | image-result-auditor |
| description | Audit completed image jobs and export frozen comparison bundles from evidence-backed records. Use when you need approval candidates, retry candidates, comparison summaries, or auto-eval outputs without mutating upstream artifacts. |
Use this skill after worker completion or bundle freeze to turn evidence-backed records into review-ready queues, comparison summaries, and auto-eval outputs. It owns audit and consumer preparation only. It does not mutate files, regenerate upstream arms, or approve items without evidence.
agent-task-managerconportfilesystemexiftoolmultimodal-evidence-refinement-loopimage-text-cot-reviewreferences/runtime.mdreferences/troubleshooting.mdreferences/review-queue-contract.mdreferences/comparison-consumer-runtime.mdreferences/frozen-bundle-contract.mdreferences/semantic-judge-waiver.mdchecklists/audit-preflight.mdchecklists/four-mode-consumer-readiness.mdknowledge_bases/image-result-auditor-knowledge-base-at2026-03-28-11-20.mdknowledge_bases/image-result-auditor-comparison-consumer-knowledge-base-at2026-03-29-00-30.mdevals/evals.jsonExport deterministic component-level OCR evidence for one transparent or semi-transparent image by splitting alpha-connected components, writing a component table, and running OCR on each component. Use when bounded component evidence must be exported before any downstream refinement or caption rerun.
Extract bounded OCR evidence from local image files with macos-ocr-mcp, using macOCR only as a fallback reference when MCP coverage is insufficient. Use when downstream refinement or review needs visible-text evidence, not final semantic decisions.
Wrap object-isolation correction as a repo-specific workflow. Use when a local image already exists, the current isolation result is imperfect, and the next step is to choose between ImageSorcery-first, imagegen-first, or a hybrid correction path with a bounded correction packet and worker run.
Promote a bounded parser raw sidecar artifact into the canonical Table -> Row -> Cell schema. Use when a parser MCP returned markdown plus nested JSON sidecars and the project must normalize that output before any downstream wrapper, worksheet, or RAG consumer reads it.
Triage a bounded batch of PPT-extracted images to find the small subset that is mechanically sufficient for alpha-only component splitting. Use when conservative preprocessing is required and only review-gated deterministic candidates should advance beyond the full-image baseline.
Operate an existing markdown review surface in VS Code with fabriqa for same-page image editing and Foam for backlinks and graph navigation, without redefining machine-truth semantics.