一键导入
model-doc-sync
// Keep anomalib model READMEs, docs pages, image assets, and benchmark/result references in sync
// Keep anomalib model READMEs, docs pages, image assets, and benchmark/result references in sync
| name | model-doc-sync |
| description | Keep anomalib model READMEs, docs pages, image assets, and benchmark/result references in sync |
Use this skill when updating model documentation, benchmark tables, sample-result images, or docs reference pages for an anomalib model.
Use this skill to keep model READMEs, docs pages, images, and benchmark/sample references aligned.
src/anomalib/models/**/README.mddocs/source/markdown/guides/reference/models/**docs/source/images/**results/src/anomalib/models/image/<model>/README.md.src/anomalib/models/video/<model>/README.md.src/anomalib/models/image/README.md and src/anomalib/models/video/README.md.docs/source/markdown/guides/reference/models/image/<model>.md.docs/source/markdown/guides/reference/models/video/<model>.md.docs/source/markdown/guides/reference/models/**/index.md up-to-date.docs/source/images/<model>/.architecture.* and results/0.png, results/1.png, results/2.png.docs/source/images/cs_flow/.results/<ModelName>/....results/ as evidence for benchmark/sample claims, not as a place to invent values from partial runs.For the target model:
docs/source/images/<model>/ or the repo-specific variant actually used.results/.Never update only one of README or docs when both exist.
If present in the README, verify that the docs page and assets do not contradict it:
Docs pages do not need to duplicate the full README, but they must stay consistent with it.
tools/experimental/benchmarking/.results/.docs/source/images/... location./docs/source/images/<model>/... when the README already uses that pattern.Before finishing:
csflow vs cs_flow.results/ without a fully synced docs surface yet.Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.
Designs and reviews REST APIs for FastAPI services using consistent resource naming, HTTP semantics, validation, security, and error handling patterns. Use for backend API tasks, endpoint design/refactors, or API review requests in FastAPI/Python projects.
Run or continue model benchmarks, collect measured results, and refresh README/docs benchmark sections from generated artifacts. Use when benchmark tables in model docs need to be created, updated, or corrected.
Reviews anomalib docstrings, documentation updates, and changelog expectations
Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages. Use when model sample images are missing, outdated, or suspected to be invalid.
Reviews anomalib model, data, callback, metric, and CLI integration conventions