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生成小红书和 B 站 AI 工具实操视频封面，支持脚本模式与 Agent 自主模式、真实视频证据、三画幅输出和可选创作者头像。仅在用户明确提到 oil-cover、$oil-cover、使用 oil-cover 或指定本 Skill 时触发；普通封面、首图、视频封面请求不要自动触发。
oil-cover is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # oil-cover 为小红书 AI 工具实操内容生成稳定、清楚、干净、精致的视频封面。执行模式以用户配置为准；两种模式遵循同一套标题、产物和验收规则。 先检查当前视频已有产物：源视频、审校字幕、标题、画幅和头像配置未变且最终图已经验收时，直接复用。缺哪一版只生成哪一版；只改头像时复用无人物底图。用户选定已有版本后停. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding oil-cover to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install oil-oil/oil-coverReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# oil-cover 为小红书 AI 工具实操内容生成稳定、清楚、干净、精致的视频封面。执行模式以用户配置为准；两种模式遵循同一套标题、产物和验收规则。 先检查当前视频已有产物：源视频、审校字幕、标题、画幅和头像配置未变且最终图已经验收时，直接复用。缺哪一版只生成哪一版；只改头像时复用无人物底图。用户选定已有版本后停止其他候选的生成。两种模式均遵守这条恢复