lov-media-preprocessor skillA
lov-media-preprocessor is agent-read markdown (skill) from lovstudio/skills: 对实录视频做全片增强与内容分段,保留有价值内容、剔除已核验无效区间,输出素材库与源时间码。Use when 用户说“全片提亮”“智能分段”“清理课程素材”或 “preprocess and segment video”。.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
How to install
mdr add lovstudio/skills/lov-media-preprocessor@v0.2.0mdr add lovstudio/skills/lov-media-preprocessor@sha256:30e2010293efd55ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_2izi73embmnwec6k)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10978 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
lovstudio/skills · 66 stars · license MIT · pushed 2026-09-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2izi73embmnwec6k GET https://markdownregistry.com/api/v1/resolve?ref=lovstudio/skills/lov-media-preprocessor GET https://markdownregistry.com/api/v1/blob/30e2010293efd55e1304bd4fa404a0bb8ae9fa5160ee8d006975a1f4dacc5a59
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.