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在 OpenClaw 中安装
/install parse-video-nomark
功能描述
视频去水印解析 Skill。支持 20+ 平台短视频去水印解析,包括抖音、快手、小红书、微博、西瓜视频、豆包、云雀、B站等。使用本技能时触发:解析视频、去水印、视频解析、解析链接、下载视频、去除水印、parse video、video parser、抖音解析、快手解析、小红书解析、bilibili 解析、douy...
安全使用建议
This skill appears to do what it says (download a platform-specific parser binary and run it), but it automatically fetches and executes a closed-source executable from a remote Gitee repo. Before installing or running it: 1) Verify the Gitee repository and author (https://gitee.com/qiushuihanjing/parse-video-nomark) and inspect release files if possible. 2) Prefer open-source alternatives you can audit; running opaque binaries carries risk of arbitrary network/file access. 3) Run the skill in a sandboxed environment (isolated VM or container) if you must test it. 4) Ensure git is installed — the scripts assume git but do not declare it. 5) Look for checksums/signatures for the binary in the repo; if absent, treat the binary as unverified. 6) Do not run this on machines containing sensitive credentials or data. If you want a lower-risk alternative, ask for a variant that builds from source or exposes the parsing logic in script form instead of shipping precompiled binaries.
能力评估
Purpose & Capability
The name/description (video parsing / remove watermark) align with the included scripts: both scripts download a platform-specific executable and run it to parse or serve video links. However the SKILL metadata declares no required binaries while the scripts rely on git (and basic shell utilities) to fetch the remote repo — an inconsistency the pack author should have declared.
Instruction Scope
The scripts instruct the agent/environment to clone a remote Gitee repository into ~/.cache/parse-video/.git-repo, copy a prebuilt executable into ~/.cache/parse-video/, chmod +x it, and then execute it. That means runtime behavior includes network retrieval of a non-open-source binary and executing it locally; the SKILL.md and scripts do not access other unrelated system paths, but executing opaque binaries is a meaningful scope expansion because the binary can perform arbitrary network IO and file access outside the skill's visible code.
Install Mechanism
No package manager install spec is present; the scripts perform a git shallow-clone from a Gitee repo and copy a prebuilt binary from the repo's dist/ directory. Downloading and executing third-party precompiled binaries (closed-source) is higher risk than instruction-only or source-based installs. Gitee is a known host, but the binary is opaque (README explicitly says the executable is not open source).
Credentials
The skill requests no environment variables or credentials, which is appropriate for its stated purpose. That said, it makes network requests to fetch binaries (git clone) and executes them locally; because no checksums or signatures are present, this behavior is not provably limited to the stated task and could access other credentials or data at runtime via the downloaded binary.
Persistence & Privilege
The skill does not set always:true and does not modify other skills or system-wide configs. It stores files under ~/.cache/parse-video/, which is reasonable for caching binaries. It will, however, persist a downloaded executable on disk and execute it when invoked.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install parse-video-nomark - 安装完成后,直接呼叫该 Skill 的名称或使用
/parse-video-nomark触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
- 增加首次使用时自动下载对应平台二进制文件功能,无需手动编译
- 明确二进制文件存放路径为 ~/.cache/parse-video/
- 下载源为 Gitee 仓库 dist/ 目录
- 更新 CLI 使用说明,指向自动下载后的二进制路径
- 精简技术细节说明,移除本地编译相关内容
v1.0.0
支持 20+ 平台视频去水印解析,包括抖音、快手、小红书、微博、B 站、豆包、云雀等
元数据
常见问题
Parse Video - 视频去水印 是什么?
视频去水印解析 Skill。支持 20+ 平台短视频去水印解析,包括抖音、快手、小红书、微博、西瓜视频、豆包、云雀、B站等。使用本技能时触发:解析视频、去水印、视频解析、解析链接、下载视频、去除水印、parse video、video parser、抖音解析、快手解析、小红书解析、bilibili 解析、douy... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 85 次。
如何安装 Parse Video - 视频去水印?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install parse-video-nomark」即可一键安装,无需额外配置。
Parse Video - 视频去水印 是免费的吗?
是的,Parse Video - 视频去水印 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Parse Video - 视频去水印 支持哪些平台?
Parse Video - 视频去水印 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Parse Video - 视频去水印?
由 mackjosn(@mackjosn)开发并维护,当前版本 v1.0.1。
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