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Install in OpenClaw
/install midea-nomark
Description
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...
Usage Guidance
This skill appears to do what it says at the script level, but its core functionality is inside closed-source binaries that are not included or auditable in the package — that is the primary risk. Before installing or running: 1) obtain the actual binaries and verify they come from a trusted source and have published checksums or signatures; 2) prefer source or audited builds; 3) if you must run them, do so in a sandbox/VM or isolated container and monitor network traffic; 4) avoid running on machines with sensitive credentials or data available; 5) ask the publisher for source code or reproducible build instructions and a Linux binary if you need Linux support. If the author cannot supply verifiable binaries or source, treat this package with caution.
Capability Analysis
Type: OpenClaw Skill
Name: midea-nomark
Version: 1.0.2
The skill relies entirely on the execution of opaque, pre-compiled binaries located in the 'assets/' directory (e.g., parse-video-darwin-arm64). While the provided shell scripts (scripts/parse.sh and scripts/serve.sh) are simple wrappers for these binaries, the core logic is hidden and not open-source, which poses a risk of unauthorized network activity or data exfiltration. The inclusion of a 'serve' command that opens a local HTTP port further increases the attack surface without visibility into the binary's internal behavior.
Capability Assessment
Purpose & Capability
Name/description, scripts, and README all describe a local video parsing/no-watermark tool and the scripts only invoke a local 'parse-video-<os>-<arch>' binary, which is coherent with the stated purpose. However, the package claims local binaries exist but the listed assets are missing from the provided files and README/platform listing mismatches (Linux binary referenced in scripts but not in README assets). The README explicitly states the binary is closed-source ('不开源可执行文件'), which is expected for a binary-only parser but reduces auditability.
Instruction Scope
SKILL.md and the two shell scripts remain narrowly scoped: they detect OS/arch, make a shipped binary executable, then run it with 'parse <url>' or 'serve -p <port>'. The instructions do not tell the agent to read unrelated files or env vars. Concern: the actual network activity and data handling are delegated to an opaque binary (not present for review), so the runtime behavior (what is sent/received, whether other local files are read) cannot be verified from these instructions alone.
Install Mechanism
There is no install spec (instruction-only), which limits supply-chain risk from installers — but the skill relies on prebuilt binaries under assets/. Those binaries are not included in the provided file list; README enumerates some assets but they don't match scripts' expectations (scripts expect Linux binary too). Running unknown, closed-source binaries is high-risk because they could perform hidden network I/O or local data access; no checksums, no source, and no authoritative release URLs are provided.
Credentials
The skill declares no required env vars or credentials and the scripts do not read environment variables or config files. That is proportionate. Nonetheless, because the core logic runs in an opaque binary, that binary could request or transmit secrets at runtime; the lack of declared env requirements makes such behavior non-obvious and harder to detect.
Persistence & Privilege
The skill is not marked 'always:true' and doesn't request persistent system configuration. The serve mode runs a local HTTP server (expected for a local UI) but that is limited scope and user-invoked.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install midea-nomark - After installation, invoke the skill by name or use
/midea-nomark - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
**parse-video 1.0.2**
重命名与扩展:Skill 从 "midea-nomark" 升级为全平台视频无水印解析,支持 20+ 视频/图片平台。
- Skill 名称从“midea-nomark”改为“parse-video”,功能覆盖抖音、快手、小红书、微博、西瓜、B站、豆包、云雀等主流视频平台。
- 增加二进制与脚本:加入多系统 parse-video 程序(darwin/amd64、darwin/arm64、win64)、一键解析脚本 (parse.sh)、服务启动脚本 (serve.sh)。
- 移除过时文档和脚本,精简 references/api_docs.md、parse_doubao.py、start_server.sh 等。
- 更新并简化文档,更强的平台描述与用法示例。
- 支持一键命令行解析、CLI 和 Web UI 服务三种使用方式。
v1.0.1
- Skill name changed from "doubao-nomark" to "midea-nomark".
- Added _skillhub_meta.json file for SkillHub integration.
- Expanded and clarified the security section in documentation, explicitly noting that no executable binaries are included and describing how binaries are downloaded and verified.
- All other functionalities and usage instructions remain unchanged.
v1.0.0
- Initial release of the skill, now renamed to doubao-nomark.
- Supports extracting images (without watermark) from Doubao conversation threads.
- Supports parsing and downloading Doubao and Yunque (jianying.com) video links without watermarks.
- Fully automated: downloads required binaries, starts the service, and processes links with one command.
- Local API provided for programmatic access and batch downloads.
Metadata
Frequently Asked Questions
What is 视频去除水印?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.
How do I install 视频去除水印?
Run "/install midea-nomark" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 视频去除水印 free?
Yes, 视频去除水印 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 视频去除水印 support?
视频去除水印 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 视频去除水印?
It is built and maintained by mackjosn (@mackjosn); the current version is v1.0.2.
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