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Video Editor With No Ai
作者
whitejohnk-26
· GitHub ↗
· v1.0.0
· MIT-0
54
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-editor-with-no-ai
功能描述
Turn a 3-minute unedited screen recording into 1080p edited video clips just by typing what you need. Whether it's trimming and cutting videos without AI aut...
安全使用建议
This skill appears to be a legitimate cloud video editor, but there are a few red flags you should confirm before installing:
- Confirm where NEMO_TOKEN and any anonymous token will be stored and for how long; avoid writing long-lived tokens to global environment variables or files you don't control.
- Ask the author to reconcile the mismatch between registry metadata (no config paths) and SKILL.md frontmatter (~/.config/nemovideo/) — explicitly state whether the skill will read any local files or directories and why.
- Clarify how file uploads are handled: the instructions reference multipart uploads from local paths (files=@/path). Ensure the agent will only upload user-supplied media blobs you approve, not arbitrary local files.
- Because the skill reads its own frontmatter and attempts to detect install paths for an attribution header, verify the implementation will limit filesystem reads to the skill directory and not traverse other user folders.
- Prefer using ephemeral anonymous tokens (and in-memory storage) rather than persisting tokens on disk. If you must provide a token, create a scoped/test account with minimal privileges.
If the author can confirm these points and update the metadata to match the runtime instructions, the inconsistencies would be resolved. If they cannot, treat the skill as higher-risk and avoid granting it access to sensitive files or long-lived credentials.
功能分析
Type: OpenClaw Skill
Name: video-editor-with-no-ai
Version: 1.0.0
The skill provides a cloud-based video editing interface by interacting with the `nemovideo.ai` API. It includes detailed instructions for the agent to manage authentication (via `NEMO_TOKEN` or anonymous UUID generation), session state, file uploads, and video rendering. While it performs environment fingerprinting to determine the host platform (e.g., checking for `~/.clawhub/` or `~/.cursor/skills/`) for API attribution, its behaviors are consistent with its stated purpose and lack indicators of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The skill's stated purpose (cloud video editing) aligns with the API endpoints and the single required credential (NEMO_TOKEN). However the SKILL.md frontmatter includes a config path (~/.config/nemovideo/) and instructions to detect install paths for header attribution, while the registry metadata shows no required config paths — this mismatch is incoherent and worth clarifying.
Instruction Scope
Instructions require the agent to: (a) read the SKILL.md frontmatter at runtime to populate headers, (b) detect the agent's install path (~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform, and (c) potentially read or write session/token state. These actions imply filesystem access beyond simple API calls and are not reflected in the top-level requirements. The upload instructions reference multipart file paths (files=@/path) which assumes access to local file system locations for user media. The agent is also instructed to generate/store tokens; where and how to store them is unspecified.
Install Mechanism
No install spec or code is provided (instruction-only), so nothing will be downloaded or written by an installer. This lowers installation risk compared to skills that fetch remote binaries.
Credentials
Only NEMO_TOKEN is required, which is appropriate for a third-party service. But SKILL.md suggests creating an anonymous token if none exists and implies saving it (makes it effectively a credential). The frontmatter's mention of a config path (~/.config/nemovideo/) is not declared in the registry metadata and would grant access to user config files if read; this is disproportionate unless the skill explicitly needs and documents that file access.
Persistence & Privilege
The skill does not request always:true and does not ask to modify other skills or system-wide settings. Saving session_id or ephemeral tokens for a session is normal for this kind of integration, but the storage location is not specified and should be constrained to ephemeral memory or a clearly-scoped config path.
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 video-editor-with-no-ai - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-editor-with-no-ai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
v1.0.0
Initial release of Video Editor With No AI — edit and export videos manually on cloud GPUs.
- Upload raw video clips and describe the edits you want (trimming, cutting, transitions, etc).
- No timeline dragging or export settings — get a 1080p MP4 export in 1–2 minutes from upload.
- Simple setup: free credits with anonymous token; connects automatically.
- All video editing operations are manual, with no AI automation.
- Supports common formats (MP4, MOV, AVI, WebM, etc); max 500MB per file.
- Includes session handling, job status, and summary feedback in plain language.
元数据
常见问题
Video Editor With No Ai 是什么?
Turn a 3-minute unedited screen recording into 1080p edited video clips just by typing what you need. Whether it's trimming and cutting videos without AI aut... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 54 次。
如何安装 Video Editor With No Ai?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-editor-with-no-ai」即可一键安装,无需额外配置。
Video Editor With No Ai 是免费的吗?
是的,Video Editor With No Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video Editor With No Ai 支持哪些平台?
Video Editor With No Ai 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 Video Editor With No Ai?
由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。
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