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Trimmer Cutter
作者
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
45
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trimmer-cutter
功能描述
Turn a 10-minute raw interview recording into 1080p trimmed edited clips just by typing what you need. Whether it's cutting and trimming video clips to remov...
安全使用建议
This skill will upload the videos you provide to an external service at mega-api-prod.nemovideo.ai and requires a NEMO_TOKEN (or it will obtain a temporary anonymous token automatically). Before installing/use: (1) Confirm you are comfortable with your video content leaving your device and being processed by that remote service; (2) Prefer to supply your own token only if you trust the service and know what that token grants; (3) Be aware the skill's instructions suggest it may check local directories (e.g., ~/.clawhub/, ~/.cursor/skills/, ~/.config/nemovideo/) to set an attribution header — if you prefer to avoid any filesystem probing, do not grant the skill access or run it in an environment without those paths; (4) Note the SKILL.md frontmatter and the registry metadata disagree about config paths — ask the publisher for clarification if you need stronger assurances about what local data the skill will read. If you handle sensitive or regulated footage, avoid using this skill until you confirm the service's privacy/retention policies.
功能分析
Type: OpenClaw Skill
Name: trimmer-cutter
Version: 1.0.0
The 'trimmer-cutter' skill is a legitimate integration for a cloud-based video editing service (nemovideo.ai). It provides instructions for an AI agent to manage sessions, upload media, and trigger video rendering via the 'mega-api-prod.nemovideo.ai' backend. All network activities and file accesses (such as reading configuration from ~/.config/nemovideo/) are directly related to the stated purpose of video processing, and no indicators of malicious intent or data exfiltration were found.
能力评估
Purpose & Capability
The name/description (video trimming/cutting) aligns with the instructions (upload video, create session, SSE editing, export). Requesting a single API token (NEMO_TOKEN) is proportionate for a cloud render service. However, the SKILL.md metadata lists a config path (~/.config/nemovideo/) that is not reflected in the registry metadata — a minor incoherence.
Instruction Scope
Runtime instructions direct uploads of user video files and polling the remote API (expected). They also describe deriving an X-Skill-Platform header from an 'install path' by checking local directories (~/.clawhub/, ~/.cursor/skills/) and reference a local config path in the frontmatter — this implies the agent may check the filesystem to determine headers/platform, which is outside a pure 'upload/edit' scope. The skill will POST user data to https://mega-api-prod.nemovideo.ai; uploading potentially sensitive videos to an external service is normal for this service but is a privacy/security consideration that users should know about.
Install Mechanism
No install spec or code files — instruction-only skill. This is low-risk from an install perspective (nothing is downloaded or written by an installer).
Credentials
Only one credential is required (NEMO_TOKEN), which is consistent with using a third-party API. The SKILL.md also documents obtaining an anonymous token if none is present. The presence of a config path in SKILL.md (~/.config/nemovideo/) that wasn't listed in the registry is an inconsistency worth noting; otherwise, there are no unrelated credentials requested.
Persistence & Privilege
The skill is not declared 'always: true' and uses the platform default allowing autonomous invocation. It does not request persistent system-level privileges or modification of other skills' configs in the documentation.
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 trimmer-cutter - 安装完成后,直接呼叫该 Skill 的名称或使用
/trimmer-cutter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: Fast, text-based video trimming and editing with cloud-backed processing.
- Upload interviews or video clips and describe edits (e.g., trim silences, cut segments); get 1080p results in under a minute.
- No timeline dragging or export settings — type instructions, download finished clips.
- Handles uploads, status checks, credit balance, and exports with simple commands.
- Secure backend connection using token or free credits; supports most common video/audio/image formats.
- Easy batch and iterative editing in an ongoing session; clear feedback on errors and processing times.
元数据
常见问题
Trimmer Cutter 是什么?
Turn a 10-minute raw interview recording into 1080p trimmed edited clips just by typing what you need. Whether it's cutting and trimming video clips to remov... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 45 次。
如何安装 Trimmer Cutter?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trimmer-cutter」即可一键安装,无需额外配置。
Trimmer Cutter 是免费的吗?
是的,Trimmer Cutter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Trimmer Cutter 支持哪些平台?
Trimmer Cutter 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 Trimmer Cutter?
由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。
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