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Trimmer Cutter
by
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
45
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install trimmer-cutter
Description
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...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trimmer-cutter - After installation, invoke the skill by name or use
/trimmer-cutter - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Trimmer Cutter?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.
How do I install Trimmer Cutter?
Run "/install trimmer-cutter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trimmer Cutter free?
Yes, Trimmer Cutter is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trimmer Cutter support?
Trimmer Cutter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trimmer Cutter?
It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.
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