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Trimmer In
by
mhogan2013-9
· GitHub ↗
· v1.0.0
· MIT-0
58
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Install in OpenClaw
/install trimmer-in
Description
Turn a 3-minute interview recording with long pauses into 1080p trimmed video clips just by typing what you need. Whether it's cutting unwanted sections from...
Usage Guidance
This skill uploads your raw video/audio to an external service (mega-api-prod.nemovideo.ai). Before installing or using it: (1) confirm the service owner and read a privacy/security policy — there is no homepage or source link provided; (2) decide whether you trust a third party with your footage (sensitive content should not be uploaded until you verify policies); (3) ask the publisher to explain the configPath discrepancy (~/.config/nemovideo/ present in SKILL.md but not in registry metadata) and why the skill probes install paths; (4) if you require transparency, request the skill's source code or a known release host for the backend. If you proceed, prefer supplying your own NEMO_TOKEN (vs. allowing anonymous-token issuance) and avoid uploading highly sensitive materials until the backend identity and policies are confirmed.
Capability Assessment
Purpose & Capability
The skill claims to send user video to a cloud rendering backend (nemovideo.ai) and the SKILL.md contains the exact endpoints and flows to do that, so required env var NEMO_TOKEN is appropriate. However the SKILL.md frontmatter lists a required config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this mismatch is unexplained.
Instruction Scope
Instructions are explicit about token acquisition, session creation, SSE streaming, uploads and polls — all consistent with a cloud trimming service. They also instruct reading the skill's YAML frontmatter and detecting the agent install path (e.g., ~/.clawhub/, ~/.cursor/skills/) to create attribution headers. Probing install paths and reading frontmatter are out-of-band filesystem accesses relative to the stated task and should be validated.
Install Mechanism
This is an instruction-only skill with no install spec or code to write to disk, which is the lowest install risk.
Credentials
Requesting a single NEMO_TOKEN is proportionate for a cloud service. The skill also implements an anonymous-token flow (POST to mega-api-prod.nemovideo.ai) if NEMO_TOKEN isn't present; that behavior is reasonable but means the skill can obtain a token itself. The earlier configPath inconsistency is a minor concern.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and only maintains an ephemeral session token for render jobs. Autonomous invocation is allowed by default (normal) but does increase blast radius if the backend or skill were malicious.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trimmer-in - After installation, invoke the skill by name or use
/trimmer-in - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
trimmer-in v1.0.0
- Initial release offering AI-powered video trimming and export via cloud processing.
- Supports natural language instructions to trim, cut, or edit uploaded video files—no timeline dragging required.
- Fast processing (20–40 seconds for short clips); outputs 1080p MP4 by default.
- Integrated session-based workflow with automatic authentication and credits management.
- Handles a wide range of common video/audio/image formats; up to 500MB per file.
- User-friendly error handling and feedback throughout the upload, edit, and export process.
Metadata
Frequently Asked Questions
What is Trimmer In?
Turn a 3-minute interview recording with long pauses into 1080p trimmed video clips just by typing what you need. Whether it's cutting unwanted sections from... It is an AI Agent Skill for Claude Code / OpenClaw, with 58 downloads so far.
How do I install Trimmer In?
Run "/install trimmer-in" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trimmer In free?
Yes, Trimmer In is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trimmer In support?
Trimmer In is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trimmer In?
It is built and maintained by mhogan2013-9 (@mhogan2013-9); the current version is v1.0.0.
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