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Trimmer Canva
by
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
67
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install trimmer-canva
Description
Get trimmed video clips ready to post, without touching a single slider. Upload your raw video clips (MP4, MOV, WebM, AVI, up to 500MB), say something like "...
Usage Guidance
This skill appears to do what it says: it will upload your videos to nemo's cloud rendering service and return trimmed exports. Before installing or using it: (1) Confirm you trust the external domain (mega-api-prod.nemovideo.ai) and the unknown publisher — there is no homepage or provenance provided. (2) Do not supply a high-privilege token; check what permissions the NEMO_TOKEN grants and prefer an account/token with limited scope or use the anonymous flow for testing. (3) Test with non-sensitive, short clips first to verify behavior and output. (4) Be aware that uploaded media will leave your device and may be stored/processed by the remote service; review any available privacy/terms if you can locate them. (5) If you need the skill to avoid sending certain sensitive content, do not use it until you can confirm the provider's policies. If you want higher assurance, ask the publisher for a homepage, documentation, or a public audit of their API before proceeding.
Capability Analysis
Type: OpenClaw Skill
Name: trimmer-canva
Version: 1.0.0
The skill is a legitimate integration for a video trimming service hosted at mega-api-prod.nemovideo.ai. It provides clear instructions for the AI agent to manage sessions, upload video files, and poll for rendering status. The authentication flow (using NEMO_TOKEN or an anonymous token) and the use of attribution headers (X-Skill-Source) are standard for cloud-integrated tools and do not show signs of data exfiltration or malicious intent.
Capability Assessment
Purpose & Capability
Name/description (trim Canva-exported videos) aligns with the runtime instructions which call a remote video-processing API. Declared primary credential (NEMO_TOKEN) and endpoints match the expected need to authenticate to a third-party render service.
Instruction Scope
Instructions are focused on creating sessions, uploading media, streaming SSE edits, polling export status and returning a download URL — all consistent with a cloud trimming service. Important privacy note: user-supplied video/audio files are uploaded to the external domain. The SKILL.md also instructs generating anonymous tokens when NEMO_TOKEN is absent. There is no instruction to read arbitrary local files or unrelated environment variables.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest-risk install profile.
Credentials
Only a single credential (NEMO_TOKEN) is required and used as a bearer token for the service. The metadata lists a config path (~/.config/nemovideo/) but the runtime instructions do not instruct reading that path. Re-issuing anonymous tokens when missing is documented. Users should consider what privileges the NEMO_TOKEN grants on the remote service.
Persistence & Privilege
always:false and no install steps that modify other skills or system state. The skill does not request permanent presence or elevated platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trimmer-canva - After installation, invoke the skill by name or use
/trimmer-canva - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of trimmer-canva.
- Instantly trim and export Canva videos through simple chat prompts, no manual editing required.
- Supports uploading MP4, MOV, WebM, AVI files up to 500MB.
- Automatic backend session and token management for quick start without registration.
- 1080p MP4 export with fast cloud processing (~30–90 seconds per render).
- Clear feedback on connection, status, errors, and supported actions throughout the workflow.
Metadata
Frequently Asked Questions
What is Trimmer Canva?
Get trimmed video clips ready to post, without touching a single slider. Upload your raw video clips (MP4, MOV, WebM, AVI, up to 500MB), say something like "... It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.
How do I install Trimmer Canva?
Run "/install trimmer-canva" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trimmer Canva free?
Yes, Trimmer Canva is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trimmer Canva support?
Trimmer Canva is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trimmer Canva?
It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.
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