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Trimmer Adobe
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
58
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install trimmer-adobe
Description
Skip the learning curve of professional editing software. Describe what you want — trim the silent gaps and cut the clip down to 2 minutes — and get trimmed...
Usage Guidance
This skill will upload whatever video you give it to mega-api-prod.nemovideo.ai and use a bearer token (NEMO_TOKEN) for auth. Before installing or using it: 1) Confirm you trust the nemo service and the domain (privacy, retention, and deletion policies). 2) If videos contain sensitive content, do not use the skill until you can verify data handling. 3) Clarify whether you must set NEMO_TOKEN (manifest says required) or if the skill will create an anonymous token—ask the developer to fix the manifest mismatch. 4) Prefer providing a limited-scope, short-lived token rather than a long-lived account token. 5) If you want to test, try a short, non-sensitive clip first. Additional info that would increase confidence: a homepage/privacy policy for nemo, official developer contact, and explicit statements about how long uploaded media and generated tokens are retained and whether they can be removed on request.
Capability Analysis
Type: OpenClaw Skill
Name: trimmer-adobe
Version: 1.0.0
The trimmer-adobe skill is a legitimate tool for AI-assisted video editing using the nemovideo.ai backend (mega-api-prod.nemovideo.ai). The SKILL.md provides clear instructions for the agent to manage sessions, upload files, and handle video processing tasks via a REST API. No malicious behaviors such as data exfiltration or unauthorized execution were identified; the requested environment variables (NEMO_TOKEN) and configuration paths (~/.config/nemovideo/) are specific to the service's own operation and aligned with its stated purpose.
Capability Assessment
Purpose & Capability
The name/description (AI video trimming) aligns with the API endpoints and actions described in SKILL.md (upload, render, export). Requesting a single NEMO_TOKEN credential is proportionate for a cloud service. However, the manifest lists NEMO_TOKEN as required while the SKILL.md describes obtaining an anonymous token itself if NEMO_TOKEN is absent — this mismatch in 'required' vs 'optional via anonymous auth' is inconsistent. The metadata also lists a config path (~/.config/nemovideo/) that the instructions don't actually read or write, which is unnecessary or at least unexplained.
Instruction Scope
The instructions direct the agent to perform network operations to mega-api-prod.nemovideo.ai (session creation, SSE, file upload, render polling) and to upload user-supplied files (multipart or via URL). Those actions are within the expected scope for a cloud-trimming service. Important user-impacting behaviors: videos (potentially sensitive) will be transmitted to a third-party service, and the agent may create an anonymous bearer token on your behalf. The SKILL.md asks the agent not to expose tokens but does not specify retention, data deletion, or retention of uploaded media—these privacy details are missing.
Install Mechanism
Instruction-only skill with no install spec or code files. This has low install risk because nothing is downloaded or written by an installer; all runtime activity is via the agent following SKILL.md network instructions.
Credentials
Only one credential (NEMO_TOKEN) is declared, which is appropriate. However, the manifest declares NEMO_TOKEN as required while the runtime instructions implement anonymous-token acquisition when it's absent — an inconsistency that should be clarified. The metadata's configPaths entry (~/.config/nemovideo/) is declared but the SKILL.md doesn't instruct reading/writing that path; unnecessary config path declarations can broaden permitted access without explanation. The token is a bearer credential for uploads/renders—granting it permits the service to operate on uploaded media, so confirm you trust the endpoint before providing a long-lived token.
Persistence & Privilege
always is false; the skill does not request permanent inclusion or system-wide changes. The SKILL.md describes creating ephemeral session tokens and session IDs for renders, which is normal. There is no instruction to alter other skills or agent system configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trimmer-adobe - After installation, invoke the skill by name or use
/trimmer-adobe - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Trimmer Adobe 1.0.0 — Initial Release
- Instantly trim and export video clips via simple user instructions—no editing software knowledge required.
- Supports uploading MP4, MOV, AVI, and WebM files (up to 500MB) for cloud-based AI video trimming.
- Automatic connection and authentication with the cloud backend (100 free credits, 7-day trial for new users).
- Offers rapid rendering on remote GPU nodes, returning processed videos in 30–90 seconds.
- Built-in commands for uploading, trimming, exporting, checking credits, and monitoring status.
- Clear error handling, workflow tips, and support for seamless iterative video editing.
Metadata
Frequently Asked Questions
What is Trimmer Adobe?
Skip the learning curve of professional editing software. Describe what you want — trim the silent gaps and cut the clip down to 2 minutes — and get trimmed... It is an AI Agent Skill for Claude Code / OpenClaw, with 58 downloads so far.
How do I install Trimmer Adobe?
Run "/install trimmer-adobe" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trimmer Adobe free?
Yes, Trimmer Adobe is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trimmer Adobe support?
Trimmer Adobe is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trimmer Adobe?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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