← 返回 Skills 市场
Trimmer Adobe
作者
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
58
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trimmer-adobe
功能描述
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...
安全使用建议
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.
功能分析
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.
能力评估
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.
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-adobe - 安装完成后，直接呼叫该 Skill 的名称或使用
/trimmer-adobe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
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.
元数据
常见问题
Trimmer Adobe 是什么？
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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 58 次。
如何安装 Trimmer Adobe？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trimmer-adobe」即可一键安装，无需额外配置。
Trimmer Adobe 是免费的吗？
是的，Trimmer Adobe 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Trimmer Adobe 支持哪些平台？
Trimmer Adobe 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 Adobe？
由 susan4731-wilfordf（@susan4731-wilfordf）开发并维护，当前版本 v1.0.0。
推荐 Skills