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Trimmer Canva
作者
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
67
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trimmer-canva
功能描述
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 "...
安全使用建议
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.
功能分析
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.
能力评估
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.
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-canva - 安装完成后，直接呼叫该 Skill 的名称或使用
/trimmer-canva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
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.
元数据
常见问题
Trimmer Canva 是什么？
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 "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 67 次。
如何安装 Trimmer Canva？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trimmer-canva」即可一键安装，无需额外配置。
Trimmer Canva 是免费的吗？
是的，Trimmer Canva 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Trimmer Canva 支持哪些平台？
Trimmer Canva 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 Canva？
由 dsewell-583h0（@dsewell-583h0）开发并维护，当前版本 v1.0.0。
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