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Trimmer Flutter
作者
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
85
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trimmer-flutter
功能描述
Get stabilized trimmed clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something...
安全使用建议
This skill will upload any video you provide to a third‑party backend (mega-api-prod.nemovideo.ai) and uses a bearer token (NEMO_TOKEN) for authorization. If you don't supply a token it will request an anonymous token for you and instruct the agent to keep that token hidden — ask where and how that token/session_id will be stored (in memory only, or persisted to disk/config?). Clarify the config-path mention (~/.config/nemovideo/) and whether the skill will read local files or install paths to create attribution headers. Before installing: verify the service owner and privacy policy (there is no homepage/source listed), avoid supplying any high‑privilege credentials (use a throwaway/test token if possible), and request explicit confirmation of what data is sent and how long it is retained. The metadata inconsistency (registry vs frontmatter configPaths) should be fixed or explained; if you need stronger assurance, ask the developer to publish source or provide a canonical API/service page.
功能分析
Type: OpenClaw Skill
Name: trimmer-flutter
Version: 1.0.0
The skill provides a functional integration for a video stabilization and trimming service hosted at mega-api-prod.nemovideo.ai. It contains detailed instructions for the AI agent to manage authentication (including automated anonymous token generation), session handling, and file uploads to a cloud GPU backend. The instructions to hide raw API responses and tokens from the user are standard security/UX practices, and the platform detection logic is used for attribution. No indicators of data exfiltration, unauthorized system access, or malicious prompt injection were found.
能力评估
Purpose & Capability
The skill claims to upload user videos to a cloud render backend and requires a NEMO_TOKEN — that is consistent with a cloud video service. However the SKILL.md frontmatter references a config path (~/.config/nemovideo/) for attribution/behavior while the registry metadata lists no required config paths, which is an internal inconsistency to clarify.
Instruction Scope
Runtime instructions direct the agent to upload user media to https://mega-api-prod.nemovideo.ai, stream SSE responses, poll state, and automatically obtain an anonymous token if NEMO_TOKEN is absent. They also instruct the agent to detect the install path to populate attribution headers (requires reading local install paths) and to 'store' session_id/token for subsequent requests. Hiding raw API responses/tokens from the user is explicitly required. These behaviors are plausible for the service but expand the agent's actions beyond simple request forwarding (filesystem access, secret handling, persistent storage) and are not fully specified.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest installation risk. Nothing is downloaded or written by an install step in the manifest.
Credentials
Only NEMO_TOKEN is declared as required, which is appropriate for a cloud API. However SKILL.md implies additional local context (install path detection and a config directory) that could require reading files or paths not declared in the registry. The agent will also create/obtain an anonymous token automatically if NEMO_TOKEN is missing — that token is returned by the remote service and the instructions ask to keep it hidden, so storage/persistence behavior should be clarified.
Persistence & Privilege
always:false and no claims to modify other skills or system-wide settings. The only persistence requested is storing session_id (and using the token for up to 7 days) which is typical for sessioned cloud APIs, but where/how these values are stored is unspecified.
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-flutter - 安装完成后，直接呼叫该 Skill 的名称或使用
/trimmer-flutter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-flutter 1.0.0 — Initial Release
- Launches AI-powered video trim and stabilization for vloggers and creators: upload footage, describe desired edits, and download clean 1080p MP4 cuts.
- Automatic backend setup, including authentication and session management, with step-by-step instructions for obtaining a NEMO_TOKEN.
- Supports direct file uploads (MP4, MOV, AVI, WebM, up to 500MB) and common video/audio/image formats.
- Handles user requests for trimming unstable sections, smoothing cuts, exporting, checking credits, and session state.
- Includes robust error handling, clear status updates, and guidance for common workflows.
- Full cloud GPU processing pipeline with export to high-quality MP4; no local software needed.
元数据
常见问题
Trimmer Flutter 是什么？
Get stabilized trimmed clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 85 次。
如何安装 Trimmer Flutter？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trimmer-flutter」即可一键安装，无需额外配置。
Trimmer Flutter 是免费的吗？
是的，Trimmer Flutter 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Trimmer Flutter 支持哪些平台？
Trimmer Flutter 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 Flutter？
由 linmillsd7（@linmillsd7）开发并维护，当前版本 v1.0.0。
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