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mory128

Video Leaderboard

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
51
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-leaderboard
功能描述
Turn a 2-minute gameplay or competition highlight video into 1080p leaderboard overlay video just by typing what you need. Whether it's adding ranked leaderb...
安全使用建议
This skill appears to do what it says: it uses a Nemo API token to upload clips, run cloud rendering, and return downloadable videos. Before installing or using it: (1) Confirm you trust the API host (mega-api-prod.nemovideo.ai) and understand their data/retention and privacy policies for uploaded videos; (2) Ask the publisher to resolve the metadata mismatch: SKILL.md references ~/.config/nemovideo/ while the registry lists no config paths — ask whether the skill will read local config files and what it stores there; (3) Be aware the skill may probe install paths to set an attribution header — request confirmation it will NOT read other files beyond user-supplied uploads and the optional NEMO_TOKEN; (4) If you are uneasy, avoid setting a permanent NEMO_TOKEN in your environment and instead use a disposable/limited token or the anonymous-token flow; (5) If you need higher assurance, request the skill owner to publish a homepage or source so you can review server-side privacy/retention and any SLA for orphaned render jobs.
功能分析
Type: OpenClaw Skill Name: video-leaderboard Version: 1.0.0 The video-leaderboard skill is a functional integration for a cloud-based video processing service (nemovideo.ai). It provides detailed instructions for an AI agent to handle authentication, video uploads, and remote GPU rendering via a structured API. While it includes logic to detect the host environment (e.g., Cursor or Clawhub) for telemetry/attribution headers, its behavior is strictly aligned with its stated purpose of video editing and lacks any indicators of malicious intent, such as unauthorized data access or command execution.
能力评估
Purpose & Capability
The skill's name/description (video leaderboard rendering) aligns with the runtime actions (calls to a nemovideo API to upload clips, run SSE generation, and fetch render outputs). Requesting a single service token (NEMO_TOKEN) is proportional. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this is an inconsistency worth clarifying.
Instruction Scope
Instructions stay inside the video-processing domain: they authenticate, create a session, upload video files or URLs, stream SSE messages, poll renders, and return download URLs. They do instruct the agent to read NEMO_TOKEN if present and to perform multipart uploads from file paths (e.g., -F "files=@/path"). The doc also tells the agent to infer an install path (~/.clawhub/ or ~/.cursor/skills/) to set an attribution header, which implies checking filesystem paths that are unrelated to actual video uploads — this is unexpected and should be clarified.
Install Mechanism
No install spec or code is provided (instruction-only). That minimizes disk-write and execution risk; nothing is downloaded from external URLs by an installer.
Credentials
Only one credential is required: NEMO_TOKEN (declared as primary). That is appropriate for a remote-rendering API. Caveats: SKILL.md claims a config path (~/.config/nemovideo/) in its frontmatter (possible local config/token storage) which is not declared in the registry metadata — potential mismatch. The skill will also generate an anonymous token via the API if NEMO_TOKEN is absent; that behavior is reasonable but means the skill can obtain and store tokens on your behalf.
Persistence & Privilege
always:false and normal autonomous invocation settings. The skill instructs saving session_id for job tracking (expected). It does not request persistent platform-wide privileges or modifications to other skills.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install video-leaderboard
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-leaderboard 触发
  4. 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 Video Leaderboard 1.0.0 - Instantly add ranked leaderboard overlays to gameplay or competition highlight videos—no timeline needed. - Accepts uploads of video clips (up to 3 minutes suggested, 500MB max) with simple, descriptive text instructions. - Server-side 1080p rendering returns a downloadable MP4 in 30–60 seconds. - Automatic cloud connection and credit management; no manual API setup required. - Supports exporting, balance checks, session status, and multi-format outputs. - Step-by-step prompt guidance for common workflows and tips for best results.
元数据
Slug video-leaderboard
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Video Leaderboard 是什么?

Turn a 2-minute gameplay or competition highlight video into 1080p leaderboard overlay video just by typing what you need. Whether it's adding ranked leaderb... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 51 次。

如何安装 Video Leaderboard?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-leaderboard」即可一键安装,无需额外配置。

Video Leaderboard 是免费的吗?

是的,Video Leaderboard 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Video Leaderboard 支持哪些平台?

Video Leaderboard 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 Video Leaderboard?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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