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Text To Video Leaderboard
作者
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
84
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-leaderboard
功能描述
Skip the learning curve of professional editing software. Describe what you want — compare top text-to-video AI models and rank which one best rendered my pr...
安全使用建议
This skill appears to do what it says: it will send your uploaded media and prompts to mega-api-prod.nemovideo.ai and use a NEMO_TOKEN (it can obtain a 7-day anonymous token if you don't provide one). Before installing, consider: (1) privacy — your videos and prompts will be uploaded to the nemo backend; (2) storage/credits — uploads can be up to 500MB and the service uses credits; (3) token handling — the skill stores session tokens for subsequent requests; and (4) trust — only install if you trust the nemo service and are comfortable with those uploads. No other credentials or system-wide access are requested.
功能分析
Type: OpenClaw Skill
Name: text-to-video-leaderboard
Version: 1.0.0
The skill is a legitimate integration for a text-to-video ranking service hosted at nemovideo.ai. It manages session-based video processing, uploads, and exports via standard REST and SSE endpoints. The instructions in SKILL.md correctly guide the agent through authentication (using NEMO_TOKEN or an anonymous token) and task execution without any evidence of data exfiltration, unauthorized system access, or malicious prompt injection.
能力评估
Purpose & Capability
Name/description (compare and rank text→video models) match the declared requirements: a single service token (NEMO_TOKEN) and a config path for nemo. Requested headers, endpoints, and upload semantics all align with a cloud video-rendering/leaderboard backend.
Instruction Scope
SKILL.md instructs only to check/create NEMO_TOKEN, create a session, upload videos, call SSE and render endpoints, and poll session state. It does not direct reading unrelated system files or other credentials; file uploads and multipart paths are expected for this functionality.
Install Mechanism
No install spec or external downloads — instruction-only. Nothing is written to disk by an installer and no third-party packages are pulled in by the skill itself.
Credentials
Only NEMO_TOKEN is required (primaryEnv) and the declared config path (~/.config/nemovideo/) is consistent with the service. The skill also describes generating an anonymous token when none is present, which is proportionate to its purpose.
Persistence & Privilege
always is false and the skill does not request elevated or system-wide configuration changes. It expects to store and reuse session tokens for the service, which is normal for this sort of integration.
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 text-to-video-leaderboard - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-to-video-leaderboard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 text-to-video-leaderboard.
- Upload videos or use text prompts to compare and rank results from top AI text-to-video models.
- Fast cloud rendering pipeline delivers ranked video results in 30–60 seconds.
- Supports uploads of MP4, MOV, WebM, GIF files up to 500MB.
- Automated session setup with free 7-day token and 100 credits for new users.
- Easily check credits, session status, and export final videos as 1080p MP4.
- Clear instructions and robust error handling for smooth user experience.
元数据
常见问题
Text To Video Leaderboard 是什么？
Skip the learning curve of professional editing software. Describe what you want — compare top text-to-video AI models and rank which one best rendered my pr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 84 次。
如何安装 Text To Video Leaderboard？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-leaderboard」即可一键安装，无需额外配置。
Text To Video Leaderboard 是免费的吗？
是的，Text To Video Leaderboard 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Text To Video Leaderboard 支持哪些平台？
Text To 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 Text To Video Leaderboard？
由 vcarolxhberger（@vcarolxhberger）开发并维护，当前版本 v1.0.0。
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