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Text To Video Long Duration
作者
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
63
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-long-duration
功能描述
generate text prompts into long-form videos with this skill. Works with TXT, DOCX, PDF, SRT files up to 50MB. educators, marketers, content creators use it f...
安全使用建议
This skill appears to be a client for a third‑party video rendering service and will upload files and call mega-api-prod.nemovideo.ai. Before installing or invoking: (1) Decide whether you want the agent to auto‑obtain an anonymous token (the skill will call an auth endpoint if NEMO_TOKEN is not present) — if not, provide your NEMO_TOKEN yourself. (2) Confirm you are comfortable uploading the files you will send (scripts, media) to that external domain and review the service’s privacy/terms. (3) Ask the publisher to clarify the inconsistencies (supported file types, expected render time, and whether ~/.config/nemovideo/ will be accessed). (4) If you prefer tighter control, require that the skill not auto-fetch tokens and require explicit user confirmation before any file upload or token exchange.
功能分析
Type: OpenClaw Skill
Name: text-to-video-long-duration
Version: 1.0.0
The skill is a legitimate integration for a text-to-video generation service hosted at nemovideo.ai. The SKILL.md file provides clear instructions for the AI agent to manage authentication via anonymous tokens, handle file uploads, and interact with a cloud-based rendering pipeline. It includes standard security practices such as instructing the agent not to expose tokens and handles attribution through specific headers (X-Skill-Source, X-Skill-Platform). No indicators of data exfiltration, malicious execution, or harmful prompt injection were identified.
能力评估
Purpose & Capability
The skill claims to produce long-form videos and documents a cloud API and upload workflow that match that purpose. However there are mismatches: the registry metadata lists NEMO_TOKEN as a required env var, yet the SKILL.md provides an anonymous-token fallback flow (it will POST to an external endpoint to obtain a token). The description initially states support for TXT/DOCX/PDF/SRT up to 50MB but later the API accepts many media types (mp4, jpg, mp3, etc.) and the documented render time is inconsistent (3–6 minutes vs 30–90 seconds). Also SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths. These inconsistencies affect trust in what the skill actually requires.
Instruction Scope
Instructions are explicit about calling the mega-api-prod.nemovideo.ai endpoints, uploading user files, controlling sessions, and using SSE. Those actions are coherent for a cloud render service. Points to note: the skill instructs the agent to read the skill's YAML frontmatter at runtime and to attempt to detect install path (~/.clawhub/, ~/.cursor/skills/) which implies filesystem checks beyond pure API calls. It also instructs automatic anonymous token acquisition if NEMO_TOKEN is missing — meaning network calls will be initiated automatically. None of these are clearly malicious, but they expand what the agent will do automatically.
Install Mechanism
Instruction-only skill with no install spec or bundled code — lowest installation risk. No downloads or extracts are requested.
Credentials
The skill declares a single primary credential (NEMO_TOKEN), which is proportionate for a cloud API. However the SKILL.md both treats NEMO_TOKEN as required and also documents an anonymous-token flow that will create/consume a token automatically. The frontmatter also references a config path (~/.config/nemovideo/) not reflected in the registry metadata. This mismatch (declared required env var vs automatic token generation, and the unexpected config path) reduces clarity about what secrets or files the skill legitimately needs.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent/privileged installation or modify other skills. It does expect to maintain a session_id in-memory for the session, which is normal for a remote API client.
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-long-duration - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-to-video-long-duration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 Long Duration" skill.
- Generate long-form 1080p MP4 videos from text prompts or scripts (TXT, DOCX, PDF, SRT, up to 50MB).
- Cloud-based workflow with automatic session/token setup; no local install needed.
- Accepts video, audio, and image uploads for richer video compositions.
- Includes error handling for file types, size limits, credits, and authentication.
- Supports iterative editing, preview, and streamlined export with credit management.
元数据
常见问题
Text To Video Long Duration 是什么？
generate text prompts into long-form videos with this skill. Works with TXT, DOCX, PDF, SRT files up to 50MB. educators, marketers, content creators use it f... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 63 次。
如何安装 Text To Video Long Duration？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-long-duration」即可一键安装，无需额外配置。
Text To Video Long Duration 是免费的吗？
是的，Text To Video Long Duration 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Text To Video Long Duration 支持哪些平台？
Text To Video Long Duration 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 Long Duration？
由 dsewell-583h0（@dsewell-583h0）开发并维护，当前版本 v1.0.0。
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