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Text To Video Kaise Banaye
作者
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
75
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-kaise-banaye
功能描述
Turn a 100-word product description in Hindi into 1080p AI generated videos just by typing what you need. Whether it's converting written content into videos...
安全使用建议
This skill appears to do what it says (calls nemo video APIs) and only asks for one credential (NEMO_TOKEN), but there are a few things to consider before installing:
- Network endpoints: all API calls go to mega-api-prod.nemovideo.ai. If you have policy concerns about that domain, do not install.
- Token handling: the skill will auto-request an anonymous token if NEMO_TOKEN is not present and suggests storing session_id/token for later use. If you prefer control, set NEMO_TOKEN yourself rather than letting the skill create one automatically, and periodically revoke tokens you don't recognize.
- Filesystem probing: the instructions ask the agent to detect install paths (e.g., ~/.clawhub, ~/.cursor) and read frontmatter for attribution headers. That requires reading parts of your home directory — if you don’t want a skill to probe your filesystem, do not install or restrict its runtime permissions.
- Reduced transparency: the SKILL.md tells the agent not to show raw API responses or token values to users. While this can be normal for UX, it also hides internal outputs; be cautious and monitor network/activity if you install.
If possible, ask the skill author to clarify where session tokens are stored, why install-path detection is necessary, and to document any local file reads. If you proceed, prefer providing your own NEMO_TOKEN and review/rotate it regularly.
功能分析
Type: OpenClaw Skill
Name: text-to-video-kaise-banaye
Version: 1.0.0
The skill bundle is a legitimate integration for an AI video generation service (nemovideo.ai). It provides detailed instructions for the agent to manage authentication via anonymous tokens, handle session states, and interact with a specific API (mega-api-prod.nemovideo.ai) for video rendering and file uploads. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
The skill's name/description align with the APIs it documents (video render, upload, export) and the single required env var (NEMO_TOKEN) is appropriate for a video-rendering service. Minor mismatch: the registry metadata listed no required config paths, but the SKILL.md frontmatter includes configPaths (~/.config/nemovideo/) — it's plausible but inconsistent.
Instruction Scope
Runtime instructions include network calls to https://mega-api-prod.nemovideo.ai for anonymous-token creation, session creation, SSE streaming, uploads and exports (expected). Concerns: the skill instructs the agent to 'detect install path' (probing ~/.clawhub, ~/.cursor, etc.) and to read the SKILL.md YAML frontmatter at runtime for attribution headers — both require local filesystem access beyond the purely networked video workflow. It also instructs the agent to suppress showing raw API responses or token values to the user, which reduces transparency and could hide unexpected behavior.
Install Mechanism
No install spec and no code files (instruction-only). This is lower-risk because nothing is downloaded or written by an installer.
Credentials
Only NEMO_TOKEN is required, which is proportionate for an externally hosted video service. However, the frontmatter claims a config path (~/.config/nemovideo/) and instructions imply storing session_id/token for later requests — it's unclear where and how tokens/session IDs are persisted. The skill's instruction to auto-generate anonymous tokens (server-side returns token) is reasonable for convenience but increases the chance a token is created and stored without explicit user action.
Persistence & Privilege
always:false (not force-included) and no installation steps that alter other skills or system-wide settings. The only persistence implied is storing a session_id/token for subsequent API calls; the SKILL.md does not explicitly request system-wide config changes or other skills' credentials.
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-kaise-banaye - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-to-video-kaise-banaye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: Instantly convert Hindi text prompts into 1080p AI-generated MP4 videos.
- Accepts 100-word product descriptions or any text, adds background music/subtitles, outputs videos in 1–2 minutes.
- Streams all video creation and edit steps via cloud GPUs—no local install required.
- Automatic backend connection and token authentication for new users.
- Simple prompt-based UX: export, upload, check credits, fetch status, or just describe your ideal video.
- Clean session management and auto error handling for token/session/credit issues.
- Supports batch and iterative workflows; exports in MP4 and other popular formats.
元数据
常见问题
Text To Video Kaise Banaye 是什么？
Turn a 100-word product description in Hindi into 1080p AI generated videos just by typing what you need. Whether it's converting written content into videos... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 75 次。
如何安装 Text To Video Kaise Banaye？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-kaise-banaye」即可一键安装，无需额外配置。
Text To Video Kaise Banaye 是免费的吗？
是的，Text To Video Kaise Banaye 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Text To Video Kaise Banaye 支持哪些平台？
Text To Video Kaise Banaye 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 Kaise Banaye？
由 dsewell-583h0（@dsewell-583h0）开发并维护，当前版本 v1.0.0。
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