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Text To Video Kling Ai
作者
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
65
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-kling-ai
功能描述
generate text prompts into AI generated clips with this skill. Works with TXT, PNG, JPG, MP4 files up to 200MB. content creators use it for generating short...
安全使用建议
This skill appears to legitimately call a Nemovideo API and only asks for a NEMO_TOKEN, which is appropriate for video generation. Before installing, verify the backend domain (mega-api-prod.nemovideo.ai) and consider the following: (1) the SKILL.md mentions a local config path (~/.config/nemovideo/) but registry metadata does not — confirm whether the agent will read that directory and what files it might access; (2) the skill may attempt to auto-detect an install path to set X-Skill-Platform, which could require filesystem access — if you are uncomfortable, run the skill in a sandboxed environment or deny filesystem access; (3) anonymous token acquisition is automatic if no NEMO_TOKEN is present — expect outbound network calls to the auth endpoint; (4) because the skill source is unknown and there is no homepage/owner verification, consider only using a disposable or scoped token, or test in an isolated account. If you need higher assurance, ask the author for provenance (homepage, owner contact) and clarification about the config path and what the agent will inspect on your system.
功能分析
Type: OpenClaw Skill
Name: text-to-video-kling-ai
Version: 1.0.0
The skill bundle provides a functional integration for a text-to-video service hosted at nemovideo.ai. The SKILL.md file contains detailed instructions for the AI agent to manage sessions, handle authentication (including anonymous token acquisition), and map backend GUI-style responses to API actions. There is no evidence of data exfiltration, malicious code execution, or harmful prompt injection; the requested environment variables and headers are consistent with the stated purpose of interacting with the video generation API.
能力评估
Purpose & Capability
The skill is about generating videos via Kling/Nemovideo and asks for a single credential (NEMO_TOKEN) and calls nemovideo API endpoints — that is coherent. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths, creating an inconsistency about whether the skill will access a local config directory.
Instruction Scope
Runtime instructions tell the agent to use NEMO_TOKEN or obtain an anonymous token by POSTing to an external endpoint (expected). But the skill also requires three attribution headers and says X-Skill-Platform should be auto-detected from the install path — this implicitly asks the agent to inspect its install path or filesystem (ambiguous). The SKILL.md also instructs the agent to keep technical details out of chat, which could obscure network activity from users. These points are vague and grant the agent discretionary filesystem/network actions beyond simply calling the service.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing will be downloaded or written by an installer as part of the skill package itself.
Credentials
Only one env var (NEMO_TOKEN) is declared which fits the purpose. However, the SKILL.md frontmatter's mention of a config path (~/.config/nemovideo/) is not reflected in registry metadata; if the agent reads that path it could access local stored tokens or other files. The skill also instructs automatic anonymous token acquisition if no token is present, meaning it will call an external auth endpoint and store/use a transient token — reasonable for the service but something to be aware of.
Persistence & Privilege
always:false (no forced permanent presence). The skill creates short-lived sessions with the remote service but does not request elevated platform privileges or modify other skills/configs in the package. No evidence it writes persistent system-wide settings.
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-kling-ai - 安装完成后,直接呼叫该 Skill 的名称或使用
/text-to-video-kling-ai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 Kling AI — Generate Videos from Text Prompts.
- Generate AI videos from text prompts or uploaded files (txt, png, jpg, mp4; up to 200MB).
- Supports quick and batch workflows for content creators, returning 1080p MP4 clips in 1–3 minutes.
- Automatic backend connection and session management; requires NEMO_TOKEN or acquires free starter token.
- Simple, chat-based commands to generate, edit, and download videos; check credits, status, or upload files.
- Error handling for tokens, file types, credits, rate limits, and session state.
元数据
常见问题
Text To Video Kling Ai 是什么?
generate text prompts into AI generated clips with this skill. Works with TXT, PNG, JPG, MP4 files up to 200MB. content creators use it for generating short... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 65 次。
如何安装 Text To Video Kling Ai?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-kling-ai」即可一键安装,无需额外配置。
Text To Video Kling Ai 是免费的吗?
是的,Text To Video Kling Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Text To Video Kling Ai 支持哪些平台?
Text To Video Kling Ai 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 Kling Ai?
由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。
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