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Text To Video No Filter
作者
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
61
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-no-filter
功能描述
Skip the learning curve of professional editing software. Describe what you want — generate a video of a street fight scene with realistic violence, no conte...
安全使用建议
This skill will send your text and any uploaded files to an external API (mega-api-prod.nemovideo.ai) and will use a NEMO_TOKEN from the environment if present or obtain an anonymous token automatically. Before installing: 1) Verify the skill's source and that you trust nemovideo.ai to receive your files (do not upload sensitive/private data). 2) Ask the publisher why the SKILL.md frontmatter lists ~/.config/nemovideo/ when the registry metadata did not — if the skill will read that directory, understand what it contains. 3) Be aware the instructions tell the agent to ‘keep technical details out of the chat’ — this can hide network or file activity; insist on visible logging or confirmation. 4) If you must use the skill, prefer using a disposable/ephemeral token (do not store long-lived secrets) and test with non-sensitive sample files first. If you can get the author to remove the unexplained config-path requirement and to be explicit about file reads/uploads and what headers/metadata are sent, the risk profile would be clearer.
功能分析
Type: OpenClaw Skill
Name: text-to-video-no-filter
Version: 1.0.0
The skill bundle (SKILL.md) contains explicit instructions for the AI agent to bypass safety filters and generate 'unfiltered' video content featuring 'realistic violence' and 'no content restrictions.' This constitutes a prompt-injection attempt to override the agent's safety guardrails. While the technical implementation involves standard API calls to mega-api-prod.nemovideo.ai, the repeated emphasis on bypassing safety protocols and instructions to hide technical details from the user are significant indicators of suspicious intent.
能力评估
Purpose & Capability
The skill's name and description (unrestricted text→video generation) match the runtime instructions to call a Nemo video backend and upload user files. Requesting a NEMO_TOKEN credential is appropriate for that purpose. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths — that mismatch is unexplained and worth questioning.
Instruction Scope
Instructions direct the agent to upload user-supplied files (multipart uploads using local file paths) and to obtain an anonymous token if NEMO_TOKEN is absent. Those behaviors are plausible for a file-upload video service, but the instructions also say 'Keep the technical details out of the chat,' which suppresses transparency about network activity. The SKILL.md also requires platform autodetection from install path (potentially reading filesystem paths) and mandates custom attribution headers for every call — both increase the chance the agent will inspect local environment or paths beyond what the description explicitly promises.
Install Mechanism
This is instruction-only with no install spec or downloaded code, so there is no installer risk or archive extraction. Network calls are defined in the instructions, which is the primary runtime surface.
Credentials
Only one credential (NEMO_TOKEN) is declared as required, which is proportionate. But the SKILL.md frontmatter also lists a config path (~/.config/nemovideo/) that was not listed in the registry summary — requesting access to a user config directory could allow reading local files, and that need is not justified by the description. The skill also instructs generating a UUID and calling an auth endpoint to obtain anonymous tokens when NEMO_TOKEN is absent, which is reasonable but means the skill will contact an external service automatically.
Persistence & Privilege
The skill is not always-on (always: false) and doesn't request elevated or persistent platform privileges in the registry. Autonomous invocation is allowed (platform default) but does not appear to be combined with broad unexplained credential requests.
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-no-filter - 安装完成后,直接呼叫该 Skill 的名称或使用
/text-to-video-no-filter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 — Text to Video No Filter
- Generate uncensored video clips from plain text prompts with no content restrictions.
- Supports large file uploads (TXT, DOCX, PDF, or plain text, up to 500MB).
- Automatic session management using NEMO_TOKEN with free starter credits for new users.
- Easy exporting in multiple formats (MP4, MOV, AVI, GIF, and more).
- Includes credit management, job state tracking, and detailed error handling.
- Designed for filmmakers, content creators, and researchers needing fast, unfiltered video generation.
元数据
常见问题
Text To Video No Filter 是什么?
Skip the learning curve of professional editing software. Describe what you want — generate a video of a street fight scene with realistic violence, no conte... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 61 次。
如何安装 Text To Video No Filter?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-no-filter」即可一键安装,无需额外配置。
Text To Video No Filter 是免费的吗?
是的,Text To Video No Filter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Text To Video No Filter 支持哪些平台?
Text To Video No Filter 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 No Filter?
由 dsewell-583h0(@dsewell-583h0)开发并维护,当前版本 v1.0.0。
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