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Install in OpenClaw
/install lrshuai-text-to-video
Description
文生视频技能。当你需要仅提供一段文本描述来生成视频时调用此技能。
README (SKILL.md)
Text to Video (文生视频)
CRITICAL INSTRUCTION FOR AGENT:
当用户要求调用 lrshuAI-text-to-video 技能时，你绝对不能使用 openclaw run。你必须直接通过系统自带的 python 命令来运行 script/invoke_model.py。
支持的模型
此技能包含仅需文本即可生成视频的模型。
- Veo 3.1 (
veo_3_1): 高质量视频生成模型。 - Sora 2 (
sora-2): 通用高质量视频生成模型。 - Doubao Seedance 1.5 Pro (
doubao-seedance-1_5-pro): 豆包舞蹈视频生成。
调用示例
python script/invoke_model.py --model 'veo_3_1' --prompt '一个机器人在赛博朋克城市的街道上行走，下着雨'
Usage Guidance
This skill contains a Python script that sends prompts and optional local files to a remote API using TEAM_API_KEY. Key concerns: (1) SKILL.md explicitly forbids running under the platform runner and forces direct execution of the script — ask why and prefer a version that uses the platform's normal run path so execution and network calls are observable; (2) the script defaults to an external endpoint (https://dlazy.com/api/ai/tool) and also reads TEAM_BASE_URL (an undeclared env var) — confirm the destination domain and whether your TEAM_API_KEY is intended for that service; (3) it will read local image/video files if given and base64-encode them to send — avoid passing sensitive files; (4) missing declared dependency on 'requests' could cause unexpected behavior. Before installing: verify the publisher identity and endpoint, require the skill to declare TEAM_BASE_URL (or harden it to an approved domain), insist on using the platform-run wrapper, test in a restricted sandbox with a scoped API key you can rotate, and consider denying autonomous invocation until you confirm behavior.
Capability Assessment
Purpose & Capability
Name and description match the included code: a Python script that sends prompts (and optional media) to a remote model API. Requiring python and a TEAM_API_KEY is plausible. However the script defaults to using https://dlazy.com/api/ai/tool as the base URL (not mentioned in the description) which is an external host not justified in the SKILL.md.
Instruction Scope
SKILL.md contains a CRITICAL instruction forcing the agent to run `python script/invoke_model.py` directly and forbids using `openclaw run`. That appears designed to bypass the platform's normal execution/wrapping and is a significant deviation from expected runtime behavior. The script will also read local files if passed via args and makes arbitrary network requests to the base URL, which increases the attack surface when executed outside the platform's supervision.
Install Mechanism
This is an instruction-only skill with a bundled Python script (no install spec). The script uses the third-party Python 'requests' package but the skill does not declare or install dependencies, which may cause runtime errors; the lack of an install step is low risk by itself but means the script will run as-is in the agent environment.
Credentials
The declared required env var TEAM_API_KEY is reasonable for calling an external API. But the script also reads TEAM_BASE_URL (to select the endpoint) which is not declared in requires.env or documented in SKILL.md metadata. The default endpoint (dlazy.com) is a third-party domain. Requiring an API key without documenting the target service and permitting an undeclared base URL is disproportionate and may allow credential use with an unexpected remote host.
Persistence & Privilege
The skill does not request 'always: true' and uses normal autonomous invocation, which is expected. However the explicit instruction to avoid the platform-run wrapper combined with autonomous invocation increases the blast radius: the agent could invoke the script without platform-level monitoring and cause network/exfiltration activity. This combination raises concern.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install lrshuai-text-to-video - After installation, invoke the skill by name or use
/lrshuai-text-to-video - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of lrshuAI-text-to-video skill.
- Generate videos from simple text descriptions using advanced models.
- Supported models: Veo 3.1, Sora 2, Doubao Seedance 1.5 Pro.
- Agents must invoke the skill using python script/invoke_model.py (not openclaw run).
- Requires TEAM_API_KEY configuration.
Metadata
Frequently Asked Questions
What is LrshuAI Text To Video?
文生视频技能。当你需要仅提供一段文本描述来生成视频时调用此技能。 It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install LrshuAI Text To Video?
Run "/install lrshuai-text-to-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is LrshuAI Text To Video free?
Yes, LrshuAI Text To Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does LrshuAI Text To Video support?
LrshuAI Text To Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created LrshuAI Text To Video?
It is built and maintained by dlazyAI (@lrshu); the current version is v1.0.0.
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