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在 OpenClaw 中安装
/install moa-explainer
功能描述
Generate 3D animation scripts and lay explanations for drug mechanisms.
安全使用建议
This skill appears to do what it says: locally generate animation scripts and simplified explanations. Before installing or running it: (1) Review and test the script in a sandbox or isolated workspace; it will write the text to any --output path you supply and does not validate that path, so avoid passing sensitive filesystem locations and beware of accidental overwrites. (2) Verify the generated medical content for accuracy and suitability for your audience—this tool is a content generator and not a medical authority. (3) Note some minor repository inconsistencies (a referenced CONFIG block and prereqs that are not present); those are quality issues rather than active threats but you should inspect the source if you plan to automate runs. (4) Because the publisher/homepage are unknown, prefer local/manual invocation rather than granting persistent/autonomous privileges in an agent until you are comfortable with the provenance. If you need stronger safety guarantees, add path validation and explicit input sanitization, and run the script in a restricted environment.
能力评估
Purpose & Capability
The name/description (MoA animation scripts and lay explanations) matches the packaged artifact (scripts/main.py) and SKILL.md. The Python script produces storyboards and simplified explanations and requires only local inputs; no unrelated credentials, binaries, or cloud access are requested.
Instruction Scope
SKILL.md instructs the agent/user to validate inputs and run scripts/main.py and the script itself only reads CLI args and writes output files or prints results. There are a couple of minor inconsistencies to be aware of: (1) SKILL.md references an in-file CONFIG block and additional prereqs that do not exist in the repository, and (2) the script writes to whatever path is passed via --output without validating or sanitizing the path (no protection against accidental/intentional directory traversal or overwriting files). Functionally this stays inside the declared purpose, but input/output path handling and some prompt text (mechanism.split()[0]) are fragile and should be reviewed.
Install Mechanism
There is no install spec and the skill is instruction-only with a small, self-contained Python script using only the standard library. This minimizes installation risk (nothing is downloaded or executed from an external URL).
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a local content-generation script.
Persistence & Privilege
The skill is not set to always: true and does not request to modify other skills or system-wide settings. It runs only when invoked and writes output only to the user-specified output file.
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 moa-explainer - 安装完成后，直接呼叫该 Skill 的名称或使用
/moa-explainer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: generates 3D animation scripts and clear explanations for drug mechanisms.
- Provides a structured workflow for creating animation storyboards, voiceover scripts, and lay explanations for drug mechanisms of action.
- Includes audit/reference guides, reproducible output requirements, and error handling/fallback guidance.
- Supports input validation, parameterization by drug/target/disease/audience, and bounded reproducibility.
- Security, risk, and evaluation criteria are documented for safe use in medical/scientific content generation.
- Example commands and response templates included for clarity and ease of adoption.
元数据
常见问题
MoA Explainer 是什么？
Generate 3D animation scripts and lay explanations for drug mechanisms. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 127 次。
如何安装 MoA Explainer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install moa-explainer」即可一键安装，无需额外配置。
MoA Explainer 是免费的吗？
是的，MoA Explainer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
MoA Explainer 支持哪些平台？
MoA Explainer 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 MoA Explainer？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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