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Autogen Skill

v1.0.0

Microsoft AutoGen - 多智能体协同框架，用于构建复杂游戏设计工作流

⭐ 0· 65·1 current·1 all-time
byLv Lancer@kaiyuelv
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
✓
Purpose & Capability
Name/description (Microsoft AutoGen multi-agent framework for game design) match the SKILL.md usage examples which import autogen and create agents. Required capabilities (none declared) are proportional to the stated purpose.
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Instruction Scope
SKILL.md gives concrete Python usage (import autogen, create AssistantAgent/UserProxyAgent, initiate_chat). It references a filesystem path (/workspace/skills/gamedev-tools/autogen/) and suggests pip package 'pyautogen' — these are reasonable but are assumptions (preinstalled path/pip name) the runtime must meet. The example config uses an LLM model ('gpt-4'), which implies model access but the skill does not declare credentials (this is common when platform supplies model access).
✓
Install Mechanism
No install spec and no code files — lowest-risk instruction-only skill. The README claims the package is preinstalled; nothing will be written to disk by the skill itself.
✓
Credentials
The skill requests no environment variables, secrets, or config paths. That aligns with an instruction-only wrapper. Note: using an LLM (gpt-4) requires model access from the platform but no unexpected credentials are requested by the skill.
✓
Persistence & Privilege
always is false and default autonomous invocation is allowed (normal). The skill does not request persistent system presence or to modify other skills.
Assessment
This skill is an instruction-only wrapper for Microsoft AutoGen and appears coherent. Before installing/use: verify the referenced package/path actually exist in your runtime (/workspace/skills/gamedev-tools/autogen/ or 'pyautogen'), confirm you are comfortable giving AutoGen agents access to the platform model (the example uses 'gpt-4'), and if you need to install the package yourself, prefer the official Microsoft repo releases. If you need tighter control, test in an isolated environment since multi-agent frameworks can run autonomous interactions that trigger external API calls or code execution depending on configuration.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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