Use whenever the user asks about MiMoCode itself: features, TUI or CLI commands, configuration, file locations, providers, models, authentication, or custom OpenAI-compatible or Anthropic-compatible API endpoints. Especially trigger when a prompt supplies or asks to configure a base URL/baseURL, API key/apiKey, model name or ID, provider, Anthropic Messages API, or global/project mimocode.json/jsonc. Use this skill to inspect existing config safely, make minimal changes, and verify them without guessing schema fields or model capabilities.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill’s required workflow is file-based agent configuration (and dynamic workflow scripts) where MiMoCode reads Markdown/JS from project/global/user-provided directories; if an outsider contributed those files, their text would be injected into the LLM context via the system-prompt/body for agents/modes or via workflow/child-workflow prompts/results at runtime.
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