Akashic Knowledge Base

v1.0.0

Query your knowledge base using AI-powered search. Combines web search with chat AI for comprehensive answers.

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
high confidence
Purpose & Capability
The name/description (knowledge base + web search + synthesis) matches the instructions. Declared tools (rag_query, web_search, chat_completion, translate_content) are exactly the capabilities described. No unrelated binaries, env vars, or installs are requested.
Instruction Scope
Instructions stay on-purpose: prefer RAG for internal queries, use web_search for external/real-time info, then synthesize with chat_completion and optionally translate. They do instruct querying internal/proprietary data (rag_query), so using this skill implies the ability to read whatever documents the Akashic RAG connector can access; the SKILL.md does not instruct reading unrelated local files or env vars.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is written to disk or downloaded during install.
Credentials
The skill requests no environment variables or credentials. However, it relies on platform-managed MCP connectors (Akashic, SerpApi/Tavily) to perform searches; those connectors will use whatever credentials are configured by the platform. Confirm that you trust the Akashic connector and its access scope to internal data.
Persistence & Privilege
always is false and the skill does not request system-level persistence or modify other skills. It will run via normal autonomous invocation rights, which is expected for skills.
Assessment
This skill is coherent but grants the Akashic connectors the ability to query your internal knowledge base and perform web searches on your behalf. Before enabling it: (1) Verify you trust the platform's 'mcp:akashic' integration and its access controls (what documents, indexes, or buckets the RAG can read). (2) Confirm how web-search API keys and logs are managed by the platform (SerpApi/Tavily may be used under platform credentials). (3) Test the skill with non-sensitive queries first. If you need stricter data control, restrict the RAG connector's index scope or avoid enabling the skill for sensitive workflows.

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.

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