skill-search

Semantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector embedding search.

→ sowhan/skill-search · listed on glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configEVAL_MIN_RECALL

configSKILL_QDRANT_URL— export =http://localhost:6333 # Qdrant server

configSKILL_QDRANT_PATH— Vector store embedded on-disk Qdrant at ~/.cache/skill-search/qdrant () SKILL_QDRANT_URL → Qdrant server

configSKILL_COLLECTION

configSKILL_EMBED_BACKEND— export =ollama # Ollama embeddings

configSKILL_EMBED_MODEL— Embedder fastembed BAAI/bge-small-en-v1.5 (384-dim) SKILL_EMBED_BACKEND=ollama, (embeddinggemma, 768-dim)

configSKILL_OLLAMA_URL

configSKILL_EMBED_BATCH

configSKILL_TOP_K— Results =6 —

configSKILL_VECTOR_SIZE

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/sowhan-skill-search-1kg714)](https://m8ven.ai/mcp/sowhan-skill-search-1kg714)

commit: 4dc853c7d74d6fab4ccc3b417ca4e8e83ff73b66

code hash: 35954068ff2d8a19a8587526990f5aec5ac97daf12251e2fad0c25a47f69393d

verified: 6/19/2026, 10:53:06 AM

view raw JSON →