by kiycoh · MCP Server · ★ 68
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv tool install 'silica-core[mcp]' # BM25 over documents and their sections (faster, lighter)
uv tool install 'silica-core[mcp,dense]' # in addition the dense leg: numpy, a static model (still fast, more precise)Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 68 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-10-14 |
| Created | 2026-05-24 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~16k |
Lightweight, local evidence retrieval tools for code and research Silica locates the source, symbol, page, or passage you and your agents need. Maximum signal, minimum machinery. Silica indexes the markdown, code, PDFs and office files under one root and serves them to Claude Code, Cursor, Hermes, Codex, OpenCode and every other popular harness, as MCP tools or as shell commands that print the...
These tools work well together with silica-core for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: