by Hmbown · MCP Server · ★ 217
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install "aleph-rlm[mcp]"
git clone https://github.com/Hmbown/aleph.gitTaken from the project's README on GitHub.
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.
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 | 217 |
| Forks | 25 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-11 |
| Created | 2025-12-15 |
| Platforms | mcp, python |
| Est. Tokens | ~527k |
Aleph Aleph is an MCP server and skill for Recursive Language Models (RLMs). It keeps working state — search indexes, code execution, evidence, recursion — in a Python process outside the prompt window, so the LLM reasons iteratively over large codebases, long-lived projects, logs, documents, and data without burning context on raw content. Why Aleph: Load once, reason many times.
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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: