by fidetolabs · MCP Server · ★ 327
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv tool install qanat-fdtl # or: pip install qanat-fdtl
git clone https://github.com/fidetolabs/qanat.git && cd qanatTaken 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 | 327 |
| Forks | 56 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65/100 |
| Last Updated | 2026-11-03 |
| Created | 2026-09-05 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
Qanat Declare the alpha as a DAG. Hand the backtest to an agent. Quick start · Agents · How it works ·
Looking for a qanat alternative? If you're comparing qanat with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting
Free, open-source SQL Server and Postgres performance monitoring. Collectors, real-time alerts, graphical plan
Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data redu
algorithmic trading curated list quant finance trading bots backtesting technical analysis crypto open-source
mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, a
One place to manage & connect to all your MCP servers
Explore other popular mcp server tools:
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: