by BlackSnufkin · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/BlackSnufkin/LitterBox.gitTaken 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 | 1,542 |
| Forks | 169 |
| Language | YARA |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 65/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-05 |
| Created | 2024-12-25 |
| Platforms | docker, mcp |
| Est. Tokens | ~7831k |
LitterBox []() []() []() []() []() A self-hosted payload-analysis sandbox for red teams. Upload a sample, run static / dynamic / EDR analysis against it, get a Detection Score and a triggering-indicators breakdown — decide whether the payload is field-ready before it leaves the lab.
These tools work well together with LitterBox for enhanced workflows:
Looking for a LitterBox alternative? If you're comparing LitterBox 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.
Open-source AI-augmented offensive security harness. 13+ autonomous agents, 150+ LLM providers, 5,300+ models,
A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei,
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NP
[DEPRECATED] Legacy Klavis AI MCP integrations. See klavis.ai for RL environments and training data.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI
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: