by yuatemycat · MCP Server · ★ 190
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install superghidra
pip install "superghidra[all]" # all optional backendsTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 190 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 68/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-05 |
| Created | 2026-10-20 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
SuperGhidra Python tools that make Ghidra faster to script against, plus a few analyses it doesn't do out of the box: MFC/C++ class recovery, layout tracing, cross-version function matching, and a Z3 equivalence checker for P-code. Why Ghidra's analysis is excellent, but driving it from scripts is slow. Each headless run pays 5–15 seconds of JVM startup.
These tools work well together with SuperGhidra for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: