DriverScope — repository deleted, archived audit

Quick Facts

About DriverScope

Automated BYOVD driver analysis: import scanning, IOCTL dispatch extraction, Speakeasy emulation

Compatible Skills

These tools work well together with DriverScope for enhanced workflows:

• reverse-engineering-is-over — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
• open-reverselab — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (62%)
• Reversecore_MCP — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)

DriverScope alternative? Top 6 similar tools

Looking for a DriverScope alternative? If you're comparing DriverScope with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

• PerimeterX_RE by warterbili · ⭐ 56

  Complete reverse engineering of PerimeterX (HUMAN Security) anti-bot SDK · pure-algo _px3/_px2 generator (no b

• IDA-Skill by miunasu · ⭐ 237

  使用skill让 AI Agent 像安全分析师一样分析恶意样本 | AI Agent skill for automated malware analysis using IDA Pro

• claude-context-local by FarhanAliRaza · ⭐ 237

  Code search MCP for Claude Code. Make entire codebase the context for any coding agent. Embeddings are created

• claudex by Mng-dev-ai · ⭐ 224

  Your own Claude Code UI, sandbox, in-browser VS Code, terminal, multi-provider support (Anthropic, OpenAI, Git

• augments-mcp-server by augmnt · ⭐ 127

  Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent c

• reverse-engineering-is-over by yasminefolo · ⭐ 110

  LLMs have ended reverse engineering as a high-barrier skill. Case study: reconstructing 6/7 custom HTTP signin

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How this security grade is produced

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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this