OGhidra: OGhidra bridges Large Language Models via Ollama with the Ghidra reverse engineering platform, enabling

by llnl · Agent Tool · ★ 454

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install OGhidra

git clone https://github.com/LLNL/OGhidra.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

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.

Quick Facts

Stars454
Forks48
LanguagePython
CategoryAgent Tool
Quality Score68/100
Open Issues24
Last Updated2026-10-12
Created2025-11-20
Platformspython
Est. Tokens~17k

About OGhidra

OGhidra 3 - AI-Powered Reverse Engineering with Ghidra For the version using a Claude-inspired Orchestrator, see https://github.com/llnl/OGhidra/tree/orchestrator OGhidra bridges Large Language Models with Ghidra's reverse engineering platform, enabling AI-driven binary analysis through natural language.

Compatible Skills

These tools work well together with OGhidra for enhanced workflows:

  • spectral — semantic(0.26)+complementary+shared_fw(anthropic,ollama,openai)+same_lang+similar_pop+shared_platform (79%)
  • ghidra-re-skill — semantic(0.34)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (78%)
  • auto-re-agent — semantic(0.48)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (75%)
  • kani — semantic(0.23)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (74%)
  • manim-generator — semantic(0.22)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (74%)

OGhidra alternative? Top 6 similar tools

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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:

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