IDAssist — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by symgraph · Agent Tool · ★ 874

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

🔒 Is IDAssist safe to install? View the security audit →

About IDAssist

IDAssist AI-Powered Reverse Engineering Plugin for IDA Pro Author: Jason Tang Description IDAssist is an IDA Pro plugin that integrates LLM-powered analysis directly into IDA's interface, providing AI-assisted binary reverse engineering through configurable LLM providers, semantic knowledge graphs, RAG document search, and supports a wide diversity of LLM providers. Built with Python and PySide6, IDAssist runs as a dockable panel inside IDA Pro 9.0+ and communicates with LLM providers (OpenAI, Anthropic, Ollama, LiteLLM, and more) to analyze functions, suggest renames, answer questions about code, and build a searchable knowledge graph of an entire binary. Core Features Function Explanation — Generate detailed natural-language explanations of decompiled functions with automatic security analysis including risk level, activity profile, security flags, and API detection. Interactive Query Chat — Ask questions about the binary with persistent chat history. Use context macros (, , , ) to inject function code, addresses, or disassembly ranges into queries. Automated Actions — AI-powered rename suggestions for functions, variables, and types.

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Quick Facts

Stars874
Forks94
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score68.3941025978323/100
Open Issues1
Last Updated2026-09-20
Created2026-02-25
Platformspython
Est. Tokens~15k

Compatible Skills

These tools work well together with IDAssist for enhanced workflows:

  • ida-pro-mcp — semantic(0.74)+complementary+shared_fw(anthropic,openai)+rare_topics+same_lang+shared_platform (86%)
  • spectral — semantic(0.18)+complementary+shared_fw(anthropic,ollama,openai)+same_lang+similar_pop+shared_platform (76%)
  • ida-agent-bridge — semantic(0.73)+complementary+same_lang+similar_pop+shared_platform (75%)
  • mcp-server-idapro — semantic(0.55)+complementary+rare_topics+same_lang+similar_pop+shared_platform (74%)

IDAssist alternative? Top 6 similar tools

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

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  • arxiv-mcp-server by blazickjp · ⭐ 3.2k

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  • jadx-ai-mcp by zinja-coder · ⭐ 2.8k

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Frequently Asked Questions

What is IDAssist?

IDAssist is AI-Powered Reverse Engineering Plugin for IDA Pro. It is categorized as a Agent Tool with 874 GitHub stars.

What programming language is IDAssist written in?

IDAssist is primarily written in Python. It covers topics such as ida-plugin, ida-plugins, idapro.

How do I install or use IDAssist?

You can find installation instructions and usage details in the IDAssist GitHub repository at github.com/symgraph/IDAssist. The project has 874 stars and 94 forks, indicating an active community.

What license does IDAssist use?

IDAssist is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to IDAssist?

The top alternatives to IDAssist on Agent Skills Hub include mcp-server-chart, excel-mcp-server, dbhub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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