bn — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

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 banteg · Codex Skill · ★ 212

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

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

About bn

bn is a coding agent-first CLI for Binary Ninja. It gives a shell session or tool-calling agent stable commands, structured output, and access to the same live Binary Ninja database you already have open in the GUI. Headline Features Query live Binary Ninja state from the shell: targets, functions, callsites, decompile text, IL, disassembly, xrefs, types, strings, imports, and reusable bundles. Execute Python inside the Binary Ninja process instead of maintaining a separate headless workflow. Apply mutations with , capture decompile diffs, and verify the live post-state before reporting success. Emit structured or output, auto-spill large results to files, and return token counts so agents can budget context intelligently. Install Recommended setup: install the CLI, the Binary Ninja companion plugin, and the bundled Codex skill. Install the CLI on your PATH: Install the Binary Ninja companion plugin: That links into your Binary Ninja plugins directory. Install the bundled Codex skill: That symlinks into by default. Use if you want a standalone copy instead. Restart Codex to pick up a new or renamed skill. If the plugin code changes, reload Binary Ninja Pytho

agentsbinary-ninjacodexreverse-engineering

Quick Facts

Stars212
Forks23
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score69.3428231895983/100
Last Updated2026-09-04
Created2026-03-08
Platformscli, codex, python
Est. Tokens~16k

Compatible Skills

These tools work well together with bn for enhanced workflows:

  • revula — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • binary-ninja-headless-mcp — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (59%)
  • Reversecore_MCP — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)

bn alternative? Top 6 similar tools

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

  • unbrowse by unbrowse-ai · ⭐ 757

    Unbrowse — api native browser Skill/CLI/MCP/SDK for any agent. Auto-discovers APIs from browser traffic, gener

  • perplexity-web-api-mcp by mishamyrt · ⭐ 94

    🔍 Perplexity AI MCP without API key

  • AI-Gateway by Azure-Samples · ⭐ 983

    Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Mic

  • codexia by milisp · ⭐ 915

    Lightweight Agent Workstation for Codex CLI + Claude Code — with task scheduler, git worktree & remote control

  • mcp-gateway-registry by agentic-community · ⭐ 909

    Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication

  • flow-like by TM9657 · ⭐ 865

    Flow-Like: Strongly Typed Enterprise Scale Workflows. Built for scalability, speed, seamless AI integration an

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Frequently Asked Questions

What is bn?

bn is binary ninja cli for coding agents. It is categorized as a Codex Skill with 212 GitHub stars.

What programming language is bn written in?

bn is primarily written in Python. It covers topics such as agents, binary-ninja, codex.

How do I install or use bn?

You can find installation instructions and usage details in the bn GitHub repository at github.com/banteg/bn. The project has 212 stars and 23 forks, indicating an active community.

What license does bn use?

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

What are the best alternatives to bn?

The top alternatives to bn on Agent Skills Hub include unbrowse, perplexity-web-api-mcp, AI-Gateway. 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:

View on GitHub → Browse Codex Skill tools