claude-mega-brain — security grade SAFE, quality 75/100

Security audit verdict: SAFE · quality 75/100

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 guhcostan · Claude Skill · ★ 122

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

🔒 Is claude-mega-brain safe to install? View the security audit →

About claude-mega-brain

claude-mega-brain Loads the knowledge. Skips the search. 100% accuracy · 0 tool calls · −66% tokens vs Obsidian+MCP Real agentic sessions. Benchmark → Install Then in any project: Start a new session — the knowledge base loads automatically. The problem Without claude-mega-brain, Claude guesses from training data: User: What column stores the order total? Claude (no context): Typically totalamoun

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Quick Facts

Stars122
Forks18
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score74.9140701861529/100
Open Issues1
Last Updated2026-07-22
Created2026-06-29
Platformsclaude-code, python
Est. Tokens~15k

Compatible Skills

These tools work well together with claude-mega-brain for enhanced workflows:

  • LLM-Wiki — semantic(0.50)+complementary+same_lang+similar_pop+shared_platform (67%)
  • okf-skills — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
  • DocMason — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (63%)

claude-mega-brain alternative? Top 6 similar tools

Looking for a claude-mega-brain alternative? If you're comparing claude-mega-brain 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.

  • okf-skills by scaccogatto · ⭐ 359

    The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin

  • okf-gem by serradura · ⭐ 126

    Open Knowledge Format for coding agents. Author, validate, lint, search, and visualize portable Markdown knowl

  • pi-llm-wiki by zosmaai · ⭐ 581

    Self-maintaining, Obsidian-compatible knowledge base for pi — turn raw sources into an interlinked wiki that c

  • claude-elixir-phoenix by oliver-kriska · ⭐ 553

    Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP

  • agent-second-brain by smixs · ⭐ 367

    An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul

  • orchestkit by yonatangross · ⭐ 278

    The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stabl

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Frequently Asked Questions

What is claude-mega-brain?

claude-mega-brain is OKF-powered knowledge context for Claude Code — injects your project's knowledge base at every session. It is categorized as a Claude Skill with 122 GitHub stars.

What programming language is claude-mega-brain written in?

claude-mega-brain is primarily written in Python. It covers topics such as ai-agents, claude-code, claude-code-plugin.

How do I install or use claude-mega-brain?

You can find installation instructions and usage details in the claude-mega-brain GitHub repository at github.com/guhcostan/claude-mega-brain. The project has 122 stars and 18 forks, indicating an active community.

What license does claude-mega-brain use?

claude-mega-brain is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to claude-mega-brain?

The top alternatives to claude-mega-brain on Agent Skills Hub include okf-skills, okf-gem, pi-llm-wiki. 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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