MoneyAtlas-ClaudeSkill-Agent — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 ElmatadorZ · Claude Skill · ★ 53

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

🔒 Is MoneyAtlas-ClaudeSkill-Agent safe to install? View the security audit →

About MoneyAtlas-ClaudeSkill-Agent

Money Atlas Intelligence OS Claude Skill (Agent) — Financial Market Strategic Intelligence Version: 2.0 Author: Bunyawat Dechanon (ElmatadorZ) Brand: Money Atlas / Alternative Slowbar Type: Custom Skill (SKILL.md format) What This Is A skill that transforms financial market questions into structured, scenario-based intelligence. Not a prediction engine. Not a signal bot. A thinking system — built to reason the way a disciplined analyst does. When you ask about BTC, gold, macro, forex, or any asset — this skill activates a multi-layer reasoning pipeline that separates what's actually happening from what the market narrative wants you to believe. Core Engine Genesis Protocol — 3-Step Thinking Pipeline Step 1: First Principle Codex Deconstruct the market from root causes — not price action alone.

agent-skillsagentic-workflowanalysiscognitive-architecturefinancefinancial-analysisfintechknowledgemacromulti-agent

Quick Facts

Stars53
Forks13
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score69.6259194651781/100
Last Updated2026-08-04
Created2026-03-19
Platformsclaude-code, python
Est. Tokens~11k

Compatible Skills

These tools work well together with MoneyAtlas-ClaudeSkill-Agent for enhanced workflows:

  • Open-Genealogy — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • relic.skill — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • ros2-engineering-skills — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

MoneyAtlas-ClaudeSkill-Agent alternative? Top 6 similar tools

Looking for a MoneyAtlas-ClaudeSkill-Agent alternative? If you're comparing MoneyAtlas-ClaudeSkill-Agent 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.

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Frequently Asked Questions

What is MoneyAtlas-ClaudeSkill-Agent?

MoneyAtlas-ClaudeSkill-Agent is Money Atlas Skill.md (Claude Skill) For AI Agent A Genesis Protocol-powered intelligence system for financial markets, macroeconomics, and geopolitics. Core Systems - Genesis Protocol (First Principl. It is categorized as a Claude Skill with 53 GitHub stars.

What programming language is MoneyAtlas-ClaudeSkill-Agent written in?

MoneyAtlas-ClaudeSkill-Agent is primarily written in Python. It covers topics such as agent-skills, agentic-workflow, analysis.

How do I install or use MoneyAtlas-ClaudeSkill-Agent?

You can find installation instructions and usage details in the MoneyAtlas-ClaudeSkill-Agent GitHub repository at github.com/ElmatadorZ/MoneyAtlas-ClaudeSkill-Agent. The project has 53 stars and 13 forks, indicating an active community.

What license does MoneyAtlas-ClaudeSkill-Agent use?

MoneyAtlas-ClaudeSkill-Agent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to MoneyAtlas-ClaudeSkill-Agent?

The top alternatives to MoneyAtlas-ClaudeSkill-Agent on Agent Skills Hub include agent-skills, semanticscholar-skill, dartlab. 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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