maia-skill: Claude Code skill: 5 AI agents analyze crypto, stocks, forex & commodities in parallel, adapt to your risk

by Hainrixz · Claude Skill · ★ 129

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

How to install maia-skill

claude plugin install Hainrixz/maia-skill
git clone https://github.com/Hainrixz/maia-skill.git

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

Security audit verdict: SAFE · quality 57/100

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.

ai-agentsbilingualclaude-codecommoditiescryptoeducational-financefintechforexinvestingmarket-research

Quick Facts

Stars129
Forks37
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score57/100
Open Issues4
Last Updated2026-06-18
Created2026-03-14
Platformsclaude-code, node
Est. Tokens~13k

About maia-skill

MAIA System Multi-Agent Investment Analysis — for Claude Code Five specialized AI agents research crypto, stocks, forex & commodities in parallel, adapt to your risk profile, and render an interactive, bilingual dashboard — educational analysis, not financial advice.

Compatible Skills

These tools work well together with maia-skill for enhanced workflows:

  • maverick-mcp — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (62%)
  • octagon-mcp-server — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • mcp_massive — semantic(0.37)+complementary+rare_topics+similar_pop (57%)

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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:

View on GitHub → Browse Claude Skill tools