OpenClaw-Trading-Hub: Free Openclaw trading AI bot @Pocketoption_OCtradingbot

by radioman · Codex Skill · ★ 969

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

Security audit verdict: SAFE · quality 53/100

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.

botopenclaudeopenclawpockettrading

Quick Facts

Stars969
Forks409
CategoryCodex Skill
Quality Score53/100
Open Issues78
Last Updated2026-05-03
Created2015-03-30
Platformsclaude-code
Est. Tokens~7792k

About OpenClaw-Trading-Hub

OpenClaw Trading Hub Welcome to OpenClaw Trading Hub — your free AI-powered trading and automation platform. Our mission is simple: help traders and businesses grow with advanced automation, AI-powered signals, and high-performance trading tools. What We Build 🤖 Pocket Option Trading Bots Automation systems for signal execution, strategy support, and real-time binary options trading workflows.

Compatible Skills

These tools work well together with OpenClaw-Trading-Hub for enhanced workflows:

  • crypto-trading-arena — semantic(0.54)+complementary+similar_pop+shared_platform (54%)
  • trading_skills — semantic(0.38)+complementary+similar_pop+shared_platform (53%)
  • lingti-bot — semantic(0.47)+complementary+rare_topics+similar_pop (51%)
  • finance-skills — semantic(0.27)+complementary+similar_pop+shared_platform (50%)
  • tradingview-mcp — semantic(0.26)+complementary+similar_pop+shared_platform (49%)

OpenClaw-Trading-Hub alternative? Top 6 similar tools

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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:

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