openclaw-ai-polymarket-trading-bot: TypeScript bot built with Openclaw AI agent

by solcanine · Codex Skill · ★ 53

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

Security audit verdict: SAFE · quality 65/100

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.

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.

openclawopenclaw-agentopenclaw-polymarket-trading-botopenclaw-skillpolymarket-trading-bottypescript

Quick Facts

Stars53
Forks23
LanguageTypeScript
CategoryCodex Skill
Quality Score65/100
Last Updated2026-03-18
Created2026-02-27
Platformsnode
Est. Tokens~16k

About openclaw-ai-polymarket-trading-bot

🤖 Polymarket Short-Horizon Bot 🦞 Openclaw AI Polymarket Trading Bot — TypeScript bot built with the Openclaw AI agent. Predicts crypto price direction on Polymarket’s 5-minute BTC Up/Down markets and places real orders. A TypeScript bot that predicts whether Polymarket’s 5-minute Bitcoin Up/Down markets will move up (YES) or down (NO) over the next 5 minutes and places real CLOB orders.

Compatible Skills

These tools work well together with openclaw-ai-polymarket-trading-bot for enhanced workflows:

  • clawhost — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • Aurogen — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (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:

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