polymarket-tennis: Polymarket tennis trading toolkit: discover tennis markets on the Gamma API, match them to live tennis matches

by livetennisapi · Claude Skill · ★ 280

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

How to install polymarket-tennis

pip install polymarket-tennis
pip install "polymarket-tennis @ git+https://github.com/livetennisapi/polymarket-tennis"

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

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.

claude-codegamma-apikalshilive-scorespolymarketpolymarket-apipolymarket-botpolymarket-tennisprediction-marketspython

Quick Facts

Stars280
Forks236
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues1
Last Updated2026-09-28
Created2026-08-18
Platformsclaude-code, python
Est. Tokens~10k

About polymarket-tennis

polymarket-tennis — Polymarket tennis trading toolkit The live-data layer for Polymarket tennis trading: discover tennis event markets, match them to live tennis scores, and watch market prices against the real match state — score line, server, break-point flag — in one joined view. Disclosure: this toolkit is built and maintained by the team behind the Live Tennis API.

Compatible Skills

These tools work well together with polymarket-tennis for enhanced workflows:

  • polymarket-paper-trader — semantic(0.60)+complementary+rare_topics+same_lang+similar_pop+shared_platform (85%)
  • polymarket-ai-market-suggestor — semantic(0.72)+complementary+rare_topics+same_lang+similar_pop+shared_platform (84%)
  • polymarket-mcp-server — semantic(0.52)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • globalpercent — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)

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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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