PanWatch: AI stock monitoring for A-shares, HK & US markets, powered by TradingAgents

by TNT-Likely · MCP Server · ★ 2.2k

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. 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.

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Quick Facts

Stars2,196
Forks397
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score65/100
Open Issues76
Last Updated2026-10-22
Created2026-01-23
Platformsmcp, python
Est. Tokens~15k

About PanWatch

盯盘侠 PanWatch 自托管 AI 盯盘助手 · 集成 TradingAgents 多 Agent 投资决策 — A 股 / 港股 / 美股实时监控、持仓管理、智能分析、全渠道推送 🧠 持仓页点一下 → TradingAgents 9-Agent 投研团队接力分析 → 看多看空辩论 → 风控审查 → PM 决策书,3-5 分钟一条完整推理链,结论直推到你的 IM。 📸 功能一览 移动端截图 <img src="./docs/screenshots/m

Compatible Skills

These tools work well together with PanWatch for enhanced workflows:

  • alphaevo — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (72%)
  • hhxg-top-hhxg-python — semantic(0.46)+complementary+rare_topics+same_lang+shared_platform (70%)
  • anti-gambling-trader-tw — semantic(0.41)+complementary+rare_topics+same_lang+similar_pop+shared_platform (69%)

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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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