stock-skill: AI agent skill for deterministic K-line structure analysis of A-shares, HK & US stocks

by xiongcp · Claude Skill · ★ 56

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

How to install stock-skill

/plugin marketplace add xiongcp/stock-skill
/plugin install kline-structure-chart@stock-skill

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

Security audit verdict: CAUTION · quality 62/100

Flagged: sudo usage. 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.

a-sharesagent-skillsbacktestingcandlestickclaude-codeclaude-skillscodexhong-kong-stockspythonquantitative-finance

Quick Facts

Stars56
Forks0
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score62/100
Last Updated2026-11-02
Created2026-10-16
Platformsclaude-code, codex, python
Est. Tokens~19k

About stock-skill

kline-structure-chart A股 / 港股 / 美股 K 线数学结构识别与风控研究技能,给 Claude Code、Codex 等 AI 助手使用 中文 项目主页 English TL;DR: An Agent Skill for Claude Code, Codex, Cursor, Gemini CLI and other AI agents. Ask in plain language ("analyze NVDA") and the agent runs deterministic Python on real market data (A-shares, Hong Kong, US) to produce K-line structure, a triple-barrier risk plan, a direction-free 15-day normal...

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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