skill-market-daily-review: Agent skill for Pandadata-based A-share after-close daily market review reports

by quantskills · Claude Skill · ★ 53

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

Security audit verdict: SAFE · quality 67/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.

a-shareagent-skillclaude-skillcodex-skillcursor-skilldaily-reviewgpl-3pandadata

Quick Facts

Stars53
Forks9
LanguagePython
CategoryClaude Skill
LicenseGPL-3.0
Quality Score67/100
Last Updated2026-07-16
Created2026-06-11
Platformsclaude-code, codex, python
Est. Tokens~3k

About skill-market-daily-review

📰 Market Daily Review Skill 简体中文 | English 收盘后一句话生成 A 股当日复盘:指数与估值、市场宽度、行业概念热点、龙虎榜、大宗、两融、北向 —— 每个数字可溯源,支持定时自动生成。 📖 这是什么 是一个 Agent Skill:基于 Pandadata 数据生成 A 股收盘复盘报告。它内置了固定的报告模板、统一的数据采集顺序、明确的 T+1 数据标注规则,以及一个自动校验脚本 —— 报告写完后用 检查章节完整性、数据来源标注和免责声明,不合格就修,合格才交付。 可以手动触发("今天复盘一下"),也可以挂成交易日收盘后的定时任务,每天 18:30 自动产出 。 数据契约一律来自姊妹技能 。 ⚡ 生成流水线 mermaid flowchart TD A["⏰ 手动触发 或 cron 18:30"] -- B{"📅...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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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