serenity-skill: Serenity-inspired Agent Skill for supply-chain bottleneck stock research

by muxuuu · Codex Skill · ★ 4.1k

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

How to install serenity-skill

git clone https://github.com/muxuuu/serenity-skill.git

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

Security audit verdict: SAFE · quality 67/100

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.

agent-skillsai-agentsclaude-codecodexinvestment-researchstock-researchsupply-chain

Quick Facts

Stars4,061
Forks626
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues2
Last Updated2026-10-11
Created2026-05-04
Platformsclaude-code, codex, python
Est. Tokens~6k

About serenity-skill

Serenity.skill 让 AI 用 Serenity 式投研方法,筛出上涨逻辑更清楚的股票和基金方向 看到 AI 半导体、机器人、CPO、算力、电力设备、创新药这些热点,很多人能感受到热度,却很难判断该看哪条产业链、哪类公司、哪只股票、哪个基金方向。 Serenity.skill 把 Serenity / @aleabitoreddit 公开内容中可观察到的投研路径做成 Agent Skill。它会从热点出发,拆产业链,找供应链瓶颈,筛候选公司和基金方向,再检查公告、财报、客户、产能和风险,最后整理成一份优先研究清单。 它的工作方式很简单:先把热点拆开,看真实需求在哪里,再看哪个环节更难扩产、更难替代,最后回到股票和基金方向,判断哪些线索更值得继续深挖。 它适合面对热点信息流、希望建立系统筛选流程的投资者:让 AI...

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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 Codex Skill tools