serenity-stock-choke

serenity-stock-choke is a skill for Claude Code, Codex from huangrichao2020/pretty-skills. It costs 210 tokens per session (3,068 once invoked), scanned A, a copy of serenity-stock-choke, MIT.

A stock-screening workflow for China’s A-share market, based on supply-chain bottlenecks. A bottleneck is a part, material, or process that can stop a larger industry if its supply is interrupted.

In plain words
What is it for?
Use it to analyse sectors such as semiconductors, medical devices, power, or new-energy vehicles, identify vulnerable supply-chain stages, and screen related A-share companies.
Why use it?
It helps turn a broad industry idea into a structured search for hard-to-replace supply-chain links and related small companies. It is not intended to predict the overall market or find purely speculative stocks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyse sectors such as semiconductors, medical devices, power, or new-energy vehicles, identify vulnerable supply-chain stages, and screen related A-share companies.

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Install with agentmods
npx agentmods add skills/huangrichao2020/pretty-skills/serenity-stock-choke-a
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add huangrichao2020/pretty-skills --skill serenity-stock-choke-a
Clone the repo
git clone --depth 1 https://github.com/huangrichao2020/pretty-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for serenity-stock-choke

README.md
[![agentmods](https://agentmods.dev/badge/skills/huangrichao2020/pretty-skills/serenity-stock-choke-a/github.svg)](https://agentmods.dev/skills/huangrichao2020/pretty-skills/serenity-stock-choke-a)
Your own site
<a href="https://agentmods.dev/skills/huangrichao2020/pretty-skills/serenity-stock-choke-a"><img src="https://agentmods.dev/badge/skills/huangrichao2020/pretty-skills/serenity-stock-choke-a/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for serenity-stock-choke

Your own site · 80×15
<a href="https://agentmods.dev/skills/huangrichao2020/pretty-skills/serenity-stock-choke-a"><img src="https://agentmods.dev/badge/skills/huangrichao2020/pretty-skills/serenity-stock-choke-a.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 210 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,068 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00210 $0.03068
Opus 5 $0.00105 $0.01534
Sonnet 5 $0.00042 $0.00614
Haiku 4.5 $0.00021 $0.00307

Measured 12d ago against content hash 9818e66cf8f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

serenity-stock-choke scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to serenity-stock-choke — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

金融投资/serenity-stock-choke-A股卡脖子/SKILL.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Serenity A股卡脖子框架 · 通用版 v2.0

你的核心使命

"沿着产业链向上游追溯,找到那个'一旦断货,万亿产业就要地震'的关键节点——那个节点上的小盘股,就是下一个暴击机会。"

这不是基本面投资,也不是技术分析。这是供应链地缘政治分析。


通用推理链路(六步法)

无论用户给出哪个板块,按以下六步顺序执行。

第一步:定位板块所处周期阶段

用户输入板块名称 → 判断属于哪条产业链 → 确认该产业链当前所处周期

三种周期类型

类型 特征 信号 典型板块
需求爆发期 终端需求暴增,中游扩产来不及 价格上涨,订单排到几年后 AI算力、固态电池(2024-2026)
技术跃迁期 新技术替代旧技术,旧技术突然被禁 政策打压旧技术,补贴新技术 CPO替代可插拔、HJT替代PERC
供给受限期 关键原材料被卡/产能有限 报价暴涨,供应商份额成壁垒 InP衬底、氦气、高纯石英

工具neodata 搜索"[板块] 供需缺口"或"[板块] 扩产周期"

第二步:溯源供应链,定位"卡脖子"节点

列出该板块完整的供应链层级 → 逐层排查哪个环节最容易被卡

溯源模板(每分析一个板块都要过一遍):

终端产品
  ↓
[最终组装/集成]         ← 是否有产能集中度风险?
  ↓
[核心零部件]           ← 是否有技术壁垒?
  ↓
[关键材料/元器件]       ← 是否有原料依赖?(国内能否自产?)
  ↓
[上游化工/矿产/稀有气体]  ← 是否有资源垄断?

判断标准:什么环节容易成为卡脖子?

  • ✅ 技术壁垒极高(专利林立、know-how积累深厚)
  • ✅ 产能建设周期长(2-5年扩产窗口)
  • ✅ 国内自给率低(依赖进口)
  • ✅ 单一供应商或寡头垄断
  • ✅ 不可替代性高(无备选方案)
  • ✅ 地缘政治风险(出口管制、制裁)

工具neodata 搜索"[具体环节] 国产替代 产能" + 政策文件检索

第三步:找A股对应标的,建立"卡脖子定位"标签

瓶颈环节 → 有哪些A股公司覆盖? → 一句话定位其"卡脖子"价值

标的四维信号卡(每个候选股都要填):

维度 要查什么 数据来源
卡脖子定位 在这个环节的份额/技术壁垒/专利 neodata公司概况
估值水位 P/E、P/B、PB在板块内分位 neodata行情
资本信号 主力净流入、融资融券、龙虎榜 neodata + westock
机构关注度 近期研报覆盖、目标价 neodata研报

输出格式

## 候选标的
[公司简称] [代码]
- 卡脖子定位:(一句话)
- 今日走势:(价格/涨跌幅)
- 估值分位:(P/E/P/B 在板块内位置)
- 主力信号:(净流入/融资余额变化)
- 风险:(潜在利空)

第四步:筛选"真瓶颈"与"伪概念"

六条排除规则(严格执行,有一条就剔除):

# 排除条件 典型案例
1 有业务但不是主营(蹭热点) 主营做电缆的突然说做CPO
2 国内竞争格局分散,无护城河 大量同质化小厂
3 产能扩张太容易(壁垒低) 通用型原材料
4 进口替代逻辑不成立(国外也无货) 全球都缺的氖气
5 估值已充分反映(过于知名) 各环节龙头都已大涨
6 无机构关注(流动性陷阱) 日均成交额<5000万

工具westock-data 查公司主营结构 + neodata 查竞争格局

第五步:多空双向确认(不做单边多头)

做多信号 做空/观望信号
✅ 板块主力净流入持续 ❌ 板块主力净流出
✅ 机构开始覆盖(研报出现) ❌ 无研报、无人问津
✅ 产能建设周期>2年(壁垒高) ❌ 产能半年可达
✅ 政策明确支持(文件/补贴) ❌ 政策压制
✅ 筹码集中度提升(wakuang减少) ❌ 股东人数暴增
✅ 估值分位低于板块平均 ❌ P/E > 历史80%分位

Read the full file on GitHub · 285 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 285 lines · 210 tokens per session scan A 9818e66cf8f3

Subscribe to this mod's changes

serenity-stock-choke is a skill published in the GitHub repository huangrichao2020/pretty-skills (54 stars, last pushed today), licensed MIT. It adds 210 tokens to every session and 3,068 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to serenity-stock-choke, differing in 0 lines, and is treated as a copy.

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