intraday_abnormal_move_alert_skill

intraday_abnormal_move_alert_skill is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 69 tokens per session (1,313 once invoked), scanned A, original, Apache-2.0.

A guide to unusual stock-price and trading activity, such as sudden rises, sharp falls, unusually high trading volume, or rapid changes in the number of shares traded.

In plain words
What is it for?
Use it while watching markets to investigate price changes, assess whether they may continue, and decide what to track next.
Why use it?
It helps distinguish a move with a plausible cause from noise that may not last.

Skill for Claude CodeCodex

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

Good fit Use it while watching markets to investigate price changes, assess whether they may continue, and decide what to track next.

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Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill
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 chuancyzhang/deepseek-cowork --skill intraday_abnormal_move_alert_skill
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

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 intraday_abnormal_move_alert_skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill)
Your own site
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill/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 intraday_abnormal_move_alert_skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,313 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 original No closer match found 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 $0.00069 $0.01313
Opus 5.5 $0.00028 $0.00525
Sonnet 5.5 $0.00014 $0.00263
Haiku 4.5 $0.00007 $0.00131

Measured 1mo ago against content hash fa8d79f93200, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

intraday_abnormal_move_alert_skill 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 1mo 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.

ai_skills/wind-aifinmarket/skills/intraday_abnormal_move_alert_skill/SKILL.md · 115 lines

What it actually says

Intraday Abnormal Move Alert Skill

数据依赖与执行前置条件

推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill;若没有,提示用户安装:

Cowork 适配:所需子 Skill 已随 wind-aifinmarket 固定快照内置,不执行安装或在线更新命令。

技能定位

本技能用于在盘中出现快速上涨、快速下跌、放量冲击或换手异常时,给出一份“先解释、再分级、后提示动作”的快判结果。核心目标是帮助使用者判断这波异动是噪音、事件驱动,还是值得持续跟踪的有效变化。

执行流程

Step 1:定义异动对象与异动形态

先明确是哪只股票、哪一个时间段、哪一种异动。异动形态至少要描述清楚以下信息:

  • 价格方向:急拉、急跌、冲高回落、探底回升、震荡放大
  • 幅度与速度:短时波动是否显著偏离常态
  • 成交变化:是否同步放量、缩量、换手抬升
  • 所处位置:发生在前高、前低、均线密集区还是趋势中继区

Step 2:排查显性驱动

优先检查是否存在能直接解释异动的新增信息,重点覆盖:

  • 公司公告、行业新闻、政策消息、监管动态
  • 财报、业绩预告、产品发布、重大合同、停复牌信息
  • 板块集体异动、指数或期货联动、海外映射

如果找不到明显催化,也要明确说明“暂未发现新增显性驱动”,不能假设一定有消息。

Step 3:判断异动是否有板块或情绪共振

分析该股票的异动是孤立事件还是群体行为,重点回答:

  • 同板块是否同步异动
  • 题材热度是否正在扩散
  • 是否与市场主线方向一致
  • 是否只是资金在局部抱团或高位切换

孤立异动与板块共振的意义完全不同,必须区分。

Step 4:评估持续性与可信度

从“事件强度、量价结构、位置关系、跟风程度”四个角度评估异动质量:

  • 事件是否足够新、足够强、足够具体
  • 放量是否匹配价格突破,而非尾盘或瞬时脉冲
  • 当前价格位置是否容易遭遇套牢盘或获利盘
  • 市场是否给予持续跟单,而非一笔单拉抬

Step 5:给出应对提示

输出的重点不是直接下结论买卖,而是告诉用户此时应优先观察什么:

  • 若异动可信,应继续盯哪些确认信号
  • 若异动质量一般,应防范哪些回撤或反抽陷阱
  • 若异动高度存疑,应如何降低关注优先级

Step 6:整合成盘中快判卡片

最终输出一份简洁结论卡,不展开内部排查过程。语言应短促、明确、便于盘中快速阅读。

输出结构


{股票名称}盘中异动快判({HH:mm})

一、异动概况

  • 异动类型:{急拉/急跌/冲高回落/探底回升}
  • 异动描述:{在多长时间内出现了怎样的价格和成交变化}
  • 所处位置:{关键位、区间中部、前高附近、前低附近等}

二、可能驱动

  • 显性驱动:{若有,写明核心事件;若无,写“暂未发现新增显性驱动”}
  • 板块共振:{是否有,表现如何}
  • 情绪因素:{是否属于题材发酵、资金抢筹、恐慌踩踏等}

三、异动质量判断

维度 判断 说明
事件强度 高/中/低 {原因}
量价匹配 高/中/低 {原因}
持续概率 高/中/低 {原因}
回落风险 高/中/低 {原因}

四、盘中应对重点

  • 优先确认信号:{继续走强需要看到什么}
  • 失效信号:{若出现什么,说明异动大概率失真}
  • 当前结论:{一句话总结是否值得持续跟踪}

质量要求

  1. 快判必须优先回答“为什么动”和“这波能不能信”,而不是重复分时表现。
  2. 找不到原因时要如实说明,不允许把猜测包装成事实。
  3. 对持续性的判断必须带依据,不能只写“看起来很强”。
  4. 正文应适配盘中阅读,避免长段背景介绍。
  5. 若是整个板块共振引发的异动,要突出“个股只是映射”还是“个股具备独立催化”。
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. 1mo ago First seen · 115 lines · 69 tokens per session scan A fa8d79f93200

Subscribe to this mod's changes

intraday_abnormal_move_alert_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 69 tokens to every session and 1,313 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

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