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.
npx skills add chuancyzhang/deepseek-cowork --skill intraday_abnormal_move_alert_skillgit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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.
[](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/intraday_abnormal_move_alert_skill)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
- 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。
- 找不到原因时要如实说明,不允许把猜测包装成事实。
- 对持续性的判断必须带依据,不能只写“看起来很强”。
- 正文应适配盘中阅读,避免长段背景介绍。
- 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”。
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.
- 1mo ago First seen · 115 lines · 69 tokens per session scan A fa8d79f93200
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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