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 dip_buy_decision_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/dip_buy_decision_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/dip_buy_decision_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/dip_buy_decision_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/dip_buy_decision_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/dip_buy_decision_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 | $0.00063 | $0.01462 |
| Opus 5.5 | $0.00025 | $0.00585 |
| Sonnet 5.5 | $0.00013 | $0.00292 |
| Haiku 4.5 | $0.00006 | $0.00146 |
Grade A, and why
dip_buy_decision_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.
This is a copy
83% identical to breakout_candidate_finder_skill — 197 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.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dip Buy Decision 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
本技能用于判断“这次下跌是机会，还是麻烦的开始”。输出重点不是鼓励盲目抄底，而是帮助使用者区分趋势内正常回调、事件性错杀、结构性转弱与纯粹下跌中继，并把承接动作写成有边界的试错方案。
功能简介
本技能的核心功能是：判断回调能不能接以及怎么接。
它强调先判断回调性质，再决定是否试错、如何分批和何时放弃，帮助使用者避免把所有下跌都误判成机会。
使用场景
- 强势股回调后，用户想判断是否迎来低吸窗口。
- 财报、公告或市场波动后，股价快速下跌，需要区分错杀与破位。
- 用户想在回调中布局，但不希望把低吸做成接飞刀。
- 团队需要把“值得承接”与“只能观察”分开管理。
工作原则
- 低吸前必须先判断回调性质，而不是先决定要不要买。
- 趋势未坏、逻辑未坏、环境未坏，才有承接讨论价值。
- 低吸更适合分批试错，不适合一次性重仓判断。
- 必须提前写清放弃标准，避免越跌越补。
- 正文只呈现判断依据与方案，不讨论内部实现过程。
执行流程
Step 1：确认回调背景与下跌类型
先判断这次下跌属于哪一类：
- 强势上涨后的技术性回踩
- 消息或财报后的情绪性下跌
- 大盘系统性波动带来的被动拖累
- 逻辑开始转弱后的趋势破坏
只有先识别下跌类型，后续承接才有意义。
Step 2：检查原有上升逻辑是否仍成立
低吸成立的前提是“贵在回调，不是贵在走坏”：
- 核心驱动是否还在
- 板块或主题是否仍具备活跃度
- 市场对原有逻辑的分歧是否只是短期放大
- 是否出现新的负面变量改变了原判断
Step 3：识别承接区与观察区
把“跌到哪里可以看”写清楚：
- 哪些位置可能形成有意义的支撑
- 哪些区域只是中继停顿，不能贸然承接
- 当前价格距离合理观察区还有多远
- 若价格直接跌穿观察区，应如何重新评估
Step 4：判断回调质量与企稳证据
不是所有跌深都值得买，更重要的是跌法：
- 回调过程中量能是释放还是失控
- 下跌是有序回踩还是单边踩踏
- 是否出现止跌、缩量、承接回升等积极线索
- 若没有企稳证据，是等待确认还是直接放弃
Step 5：设计试错方式与分批节奏
低吸更应重视仓位节奏：
- 首笔只承担什么级别的试错任务
- 后续在哪些确认下允许补第二笔
- 若回调继续深化，是否应暂停而不是摊低成本
- 是否需要将总计划仓位显著低于追突破交易
Step 6：设定放弃标准与失败边界
低吸决策最重要的不是买点，而是停止点：
- 哪个位置或哪类信息出现后应放弃承接
- 连续弱反弹是否说明承接逻辑无效
- 若环境同步恶化，是否需要提前终止
- 何时认定这不是回调而是趋势破坏
Step 7：形成低吸决策成稿
最终输出应帮助使用者知道“能不能接、在哪里接、先接多少、什么情况下不再接”。正文保留回调性质判断、承接区、节奏和放弃标准。
输出结构
低吸决策方案（{YYYY-MM-DD}）
一、30 秒结论
- 交易对象：{股票名称}
- 回调性质：{健康回踩 / 情绪错杀 / 趋势破坏风险}
- 操作倾向：{可试错 / 等待企稳 / 不承接}
- 观察区间：{内容}
- 放弃标准：{一句话}
二、回调判断
| 维度 | 判断 | 结论影响 |
|---|---|---|
| 原逻辑完整度 | {内容} | {内容} |
| 板块环境 | {内容} | {内容} |
| 回调质量 | {内容} | {内容} |
| 企稳证据 | {内容} | {内容} |
三、执行节奏
- 首笔试错条件：{内容}
- 二次承接条件：{内容}
- 不再追加条件：{内容}
四、失败边界
- {边界1}
- {边界2}
- {边界3}
五、风险提示
- {风险1}
- {风险2}
- {风险3}
质量要求
- 必须先判断回调性质，再给出承接建议。
- 低吸建议必须搭配分批节奏与放弃标准。
- 要区分“回调到位”和“走势走坏”。
- 若企稳证据不足，应明确建议继续等待。
- 输出应降低接飞刀概率，而不是美化左侧交易。
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 · 153 lines · 63 tokens per session scan A 82a9cdac57aa
dip_buy_decision_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 63 tokens to every session and 1,462 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to breakout_candidate_finder_skill, differing in 197 lines, and is treated as a copy.
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