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 support_break_warning_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/support_break_warning_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/support_break_warning_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/support_break_warning_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/support_break_warning_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/support_break_warning_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 | $0.00058 | $0.01050 |
| Opus 5.5 | $0.00023 | $0.00420 |
| Sonnet 5.5 | $0.00012 | $0.00210 |
| Haiku 4.5 | $0.00006 | $0.00105 |
Grade A, and why
support_break_warning_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
Support Break Warning 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
本技能用于把价格接近、突破或跌破关键位置时需要关注的判断与动作整理成一份纪律化预警。重点不是简单报一个价位，而是说明这个位置为什么重要、确认标准是什么、失效后会发生什么。
执行流程
Step 1：确认关键位置的定义
先明确用户所说的关键位属于哪一类：
- 前高、前低
- 平台上沿、平台下沿
- 中长期均线附近
- 趋势线、缺口、密集成交区
- 用户预设止损位、止盈位或观察位
如果用户没有给定价格，应结合近期结构先识别最有意义的位置，再进入后续判断。
Step 2：解释位置重要性
说明该位置为何重要，至少回答以下问题：
- 它是趋势延续的确认位，还是趋势破坏的警戒位
- 附近是否可能聚集止损盘、追涨盘或解套盘
- 该位置被突破或跌破后，市场心理预期如何变化
Step 3：判断当前接近状态
识别股票当前处于哪种状态：
- 尚未触及，但正在逼近
- 刚触及，尚未完成确认
- 已有效突破
- 已有效跌破
- 盘中穿越但收盘未确认
盘中触及与收盘确认意义不同，必须单独说明。
Step 4：设定确认规则
为该关键位设定简单明确的确认逻辑，优先考虑：
- 收盘是否站稳或跌破
- 成交量是否放大并匹配方向
- 次日是否延续，而非冲高回落或跌破后回拉
- 板块和市场环境是否支持该方向成立
Step 5：生成应对提示
围绕不同状态给出纪律化提示：
- 未确认前应观察什么
- 有效突破后适合如何处理
- 有效跌破后应优先控制什么风险
- 假突破或假跌破常见的识别信号是什么
Step 6：整合为关键位预警卡
最终输出一张简洁预警卡，直接服务执行与观察，不展开技术分析过程。
输出结构
{股票名称}关键位预警
一、关键位置
- 位置类型：{支撑/压力/前高/前低/平台边界/均线}
- 关键价位：{价格}
- 重要原因：{为什么这个位置重要}
二、当前状态
- 当前位置关系：{逼近/触及/突破/跌破/未确认}
- 量价特征：{放量/缩量/平量，说明结构}
- 环境配合度：{板块与市场是否支持}
三、确认标准
- 向上确认：{满足什么条件才算站稳}
- 向下确认：{满足什么条件才算失守}
- 失真信号：{什么情况代表假突破或假跌破}
四、应对提示
- 当前最优先观察项：{一句话}
- 若向上成立：{行动提示}
- 若向下成立：{行动提示}
- 需要回避的误判：{常见陷阱}
质量要求
- 关键位必须与近期结构有关，不能随意给出缺乏依据的价位。
- 预警重点是“确认条件”，不能把盘中触碰直接写成突破成立。
- 应对提示要体现纪律，不输出模糊表述。
- 若结构本身不清晰，应明确说明“该位置参考意义有限”。
- 语言应便于执行前快速阅读，避免写成长篇技术分析。
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 · 116 lines · 58 tokens per session scan A baa057b3caec
support_break_warning_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 1,050 once invoked, about $0.0002 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
twitter-reader
Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
airdrop-hunting-guide
Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.
recipe-daily-pnl-report
Generate a daily profit and loss summary from trades and balances.