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 trading_halt_resume_tracker_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/trading_halt_resume_tracker_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/trading_halt_resume_tracker_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/trading_halt_resume_tracker_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/trading_halt_resume_tracker_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/trading_halt_resume_tracker_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 | $0.00062 | $0.01040 |
| Opus 5.5 | $0.00025 | $0.00416 |
| Sonnet 5.5 | $0.00012 | $0.00208 |
| Haiku 4.5 | $0.00006 | $0.00104 |
Grade A, and why
trading_halt_resume_tracker_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
Trading Halt Resume Tracker 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
本技能用于解释一只股票为什么停牌、为什么复牌、事件进展到了哪一步，以及复牌后最需要关注什么。目标是把停复牌从“事件名称”转化为“对股价和预期的实际影响框架”。
执行流程
Step 1：确认停复牌状态
先明确事件属于哪一种：
- 停牌
- 临时停牌
- 长时间停牌
- 复牌
- 复牌前最新进展披露
同时确认事件发生时间、持续时间以及当前是否仍处于信息不完整阶段。
Step 2：识别触发原因
重点梳理触发停复牌的核心原因：
- 重大资产重组、并购、定增、控制权变化
- 重大公告待披露
- 股价异常波动、监管核查
- 财务或治理风险
- 退市风险、债务风险、重大诉讼
若原因为多重因素叠加，要识别主因，不要平均展开。
Step 3：梳理事件时间线
将事件按时间线重构，说明：
- 何时首次停牌或临停
- 期间披露了哪些关键信息
- 当前信息透明度到了什么程度
- 复牌是否意味着核心不确定性已部分消除
Step 4：评估复牌影响机制
停复牌事件的核心不在“发生了什么”，而在“市场会如何定价”。需要重点判断：
- 是利好兑现、风险释放，还是不确定性延后
- 复牌后更可能面临补涨、补跌、震荡换手还是持续博弈
- 是否存在流动性冲击、情绪宣泄或监管约束
Step 5：提炼复牌后观察框架
若已复牌或即将复牌，明确给出：
- 开盘最需要关注的价格和成交信号
- 事件主线是否足够强到支持持续交易
- 哪些表现说明市场仍不认可当前披露内容
Step 6：整理成停复牌跟踪摘要
最终输出应体现“原因 - 进展 - 影响 - 后续观察”的闭环，不展示信息搜集过程。
输出结构
{股票名称}停复牌跟踪
一、事件状态
- 当前状态：{停牌/临停/复牌/待复牌}
- 触发时间：{日期时间}
- 核心原因：{一句话}
二、事件时间线
| 时间 | 进展 | 对市场理解的影响 |
|---|---|---|
| {时间} | {事件} | {影响} |
三、影响判断
- 事件性质：{偏利多/偏利空/中性/仍不确定}
- 不确定性是否下降：{高/中/低}
- 复牌后主要风险：{风险}
- 复牌后主要机会：{机会}
四、复牌后观察框架
- 最先看什么：{价格/成交/承接/回补}
- 走强确认信号：{信号}
- 转弱或失败信号：{信号}
质量要求
- 不要只停留在事件名称层面，要解释其对定价的实际影响路径。
- 若披露仍不充分，要明确写出剩余不确定性在哪里。
- 复牌判断要特别关注流动性和情绪冲击，不可只看公告措辞。
- 长时间停牌与短时临停的解读框架要区分。
- 输出要帮助用户构建后续观察，而不是只完成新闻摘要。
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 · 62 tokens per session scan A bc9054165d4c
trading_halt_resume_tracker_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 1,040 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.