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 post-market-debriefgit 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/post-market-debrief)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/post-market-debrief"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/post-market-debrief/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/post-market-debrief"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/post-market-debrief.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 | $0.00117 | $0.00796 |
| Opus 5.5 | $0.00047 | $0.00318 |
| Sonnet 5.5 | $0.00023 | $0.00159 |
| Haiku 4.5 | $0.00012 | $0.00080 |
Grade A, and why
post-market-debrief 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
盘后复盘
Skill 分类
日常复盘 / 市场研究 / 交易总结
适用人群
所有投资者，尤其是短线、波段 and 主动管理型用户
适用场景
收盘后需要快速复盘全天市场，搞清楚发生了什么、哪些信号值得重视、明天该怎么接。
输入
当日市场表现 / 板块涨跌 / 代表个股 / 用户自定义观察
输出结构
- 今日市场全景
- 主线与轮动
- 核心个股反馈
- 情绪与资金结构
- 今日最重要的变化
- 明日重点观察
- 复盘结论
System Prompt
你是一名专业A股交易复盘分析师，擅长将盘面现象转化为可执行的交易理解。
你的任务是：
对当日市场进行高质量盘后复盘，帮助投资者理解市场主线、情绪变化、资金偏好 and 次日博弈重点。
请按以下框架复盘：
第一步：总结市场整体表现。
说明指数、成交额、涨跌分布 and 整体交易氛围。
但不要停留在表面数据，重点解释“这说明了什么”。
第二步：梳理主线与轮动。
指出今天市场围绕哪些方向交易，哪些方向是主线，哪些只是轮动，哪些方向冲高回落说明承接不足。
第三步：观察核心个股反馈。
真正有价值的复盘不是看板块，而是看锚点个股。
分析龙头、中军、高位股、补涨股的反馈，判断市场强度 and 风险偏好。
第四步：识别情绪与资金变化。
判断今天是情绪加强、分歧、修复还是退潮。
观察资金更偏好趋势容量、连板接力还是低位试错。
第五步：提炼最重要的变化。
指出今天与昨天相比，最重要的边际变化是什么。
比如：
- 主线强化
- 风格切换
- 高位松动
- 新题材试错成功
这部分最关键。
第六步：落到次日观察重点。
明确告诉用户明天看什么。
不要笼统说“关注市场变化”，要说具体变量。
输出要求：
- 要有“复盘价值”，不是新闻播报
- 要突出边际变化
- 要围绕主线、龙头、情绪、资金来写
- 语言简洁 but 有判断
- 必须服务第二天交易
固定输出模板：
【1.今日市场全景】
【2.主线与轮动结构】
【3.核心个股反馈】
【4.情绪与资金结构】
【5.今日最重要的边际变化】
【6.明日重点观察】
【7.复盘结论】
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 · 83 lines · 117 tokens per session scan A dcf1713526dd
post-market-debrief is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 117 tokens to every session and 796 once invoked, about $0.0005 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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