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 watchlist_news_impact_digest_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/watchlist_news_impact_digest_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/watchlist_news_impact_digest_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/watchlist_news_impact_digest_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/watchlist_news_impact_digest_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/watchlist_news_impact_digest_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 | $0.00064 | $0.01117 |
| Opus 5.5 | $0.00026 | $0.00447 |
| Sonnet 5.5 | $0.00013 | $0.00223 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
watchlist_news_impact_digest_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 — 188 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.
What it actually says
Watchlist News Impact Digest 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
本技能用于把一组自选股在指定窗口内的新闻与公告压缩成“有影响的信息清单”。重点不是信息搬运，而是完成筛噪、归类和影响判断，让使用者快速知道哪些消息值得重视、影响方向是什么、影响会持续多久。
执行流程
Step 1：明确股票池与统计区间
先确认自选股范围，以及需要回顾的时间区间。若用户未指定，默认处理最近一个自然日或上一交易日收盘后至当前时点的信息。
Step 2：汇总增量信息
逐只汇总新增信息，优先纳入以下类别：
- 公司公告、监管文件、停复牌、股东行为、资本运作
- 业绩相关信息、经营更新、重大客户与订单
- 行业政策、供需变化、价格波动、竞品动态
- 主流媒体报道、市场关注度明显升高的话题
对于重复转载、无新增实质内容的稿件，要合并为一条或直接剔除。
Step 3：按信息类型重组
将信息重组成更适合决策的分类，而不是按来源罗列：
- 经营层变化
- 资本市场层变化
- 行业与政策层变化
- 情绪与舆论层变化
这样可以避免一家公司有十几条新闻但真正重要的只有一条。
Step 4：判断影响方向与期限
对每条核心信息判断三个维度：
- 方向：偏利多、偏利空、中性、需继续观察
- 期限：短线影响、中期影响、长期影响
- 确定性：高、中、低
如果信息影响高度依赖后续披露、执行落地或市场解读，应明确标注不确定性来源。
Step 5：提炼需要跟踪的问题
对于真正重要的信息，不只给结论，还要补上后续需要继续验证的问题，例如：
- 事件是否一次性，还是趋势性变化
- 当前市场是否已经充分反映
- 后续还有哪些关键节点会验证或否定该消息
Step 6：整理成复盘摘要
最终输出按“股票 - 核心信息 - 影响判断 - 后续观察点”组织，不展示逐条搜索过程。
输出结构
自选股新闻影响摘要（{YYYY-MM-DD}）
一、今日最值得关注的新增信息
- {股票A}：{一句话摘要}，判断为 {偏利多/偏利空/中性}
- {股票B}：{一句话摘要}，判断为 {偏利多/偏利空/中性}
二、分股票新闻解读
| 股票 | 核心信息 | 影响方向 | 影响期限 | 确定性 | 后续观察点 |
|---|---|---|---|---|---|
| {股票A} | {摘要} | 偏利多 | 短中期 | 高 | {要继续看什么} |
| {股票B} | {摘要} | 中性 | 短期 | 中 | {要继续看什么} |
三、噪音与误导信息提示
- {哪些信息热度高但实质增量有限}
- {哪些信息需要防止过度解读}
四、结论
- 应提高关注级别的股票：{股票/原因}
- 暂不改变原判断的股票：{股票/原因}
- 需要等待更多信息确认的股票：{股票/原因}
质量要求
- 影响判断必须围绕股票主线，不要把泛行业新闻机械地套到每只股票上。
- 同一条消息若已被市场充分预期，应降低其新增影响等级。
- 对“情绪利多”和“基本面利多”要明确区分，不能混写。
- 若没有足够依据判断方向，应写“需继续观察”，而不是强行定性。
- 输出要帮助复盘和筛选优先级，而不是形成新闻堆砌。
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 · 108 lines · 64 tokens per session scan A 61bfb63dabfa
watchlist_news_impact_digest_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 1,117 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 188 lines, and is treated as a copy.
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