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 price_target_reach_alert_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/price_target_reach_alert_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/price_target_reach_alert_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/price_target_reach_alert_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/price_target_reach_alert_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/price_target_reach_alert_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 | $0.00060 | $0.01030 |
| Opus 5.5 | $0.00024 | $0.00412 |
| Sonnet 5.5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
price_target_reach_alert_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
Price Target Reach Alert 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
本技能用于在股价接近、达到或超过目标价时，把“要不要卖、卖多少、要不要重新看目标”这类问题整理成有纪律的处理框架。重点不是机械地到价即卖，而是判断目标价触发后当前赔率、预期兑现度和持仓处理优先级。
执行流程
Step 1：确认目标价背景
先明确目标价从何而来，以及它代表什么：
- 研究目标价
- 交易计划中的止盈位
- 技术目标位
- 用户自设观察位
若目标价来源不清，先说明其参考意义有限，再进入处理建议。
Step 2：判断当前触发状态
识别股价与目标价的关系：
- 尚未触达，但已接近
- 刚好触达
- 短暂穿越
- 明显超过
- 触达后回落
不同触发状态对应的处理优先级不同。
Step 3：评估目标是否已被兑现
围绕“市场是不是已经交易完这段预期”来判断：
- 原先驱动股价上涨的核心逻辑是否已充分反映
- 当前价格是否仍有新增催化支撑
- 达到目标价时量价表现是强势扩张还是冲高衰竭
- 板块环境是否仍支持继续上修预期
Step 4：给出分批处理框架
根据触发质量给出处理建议的方向：
- 若只是接近目标价：以观察和验证为主
- 若目标价被平稳触达：考虑分批兑现与保留跟踪仓位
- 若强势穿越目标价：考虑重新评估目标，而不是机械一次性处理
- 若触价即回落：重点提示预期兑现和回撤风险
Step 5：补充再评估条件
若判断需要重估目标价，应说明哪些条件满足时才合理上修，例如：
- 基本面验证超预期
- 新增催化显著强于原假设
- 结构突破并得到持续承接
Step 6：输出目标价触发卡
最终输出应明确“当前状态、处理建议、保留条件、失效条件”，不展示内部推导过程。
输出结构
{股票名称}目标价触发提示
一、触发状态
- 目标价：{价格}
- 当前关系：{接近/触达/穿越/回落}
- 目标价性质：{研究目标/交易目标/技术目标/自设目标}
二、当前判断
- 预期兑现度：{高/中/低}
- 继续上行空间判断：{高/中/低}
- 回撤风险判断：{高/中/低}
三、处理建议
- 建议动作：{观察/分批兑现/保留仓位/重新评估}
- 动作理由：{一句话说明}
- 若继续持有，重点看：{验证信号}
- 若开始兑现，优先原则：{纪律提示}
四、再评估条件
- {什么条件下可以重新抬高预期}
- {什么条件下应确认目标价已基本完成}
质量要求
- 到价处理必须同时考虑预期兑现度和新增催化，不能机械处理。
- 分批建议应体现纪律性，避免模糊表述。
- 若目标价本身依据薄弱，要明确提示其参考价值有限。
- 对“强势穿越目标价”和“触价即回落”要给出不同框架。
- 输出应服务执行，不写成泛泛估值评论。
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 · 114 lines · 60 tokens per session scan A e1dc47088e32
price_target_reach_alert_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 60 tokens to every session and 1,030 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.
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