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 gap_open_interpreter_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/gap_open_interpreter_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/gap_open_interpreter_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/gap_open_interpreter_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/gap_open_interpreter_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/gap_open_interpreter_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 | $0.01058 |
| Opus 5.5 | $0.00026 | $0.00423 |
| Sonnet 5.5 | $0.00013 | $0.00212 |
| Haiku 4.5 | $0.00006 | $0.00106 |
Grade A, and why
gap_open_interpreter_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
Gap Open Interpreter 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
本技能用于解释股票为何高开或低开，以及这种跳空究竟代表预期兑现、预期强化，还是情绪过热。重点不是描述开盘价本身，而是把缺口背后的预期差讲清楚，并提示开盘后最容易出现的风险与验证点。
执行流程
Step 1：确认跳空背景
先明确跳空发生在什么背景下：
- 是否存在隔夜公告、财报、政策、海外映射或板块利好利空
- 是个股独立跳空，还是板块集体跳空
- 当前股价位于低位、中位还是高位
Step 2：判断跳空性质
把跳空分为更有判断意义的几类：
- 事件驱动型跳空
- 情绪强化型跳空
- 补涨补跌型跳空
- 技术位置触发型跳空
- 无明显新增驱动的情绪性高低开
Step 3：解释市场预期差
围绕“为什么不是平开”来组织判断：
- 市场提前反映了什么
- 还有哪些内容尚未被充分计入
- 跳空幅度是否已经透支后续空间
- 开盘后最容易出现哪类资金分歧
Step 4：评估缺口质量
重点判断：
- 缺口是否有扎实事件支撑
- 缺口方向是否与中期结构一致
- 缺口位置是否靠近强阻力或强支撑
- 若高开过多，是否存在兑现压力
- 若低开过深，是否可能出现情绪错杀
Step 5：给出开盘后观察框架
给出具体观察点：
- 强势缺口应看承接和回踩表现
- 弱势缺口应看回补速度和反抽力度
- 若是情绪型缺口，应防止高开低走或低开下杀
Step 6：整合成跳空解读结果
最终输出围绕“跳空原因、可信度、开盘后关键观察”展开，不展示内部推断过程。
输出结构
{股票名称}跳空预期解读
一、跳空概况
- 方向：{高开/低开}
- 背景：{隔夜事件或板块环境}
- 所处位置：{低位/中位/高位/关键位附近}
二、跳空性质判断
- 主要类型：{事件驱动/情绪强化/补涨补跌/技术触发}
- 预期差来源：{一句话说明}
- 当前市场在交易什么：{一句话说明}
三、缺口质量评估
| 维度 | 判断 | 说明 |
|---|---|---|
| 事件支撑 | 高/中/低 | {原因} |
| 结构配合 | 高/中/低 | {原因} |
| 回补风险 | 高/中/低 | {原因} |
| 日内延续性 | 高/中/低 | {原因} |
四、开盘后观察重点
- 强势确认信号：{看什么}
- 转弱信号：{看什么}
- 当前一句话结论：{值不值得继续跟踪}
质量要求
- 解读核心是预期差，而不是机械描述高开或低开幅度。
- 跳空判断必须结合位置与背景，不能脱离结构单独下结论。
- 若事件信息不足以支撑大幅跳空，要明确提示情绪透支风险。
- 对“强势缺口”和“诱多缺口”要尽量区分。
- 输出应帮助用户在开盘后迅速抓住验证点。
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 · 113 lines · 64 tokens per session scan A b9a691a83928
gap_open_interpreter_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 1,058 once invoked, about $0.0003 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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