Agent skill

Market Opening Analyst

by digoal in digoal/blog

分析下一次开市可能引爆上涨或下跌的行业与标的,输出图文并茂的 Markdown 开市预判报告。触发条件:用户提到"开市分析"、"下次开市"、"明天开盘"、"下周开盘"、"开盘预判"、"市场开局"、"开盘会怎样"、"哪些板块会涨"、"哪些股会跌"、"下一个交易日"、"复盘预判"、"节后开市"、"利好利空分析",或希望对下一个交易日进行前瞻性分析。即使用户只说"明天市场怎么样"或"帮我分析一下开盘情…

GPL-2.0Auto-check passedDocuments & Office

Install Market Opening Analyst

skills CLI
$ npx skills add digoal/blog --skill market-opening-analyst -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install digoal/blog market-opening-analyst --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/market-opening-analyst .claude/skills/market-opening-analyst && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
market-opening-analyst
GitHub stars
8.6k
Token cost
~871 tokens
SKILL.md length
92 words
Files
3
Skills in repo
98
Repo updated
First seen
Licence
GPL-2.0

At a glance

分析下一次开市可能引爆上涨或下跌的行业与标的,输出图文并茂的 Markdown 开市预判报告。触发条件:用户提到"开市分析"、"下次开市"、"明天开盘"、"下周开盘"、"开盘预判"、"市场开局"、"开盘会怎样"、"哪些板块会涨"、"哪些股会跌"、"下一个交易日"、"复盘预判"、"节后开市"、"利好利空分析",或希望对下一个交易日进行前瞻性分析。即使用户只说"明天市场怎么样"或"帮我分析一下开盘情…

  • Works in 3 steps: :搜集当前关键信息 → :构建前提假设矩阵 → :生成报告
  • Tasks that involve Markdown
  • SKILL.md covers 技能目标, 工作流程, 报告结构模板 and 三、看涨分析 🟢, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Market Opening Analyst is an agent skill from digoal/blog. 分析下一次开市可能引爆上涨或下跌的行业与标的,输出图文并茂的 Markdown 开市预判报告。触发条件:用户提到"开市分析"、"下次开市"、"明天开盘"、"下周开盘"、"开盘预判"、"市场开局"、"开盘会怎样"、"哪些板块会涨"、"哪些股会跌"、"下一个交易日"、"复盘预判"、"节后开市"、"利好利空分析",或希望对下一个交易日进行前瞻性分析。即使用户只说"明天市场怎么样"或"帮我分析一下开盘情况",也应使用本 skill。输出为图文并茂的 Markdown 文件,保存到当前项目 markdown/ 目录。

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `test-prompts.json`).

It sits in Documents & Office, covering Markdown. The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.

When your agent uses it

  • Tasks that involve Markdown

Example prompts

  • “哪些板块会涨”
  • “下一个交易日”
  • “利好利空分析”
  • “/market-opening-analyst”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. :搜集当前关键信息
  2. :构建前提假设矩阵
  3. :生成报告

What it can do on your machine

Read from SKILL.md and the folder at commit ad6fcb7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Market Opening Analyst loads about 871 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 92 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~871

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 92 words, ~871 tokens.

Download SKILL.mdSave it as .claude/skills/market-opening-analyst/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
market-opening-analyst
description
分析下一次开市可能引爆上涨或下跌的行业与标的,输出图文并茂的 Markdown 开市预判报告。触发条件:用户提到"开市分析"、"下次开市"、"明天开盘"、"下周开盘"、"开盘预判"、"市场开局"、"开盘会怎样"、"哪些板块会涨"、"哪些股会跌"、"下一个交易日"、"复盘预判"、"节后开市"、"利好利空分析",或希望对下一个交易日进行前瞻性分析。即使用户只说"明天市场怎么样"或"帮我分析一下开盘情况",也应使用本 skill。输出为图文并茂的 Markdown 文件,保存到当前项目 markdown/ 目录。

Market Opening Analyst — 市场开局分析

技能目标

在下一次开市前,基于宏观环境、政策信号、资金动向、技术面、市场情绪等多维度数据,对可能引爆上涨的行业/标的与可能下跌的行业/标的进行系统性推演,并输出带有前提条件 → 逻辑推导 → 事实验证 → 前提崩塌备选结论的专业报告。


工作流程

Step 1:搜集当前关键信息

使用 web_search 搜集以下数据(优先搜索中英文权威来源):

  1. 宏观面:美联储/央行最新表态、利率动向、汇率(美元指数、人民币中间价)
  2. 政策面:最新政策发布(国务院、证监会、行业监管)、两会/重要会议信号
  3. 外盘动向:美股三大指数、纳斯达克科技板块、港股恒指、日经、欧股收盘
  4. 大宗商品:原油、黄金、铜、铁矿石、农产品期货价格变动
  5. 资金面:北向资金、融资融券余额、ETF申赎、大宗交易异常
  6. 市场情绪:涨跌停个数、量能变化、龙虎榜游资动向、情绪指数
  7. 行业催化剂:最新财报超预期、重大合同公告、行业景气数据(PMI/PPI/CPI等)
  8. 近期热点:AI/新能源/半导体/消费等主线最新进展

搜索策略:

  • 关键词:"A股" OR "中国股市" 今日 开盘、美股 隔夜 收盘、北向资金 今日
  • 用 web_fetch 拉取财经媒体头条(东方财富、同花顺、Bloomberg中文、wind)
  • 若无法获取实时数据,明确标注"数据截至知识截点"并基于近期趋势推演

Step 2:构建前提假设矩阵

对每个看涨/看跌结论,设定基准前提(Base Case)和备选前提(Alt Case),格式如下:

前提A(基准):[描述当前最可能成立的市场假设]
  └─ 逻辑推导:[A → B → C,得出结论]
  └─ 数据支撑:[引用具体数据/事件]
  └─ 结论:[涨/跌,行业/标的]

前提A崩塌条件:[什么情况下该前提不成立]
  └─ 备选前提A':[替代假设]
  └─ 备选结论:[新的涨跌判断]

Step 3:生成报告

输出 Markdown 文件,保存路径:markdown/市场开局分析_[日期].md

报告必须包含以下模块(顺序固定):


报告结构模板

markdown
# 📈 市场开局分析 — [开市日期/周期]
> 生成时间:[当前时间] | 分析师:Claude Market Analyst
> ⚠️ 本报告为逻辑推演,不构成投资建议

---

## 一、宏观环境快照

[用 ASCII 表格或 Mermaid 图呈现关键指标]

| 指标 | 最新值 | 变动 | 信号 |
|------|--------|------|------|
| 美元指数 | ... | ... | 🔴/🟢 |
| 人民币汇率 | ... | ... | ... |
| 美股纳指 | ... | ... | ... |
| 北向资金(近5日) | ... | ... | ... |

---

## 二、逻辑推演框架

[Mermaid flowchart 展示整体推演逻辑]

```mermaid
flowchart TD
    A[宏观前提] --> B{政策/外盘信号}
    B -->|利好| C[资金流入预期]
    B -->|利空| D[避险情绪]
    C --> E[看涨标的]
    D --> F[看跌标的]

三、看涨分析 🟢

板块/标的 1:[名称]

前提条件(基准)

[清晰陈述该判断成立的前提]

逻辑推导链

[前提] → [传导机制] → [板块受益] → [预期表现]

数据支撑

  • 📊 [具体数据/事件/政策]
  • 📰 [信息来源]

关键标的:[公司名/代码](原因:...)

前提崩塌预案

崩塌条件备选结论
[如果...][那么结论反转为...]

四、看跌分析 🔴

[同上结构]


五、不确定性矩阵

[ASCII 图或 Mermaid 象限图,展示各判断的确定性 vs 潜在影响]

高确定性
    │   [标的B]          [标的A]
    │
    │──────────────────────────→ 高影响
    │
    │   [标的D]          [标的C]
低确定性

六、开盘观察清单

开盘后15分钟内,重点观察以下信号来验证/推翻前提:

  • 量能是否 > 上日50%(验证做多意愿)
  • 北向资金开盘流向(验证外资预判)
  • [看涨板块]指数是否高开高走
  • [看跌标的]是否出现封死跌停
  • 情绪龙头 [标的] 的分时走势

七、风险提示

[3-5条核心风险,简洁直接]


---

## 质量标准

- **每个看涨/看跌结论**必须有:前提 → 推导 → 数据 → 崩塌预案,缺一不可
- **数据引用**:必须标注来源和时间,若为推断需注明"基于近期趋势"
- **图表**:至少包含1个 Mermaid flowchart(逻辑推演)+ 1个 ASCII 矩阵/表格
- **看涨/看跌各至少2个板块或标的**,每个深度分析,不能只列标题
- **语言**:中文,专业但通俗,散户可读,机构可信
- **文件命名**:`市场开局分析_YYYYMMDD.md`(用下一开市日期)

---

## 特殊场景处理

### 节假日后开市
- 搜索节假日期间全球市场变化(美股、港股、商品)
- 额外分析:资金回流节奏、假期效应、节后情绪修复
- 特别标注:`【节后开市专项】`

### 重大事件前夕(央行议息、重要数据发布)
- 加入"事件前后情景分析"模块
- 分析市场定价是否已充分反映预期
- 标注博弈窗口期

### 数据不足时
- 明确标注`⚠️ 数据受限,以下为逻辑推演`
- 基于最近可知数据进行推演
- 降低确定性评级,扩大崩塌预案覆盖

---

## 输出检查清单

完成报告前,自检:
- [ ] 有宏观环境快照(表格/图)
- [ ] 有整体逻辑推演 Mermaid 图
- [ ] 看涨至少2个标的,每个有完整四段(前提/推导/数据/崩塌)
- [ ] 看跌至少2个标的,同上
- [ ] 有不确定性矩阵图
- [ ] 有开盘观察清单(可操作)
- [ ] 文件已保存到 markdown/ 目录

### Step 3.5: 补充确认(非阻塞,可选)

**默认直接生成报告**——基于抓取数据自动分析,找出可能的涨跌行业/标的。

**如果用户有明确偏好,可补充确认以下内容:**
1. **重点关注板块/标的**:是否需优先分析特定行业或个股?
2. **风险偏好**:保守(偏防御)/平衡/积极(偏进攻)是否影响分析侧重点?
3. **重大事件**:是否有特定事件(利率决议/财报/政策)需重点分析?

> 此步骤为**可选补充**,不影响默认分析流程。用户未回复时,按自动分析结果输出。

---

© digoal, GPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/market-opening-analyst of digoal/blog.

  • SKILL.md
  • SKILL.md.bak.20260529-1
  • test-prompts.json

Open the folder on GitHubat commit ad6fcb7

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Questions about Market Opening Analyst

What does Market Opening Analyst do?

分析下一次开市可能引爆上涨或下跌的行业与标的,输出图文并茂的 Markdown 开市预判报告。触发条件:用户提到"开市分析"、"下次开市"、"明天开盘"、"下周开盘"、"开盘预判"、"市场开局"、"开盘会怎样"、"哪些板块会涨"、"哪些股会跌"、"下一个交易日"、"复盘预判"、"节后开市"、"利好利空分析",或希望对下一个交易日进行前瞻性分析。即使用户只说"明天市场怎么样"或"帮我分析一下开盘情…. Market Opening Analyst is an agent skill from digoal/blog.

When should I use Market Opening Analyst?

Market Opening Analyst fits situations like: tasks that involve Markdown.

How do I install Market Opening Analyst in Claude Code?

Run `npx skills add digoal/blog --skill market-opening-analyst -a claude-code`. Or copy the skill folder (skills/market-opening-analyst in digoal/blog) into .claude/skills/market-opening-analyst in your project. Claude Code loads it when a task matches its description.

How do I install Market Opening Analyst in Codex?

Run `npx skills add digoal/blog --skill market-opening-analyst -a codex`. Or copy the skill folder (skills/market-opening-analyst in digoal/blog) into .agents/skills/market-opening-analyst in your project. Codex loads it when a task matches its description.

Can I use Market Opening Analyst in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add digoal/blog --skill market-opening-analyst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/market-opening-analyst, .gemini/skills/market-opening-analyst, .github/skills/market-opening-analyst and .opencode/skills/market-opening-analyst in your project.

What does Market Opening Analyst need to run?

SKILL.md names no scripts, command-line tools or credentials: Market Opening Analyst is instructions for the agent only.

Does Market Opening Analyst access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Market Opening Analyst safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Market Opening Analyst use?

Market Opening Analyst is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Market Opening Analyst use?

About 871 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Market Opening Analyst?

Skills that share tags, products or a category with Market Opening Analyst: Markdown Article Formatter (JimLiu/baoyu-skills, 27k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and Crossposting (wasp-lang/wasp, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Market Opening Analyst?

digoal (a GitHub user) maintains it in digoal/blog, which has 8,588 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.

Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.