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chjm-ai/stock-daily-analysis-skill
LLM驱动的每日股票分析系统 for OpenClaw
History
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SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
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Heat
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Individual skills in this repository
How it works
stock-daily-analysis
When your agent uses it
LLM驱动的每日股票分析系统。支持A股/港股/美股自选股智能分析,生成决策仪表盘和大盘复盘报告。提供技术面分析(均线、MACD、RSI、乖离率)、趋势判断、买入信号评分。可与market-data skill集成获取更稳定的ETF数据。触发词:股票分析、分析股票、每日分析、技术面分析。
What it loads into context
Frontmatter
106 tokensAlways available to the agent
SKILL.md
718 tokensWhen the skill is activated
Reference documents
3,031 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 功能特性
- 快速使用
- 配置
- 返回数据
- 项目信息
Scripts executed separately
scripts/ai_analyzer.pyscripts/analyzer.pyscripts/data_fetcher.pyscripts/market_data_bridge.pyscripts/notifier.pyscripts/run.shscripts/setup.shscripts/trend_analyzer.pyscripts/update.sh
Files
.gitignoreasset435 bytesLICENSEasset1,067 bytesOPEN_SOURCE_REVIEW.mddoc4,941 bytesREADME.mddoc5,431 bytesSKILL.mdcore2,414 bytesSKILL.mdcore2,414 bytesSKILL.mdcore2,414 bytesSKILL.mdcore2,414 bytesconfig.example.jsonasset553 bytesrequirements.txtdoc95 bytesscripts/ai_analyzer.pyruns7,786 bytesscripts/analyzer.pyruns4,579 bytesscripts/data_fetcher.pyruns11,519 bytesscripts/market_data_bridge.pyruns6,755 bytesscripts/notifier.pyruns6,802 bytesscripts/run.shruns824 bytesscripts/setup.shruns1,260 bytesscripts/trend_analyzer.pyruns22,740 bytesscripts/update.shruns653 bytes
Read SKILL.md
# Daily Stock Analysis for OpenClaw
基于 LLM 的 A/H/美股智能分析 Skill,提供技术面分析和 AI 决策建议。
## 功能特性
1. **多市场支持** - A股、港股、美股
2. **技术面分析** - MA5/10/20、MACD、RSI、乖离率
3. **趋势交易** - 多头排列判断、买入信号评分
4. **AI 决策** - DeepSeek/Gemini/OpenAI 深度分析
5. **数据源集成** - 可选 market-data skill
## 快速使用
View the complete source on GitHubSkills included
- stock-daily-analysis
Repository facts
- License
- MIT
- Created
- Feb 4, 2026
- Last pushed
- Feb 4, 2026
- Forks
- 68
- Open issues
- 3
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 3 notes
SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedSKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedSKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 32 network referencesin 5 files: README.md:7 SKILL.md:42 scripts/setup.sh:7 and 2 more
- No hidden or obfuscated text
- No instruction overrides
- 9 executable scriptsin 9 files: scripts/ai_analyzer.py:1 scripts/analyzer.py:1 scripts/data_fetcher.py:1 and 6 more
- 17 references to secretsin 7 files: scripts/ai_analyzer.py:25 scripts/run.sh:22 README.md:86 and 4 more
- No requests to vote in Hot
Show all 58 signals by file
README.md
- Network accessline 7
本项目是 [ZhuLinsen/daily_stock_analysis](https://github.com/ZhuLinsen/daily_stock_analysis) 的 **OpenClaw Skill 适配版**。 - Network accessline 20
cd ~/workspace/skills/ git clone https://github.com/yourusername/stock-daily-analysis.git - Network accessline 21
git clone https://github.com/yourusername/stock-daily-analysis.git - Network accessline 54
| 技术面分析 | ✅ | MA/MACD/RSI/乖离率 | | AI 决策建议 | ✅ | DeepSeek/Gemini | | 市场数据源集成 | ✅ | 可选 [market-data skill](https://github.com/chjm-ai/openclaw-market-data) | - Network accessline 56
| 市场数据源集成 | ✅ | 可选 [market-data skill](https://github.com/chjm-ai/openclaw-market-data) | - Network accessline 85
[Credential-related source omitted] - Network accessline 86
[Credential-related source omitted] - Access to secretsline 86
[Credential-related source omitted] - Network accessline 87
"base_url": "https://api.deepseek.com/v1", - Access to secretsline 98
[Credential-related source omitted] - Network accessline 127
如果你的 OpenClaw 已安装 [market-data skill](https://github.com/chjm-ai/openclaw-market-data),本项目可自动调用其数据源: - Network accessline 140
cd ~/workspace/skills/ git clone https://github.com/chjm-ai/openclaw-market-data.git market-data - Network accessline 141
git clone https://github.com/chjm-ai/openclaw-market-data.git market-data - Network accessline 214
- 数据来源:[akshare](https://github.com/akfamily/akshare) - Network accessline 215
- 灵感来源:[ZhuLinsen/daily_stock_analysis](https://github.com/ZhuLinsen/daily_stock_analysis) - Network accessline 216
- 平台支持:[OpenClaw](https://openclaw.ai)
SKILL.md
- Network accessline 42
[Credential-related source omitted] - Network accessline 43
[Credential-related source omitted] - Access to secretsline 43
[Credential-related source omitted] - Network accessline 44
"base_url": "https://api.deepseek.com/v1", - Network accessline 87
- **开源协议**: MIT - **项目地址**: https://github.com/yourusername/stock-daily-analysis - Network accessline 88
- **项目地址**: https://github.com/yourusername/stock-daily-analysis - Network accessline 89
- **原项目**: https://github.com/ZhuLinsen/daily_stock_analysis
config.example.json
scripts/ai_analyzer.py
- Executable scriptline 1
Executable file - Access to secretsline 25
[Credential-related source omitted] - Network accessline 30
if self.provider == 'openai' and HAS_OPENAI: base_url = config.get('base_url', 'https://api.openai.com/v1') - Network accessline 31
base_url = config.get('base_url', 'https://api.openai.com/v1') - Access to secretsline 32
[Credential-related source omitted] - Access to secretsline 48
[Credential-related source omitted] - Network accessline 68
url = f"https://generativelanguage.googleapis.com/v1beta/models/{self.model}:generateContent" - Access to secretsline 70
[Credential-related source omitted] - Access to secretsline 82
[Credential-related source omitted] - Network accessline 86
response = requests.post(url, headers=headers, params=params, json=data, timeout=30, proxies=proxies)
scripts/analyzer.py
- Executable scriptline 1
Executable file
scripts/data_fetcher.py
- Executable scriptline 1
Executable file
scripts/market_data_bridge.py
- Executable scriptline 1
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scripts/notifier.py
- Executable scriptline 1
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scripts/run.sh
scripts/setup.sh
- Executable scriptline 1
#!/bin/bash - Network accessline 7
PROJECT_DIR="$SCRIPT_DIR/daily_stock_analysis" VENV_DIR="$PROJECT_DIR/.venv" REPO_URL="https://github.com/ZhuLinsen/daily_stock_analysis.git" - Network accessline 9
REPO_URL="https://github.com/ZhuLinsen/daily_stock_analysis.git" - Network accessline 28
else echo "→ 克隆项目仓库..." git clone "$REPO_URL" "$PROJECT_DIR" - Network accessline 29
echo "→ 克隆项目仓库..." git clone "$REPO_URL" "$PROJECT_DIR" cd "$PROJECT_DIR" - Network accessline 30
git clone "$REPO_URL" "$PROJECT_DIR" - Access to secretsline 49
[Credential-related source omitted] - Access to secretsline 50
[Credential-related source omitted]
scripts/trend_analyzer.py
- Executable scriptline 1
Executable file
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 2 facts
- Contacts api.openai.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/ai_analyzer.py:31High confidence
- Contacts generativelanguage.googleapis.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/ai_analyzer.py:68High confidence
Signal confidence: 54 facts
- Network access in prose of documentationREADME.md:7Low confidence
- Network access in code of documentationREADME.md:20Low confidence
- Network access in code of documentationREADME.md:21Low confidence
- Network access in prose of documentationREADME.md:54Low confidence
- Network access in prose of documentationREADME.md:56Low confidence
- Network access in code of documentationREADME.md:85Low confidence
- Network access in code of documentationREADME.md:86Low confidence
- Access to secrets in code of documentationREADME.md:86Low confidence
- Network access in code of documentationREADME.md:87Low confidence
- Access to secrets in code of documentationREADME.md:98Low confidence
- Network access in prose of documentationREADME.md:127Low confidence
- Network access in code of documentationREADME.md:140Low confidence
- Network access in code of documentationREADME.md:141Low confidence
- Network access in prose of documentationREADME.md:214Low confidence
- Network access in prose of documentationREADME.md:215Low confidence
- Network access in prose of documentationREADME.md:216Low confidence
- Network access in code of the SKILL.mdSKILL.md:42High confidence
- Network access in code of the SKILL.mdSKILL.md:43High confidence
- Access to secrets in code of the SKILL.mdSKILL.md:43High confidence
- Network access in code of the SKILL.mdSKILL.md:44High confidence
- Network access in prose of the SKILL.mdSKILL.md:87Low confidence
- Network access in prose of the SKILL.mdSKILL.md:88Low confidence
- Network access in prose of the SKILL.mdSKILL.md:89Low confidence
- Executable script in a comment of a file that runsscripts/ai_analyzer.py:1Low confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuescripts/ai_analyzer.py:25Low confidence
- Network access in code of a file that runsscripts/ai_analyzer.py:30High confidence
- Network access in code of a file that runsscripts/ai_analyzer.py:31High confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuescripts/ai_analyzer.py:32Low confidence
- Access to secrets in code of a file that runsscripts/ai_analyzer.py:48High confidence
- Network access in code of a file that runsscripts/ai_analyzer.py:68High confidence
- Access to secrets in code of a file that runsscripts/ai_analyzer.py:70High confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuescripts/ai_analyzer.py:82Low confidence
- Network access in code of a file that runsscripts/ai_analyzer.py:86High confidence
- Executable script in a comment of a file that runsscripts/analyzer.py:1Low confidence
- Executable script in a comment of a file that runsscripts/data_fetcher.py:1Low confidence
- Executable script in a comment of a file that runsscripts/market_data_bridge.py:1Low confidence
- Executable script in a comment of a file that runsscripts/notifier.py:1Low confidence
- Executable script in code of a file that runsscripts/run.sh:1High confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuescripts/run.sh:22Low confidence
- Access to secrets in code of a file that runsscripts/run.sh:23High confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuescripts/run.sh:24Low confidence
- Access to secrets in code of a file that runsscripts/run.sh:25High confidence
- Executable script in code of a file that runsscripts/setup.sh:1High confidence
- Network access in code of a file that runsscripts/setup.sh:7High confidence
- Network access in code of a file that runsscripts/setup.sh:9High confidence
- Network access in code of a file that runsscripts/setup.sh:28High confidence
- Network access in code of a file that runsscripts/setup.sh:29High confidence
- Network access in code of a file that runsscripts/setup.sh:30High confidence
- Access to secrets in code of a file that runsscripts/setup.sh:49High confidence
- Access to secrets in code of a file that runsscripts/setup.sh:50High confidence
and 4 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.