Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/niuheilong/stock-mcp-server/stock-monitor)<a href="https://agentmods.dev/skills/niuheilong/stock-mcp-server/stock-monitor"><img src="https://agentmods.dev/badge/skills/niuheilong/stock-mcp-server/stock-monitor/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/niuheilong/stock-mcp-server/stock-monitor"><img src="https://agentmods.dev/badge/skills/niuheilong/stock-mcp-server/stock-monitor.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 | $0.00000 | $0.00488 |
| Opus 5 | $0.00000 | $0.00244 |
| Sonnet 5 | $0.00000 | $0.00098 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
stock-monitor scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:8000/stock/sh600410 What it actually says
stock-monitor - 青龙股票监控
青龙股票分析与监控系统 - 实时行情、技术分析、舆情情绪分析
功能
- 实时A股股票数据查询
- 技术分析 (MACD/KDJ/RSI)
- 舆情情绪分析
- 青龙综合评分
- 自选股批量监控
安装
# 进入项目目录
cd ~/projects/stock-mcp-server
# 安装依赖
pip install -r requirements.txt
# 启动服务
python server.py
使用
启动青龙服务
cd /Users/laoniu/.openclaw/workspace/stock-mcp-server
python server.py
API调用示例
# 获取单只股票分析
curl http://localhost:8000/stock/sh600410
# 获取技术分析
curl http://localhost:8000/stock/sh600410/technical
# 获取舆情情绪分析
curl http://localhost:8000/stock/sh600410/sentiment
# 批量分析所有自选股
curl http://localhost:8000/batch/analysis
自选股列表
| 代码 | 名称 |
|---|---|
| sh600410 | 华胜天成 |
| sh600620 | 天宸股份 |
| sh603986 | 兆易创新 |
| sh688525 | 佰维存储 |
| sz002261 | 拓维信息 |
| sz300428 | 立中集团 |
| sh688629 | 华丰科技 |
青龙评分体系
- 技术面: 30% (MACD/KDJ/RSI)
- 情绪面: 40% (新闻+社交+成交量)
- 基本面: 30% (PE/PB/涨跌幅)
评分等级:
- 80-100: 强烈推荐
- 60-79: 推荐
- 40-59: 中性
- 20-39: 谨慎
- 0-19: 回避
版本
v4.0.0 - 新增舆情情绪分析模块
作者
牛黑龙
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.
- 12d ago First seen · 82 lines · 0 tokens per session scan A 51b6db9ae9ce
stock-monitor is a skill published in the GitHub repository niuheilong/stock-mcp-server (4 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 488 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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