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 Yourdaylight/stock_datasource --skill stock-rt-subscribegit clone --depth 1 https://github.com/Yourdaylight/stock_datasourceWrote 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/yourdaylight/stock_datasource/stock-rt-subscribe)<a href="https://agentmods.dev/skills/yourdaylight/stock_datasource/stock-rt-subscribe"><img src="https://agentmods.dev/badge/skills/yourdaylight/stock_datasource/stock-rt-subscribe.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.00744 |
| Opus 5 | $0.00041 | $0.00372 |
| Sonnet 5 | $0.00016 | $0.00149 |
| Haiku 4.5 | $0.00008 | $0.00074 |
Grade A, and why
stock-rt-subscribe 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 8d 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
实时股票数据订阅（WebSocket）
通过 WebSocket 长连接 实时接收 A 股、港股、ETF 行情数据，每 3~5 秒更新一次。
架构
Receiver Node (HTTP API) → scripts/subscribe_client.py → ws://localhost:8765 → 客户端
环境准备
pip install requests websockets
export STOCK_RT_NODE_URL="http://your-node:9100"
export STOCK_RT_TOKEN="your-token" # 可选，有鉴权时设置
快速开始
一次性查询（验证连通性）
python3 scripts/subscribe_client.py --symbols 00700.HK 600519.SH --once
启动 WebSocket 推送服务
# 基础订阅
python3 scripts/subscribe_client.py --symbols 00700.HK 09988.HK 600519.SH
# 指定节点和端口
python3 scripts/subscribe_client.py --node-url http://your-node:9100 --ws-port 8765 --symbols 00700.HK
# 涨跌幅告警（±2% 触发）
python3 scripts/subscribe_client.py --symbols 00700.HK --alert-pct 2.0
# 输出到文件
python3 scripts/subscribe_client.py --symbols 00700.HK --output ticks.jsonl
编程方式启动
from scripts.subscribe_client import StockWSServer
server = StockWSServer(
node_url="http://your-node:9100",
symbols=["00700.HK", "09988.HK"],
poll_interval=3.0,
)
server.add_callback(lambda sym, tick: print(f"{tick.name}: {tick.close}"))
server.run(port=8765)
AI Agent 集成
from scripts.ai_agent_integration import StockDataAgent
agent = StockDataAgent()
agent.install() # 检查依赖、验证节点连通性
# 完整工作流（订阅 + 告警监控 60 秒）
import asyncio
asyncio.run(agent.complete_workflow(['00700.HK', '600519.SH'], duration=60))
告警策略
告警规则配置见 references/strategy_config.json，内置策略：
limit_up_down：涨停/跌停监控big_move：大幅波动（≥ ±5%）vol_spike：成交量异动（≥ 近5日均量3倍）price_breakout：价格突破近20日高点
参考文档
- references/api.md：WebSocket 消息格式、数据字段说明、客户端连接示例（Python/JS/wscat）、动态订阅管理指令、排错指南
- references/strategy_config.json：告警策略完整配置
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 87 lines · 81 tokens per session scan A a5e52be0d510
stock-rt-subscribe is a skill published in the GitHub repository Yourdaylight/stock_datasource (184 stars, last pushed 3d ago), licensed MIT. It adds 81 tokens to every session and 744 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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