Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Yourdaylight/stock_datasourcenpx agentmods add skills/yourdaylight/stock_datasource/stock-data-assistantWrote 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-data-assistant)<a href="https://agentmods.dev/skills/yourdaylight/stock_datasource/stock-data-assistant"><img src="https://agentmods.dev/badge/skills/yourdaylight/stock_datasource/stock-data-assistant/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/yourdaylight/stock_datasource/stock-data-assistant"><img src="https://agentmods.dev/badge/skills/yourdaylight/stock_datasource/stock-data-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 115 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 192 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 122 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00129 | $0.02090 |
| Opus 5.5 | $0.00052 | $0.00836 |
| Sonnet 5.5 | $0.00026 | $0.00418 |
| Haiku 4.5 | $0.00013 | $0.00209 |
Grade A, and why
stock-data-assistant 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.
How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Data Assistant（股票数据统一助手）
整合 历史数据查询、实时行情搜索 和 微信联动 三大能力的统一 Skill。DeepSeek Harness 接入见仓库 docs/DEEPSEEK_HARNESS.md（stdio MCP，不要使用 8001/messages）。
架构总览
┌─────────────┐ ┌──────────────┐ ┌─────────────────┐
│ 微信用户 │────▶│ picoclaw │────▶│ stock-mcp (8001) │
│ (WeChat) │ │ (LLM Gateway)│ │ 历史数据查询 │
└─────────────┘ │ port:18790 │ ├─────────────────┤
│ 微信 Channel │ │ WS (8765) │
┌─────────────┐ │ │────▶│ 实时行情推送 │
│ Web 前端 │────▶│ MCP Client │ └─────────────────┘
│ (18080) │ └──────────────┘
└─────────────┘
核心能力
| 能力 | 协议 | 端口 | 说明 |
|---|---|---|---|
| 历史数据查询 | MCP (streamable-http) | 8001 | K线/财务/指数/ETF 等 |
| 实时行情推送 | WebSocket | 8765 | A股/港股/ETF 逐笔 |
| 微信交互 | picoclaw WeChat Channel | — | 自然语言 → MCP 工具调用 |
快速开始
一键启动
bash skills/stock-data-assistant/start_wechat_bridge.sh
该命令会依次完成：
- 检查/下载 picoclaw — 自动检测系统架构，从 GitHub Releases 下载
- 生成配置 — 从
.env读取 LLM 配置，生成picoclaw.yaml - 启动 picoclaw — 启动 Gateway (18790) + 微信 Channel
- 启动实时订阅 — 启动 WebSocket 推送服务 (8765)
微信登录
# 显示微信登录二维码（扫码后即绑定）
.local/bin/picoclaw auth weixin
# 或者使用完整路径
./.local/bin/picoclaw auth weixin
扫码成功后，在微信中直接发消息即可操作股票数据。
微信对话示例
📱 你: 查一下贵州茅台最近的日K线
🤖 AI: 正在为您查询贵州茅台(600519.SH)的日线数据...
📱 你: 腾讯控股现在价格多少？
🤖 AI: 腾讯控股(00700.HK) 当前价 XXX.XX 港元，涨幅 X.XX%
📱 你: 监控 00700.HK 涨跌超过2%就通知我
🤖 AI: 已设置涨跌幅告警，触发条件：±2.00%
📱 你: 列出今天涨幅最大的10只A股
🤖 AI: 正在筛选今日涨幅榜 Top 10...
手动分步操作
Step 1: 安装 picoclaw
bash skills/stock-data-assistant/setup_picoclaw.sh
# 或指定版本
bash skills/stock-data-assistant/setup_picoclaw.sh v0.2.5
Step 2: 生成 picoclaw 配置
python3 skills/stock-data-assistant/generate_picoclaw_config.py
# 自定义参数
python3 skills/stock-data-assistant/generate_picoclaw_config.py \
--mcp-token sk-your-token-here \
--output ./my-config.yaml
Step 3: 启动 picoclaw
What ships with it
4 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.
- 1mo ago Changed 5dae3e350965
- 2mo ago First seen · 215 lines · 129 tokens per session scan A efd17d4735e4
stock-data-assistant is a skill published in the GitHub repository Yourdaylight/stock_datasource (193 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 2,090 once invoked, about $0.0005 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 2026-08-30.
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