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 skloxo/TideTrading --skill vnpy-exportgit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/vnpy-export)<a href="https://agentmods.dev/skills/skloxo/tidetrading/vnpy-export"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/vnpy-export/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/skloxo/tidetrading/vnpy-export"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/vnpy-export.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 | $0.00040 | $0.03005 |
| Opus 5.5 | $0.00016 | $0.01202 |
| Sonnet 5.5 | $0.00008 | $0.00601 |
| Haiku 4.5 | $0.00004 | $0.00300 |
Grade A, and why
vnpy-export 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.
This is a copy
100% identical to vnpy-export — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill translates a Vibe-Trading strategy into a vnpy CtaTemplate subclass .py file
that can be loaded directly into the vnpy CTA Strategy App for live trading or vnpy backtesting.
Output file: artifacts/vnpy_strategy/<StrategyName>Strategy.py (inside the run directory).
vnpy is the most widely-used open-source quant framework in mainland China (39k+ GitHub stars).
Use this skill when the user asks to export to vnpy, requests a /vnpy command, or wants to
run a Vibe-Trading strategy inside vnpy's CTA backtester or live trading engine.
Workflow: Export from Backtest Run
load_skill("vnpy-export")— read this guideread_file("config.json")— extract instrument, dates, parameters, intervalread_file("code/signal_engine.py")— understand the Python signal logic- Determine asset class from
config.json→ choose correct CtaTemplate convention (see below) - Translate signal logic to CtaTemplate using the reference tables
write_file("artifacts/vnpy_strategy/<StrategyName>Strategy.py")— save the output- Return the class in a code block with setup instructions
Workflow: Generate from Description
load_skill("vnpy-export")— read this guide- Write a CtaTemplate class from the user's strategy description
write_file("artifacts/vnpy_strategy/<StrategyName>Strategy.py")— save the output- Return the class with setup and usage instructions
Asset Class Conventions
vnpy uses the same CtaTemplate base class for all asset types, but parameter conventions differ:
| Asset Class | Instrument Example | vt_symbol Format |
Position Unit |
|---|---|---|---|
| A-share stock | Ping An Bank | 000001.SZSE |
shares (整手, min 100) |
| Futures | IF2406 | IF2406.CFFEX |
lots |
| Crypto | BTC/USDT | BTC/USDT.BINANCE |
coin units |
For stocks: use buy / sell only (no short selling unless margin account).
For futures / crypto: use all four directions — buy, sell, short, cover.
What ships with it
1 file 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 First seen · 321 lines · 40 tokens per session scan A de07e2f1cc1d
vnpy-export is a skill published in the GitHub repository skloxo/TideTrading (13 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 3,005 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to vnpy-export, differing in 4 lines, and is treated as a copy.
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