Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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 HKUDS/Vibe-Trading --skill fundamental-filtergit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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/hkuds/vibe-trading/fundamental-filter)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/fundamental-filter"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/fundamental-filter/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/hkuds/vibe-trading/fundamental-filter"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/fundamental-filter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00059 | $0.01815 |
| Opus 5 | $0.00030 | $0.00907 |
| Sonnet 5 | $0.00012 | $0.00363 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
fundamental-filter 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- fundamental-filter — 100% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fundamental Factor Screening
Purpose
Filter stocks using fundamental financial data (PE/PB/ROE, etc.) to build value or growth screen signals for backtesting. Supports multiple markets with different data sources.
Market Support
| Market | Data Source | Method | Supported Metrics |
|---|---|---|---|
| A-shares | tushare daily_basic |
extra_fields in config.json |
pe, pb, pe_ttm, ps_ttm, dv_ttm, total_mv, circ_mv, roe |
| A-shares | Tushare statements | fundamental_fields in config.json |
income, balancesheet, cashflow, fina_indicator fields |
| US stocks | yfinance Ticker.info |
Direct API call | trailingPE, forwardPE, priceToBook, returnOnEquity, marketCap, dividendYield |
| HK stocks | yfinance Ticker.info |
Direct API call | trailingPE, priceToBook, returnOnEquity, marketCap |
Signal Logic
Value Filter (Default)
- PE < pe_max AND PE > 0 (exclude loss-making stocks)
- PB < pb_max
- ROE > roe_min
- All conditions met → long (1), otherwise → flat (0)
Growth Filter (Optional)
- PE_TTM within reasonable range (0 < PE_TTM < pe_ttm_max)
- ROE > roe_min (profitability floor)
- Market cap > mv_min (exclude micro-caps)
A-Share Usage (tushare)
config.json
{
"source": "tushare",
"codes": ["000001.SZ", "600036.SH", "000858.SZ"],
"start_date": "2023-01-01",
"end_date": "2024-12-31",
"extra_fields": ["pe", "pb", "pe_ttm", "roe", "total_mv"],
"initial_cash": 1000000,
"commission": 0.001
}
The extra_fields columns are automatically merged into the daily DataFrame by the DataLoader.
A-Share Statement Pre-Filter
Use fundamental_fields when the strategy needs PIT-safe financial statement data instead of daily valuation fields:
{
"source": "tushare",
"codes": ["000001.SZ", "600036.SH", "000858.SZ"],
"start_date": "2023-01-01",
"end_date": "2024-12-31",
"fundamental_fields": {
"income": ["total_revenue", "n_income"],
"balancesheet": ["total_hldr_eqy_exc_min_int"],
"fina_indicator": ["roe", "debt_to_assets"]
},
"initial_cash": 1000000,
"commission": 0.001
}
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.
- 3d ago Changed · +1 lines 89579775a9f3
- 11d ago First seen · 176 lines · 59 tokens per session scan A 056da8585111
fundamental-filter is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,815 once invoked, about $0.0003 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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