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 report-generategit 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/report-generate)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/report-generate"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/report-generate/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/report-generate"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/report-generate.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 | $0.00035 | $0.02813 |
| Opus 5.5 | $0.00014 | $0.01125 |
| Sonnet 5.5 | $0.00007 | $0.00563 |
| Haiku 4.5 | $0.00003 | $0.00281 |
Grade A, and why
report-generate 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- report-generate — 100% identical, 23 lines differ
How it starts
The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Professional Research Report Generation
Overview
Generate structured, professional-grade financial research reports. Follow the conventions used by securities firms and asset managers, and output complete Markdown reports that can be used directly for investment research reference.
Saving and Delivering a PDF
When the user requests a PDF, send the complete Markdown report to write_file
with a .pdf target (prefer artifacts/report.pdf under the active run directory).
The tool renders a real, paginated PDF without requiring system Pango/Cairo.
Check its returned status, path, and bytes_written; include the returned
download_url as a Markdown link labelled with the report's filename. The Web
chat downloads it with authentication and IM channels attach the generated PDF.
A successful write is evidence that the returned path exists; another path's
earlier rejection does not invalidate it. If rendering fails, report that tool
error instead of claiming the PDF was created. Do not write HTML or base64 data
as the content of a .pdf file.
Report Types and Structure
Type Classification
| Type | Length | Core Content | Trigger Scenario |
|---|---|---|---|
| Deep-dive stock report | 3000-5000 words | Company analysis + valuation + rating | "Analyze stock XX" |
| Industry research | 2000-4000 words | Industry structure + trend + recommended names | "How is sector XX?" |
| Strategy report | 1500-3000 words | Macro + strategy + allocation recommendation | "What is the market outlook?" |
| Backtest report | 1000-2000 words | Strategy performance + risk + improvement suggestions | After a backtest is completed |
| Flash comment / note | 500-1000 words | Event commentary + impact + action suggestion | "How should we view event XX?" |
Standard Structure Template
# [Report Title]
> **Rating**: Buy | **Target Price**: ¥XX | **Current Price**: ¥XX
> **Analyst**: Vibe-Trading | **Date**: 2026-03-28
## Summary
3-5 key points, each 1-2 sentences, covering the core conclusion.
Use explicit language such as bullish / bearish / neutral. Do not be vague.
## Core Views
### View 1: [One-line heading]
2-3 paragraphs of discussion, supported by data.
### View 2: [One-line heading]
2-3 paragraphs of discussion, supported by data.
### View 3: [One-line heading]
2-3 paragraphs of discussion, supported by data.
## Main Analysis
### [Section 1: for example Industry analysis / Company fundamentals / Strategy logic]
Detailed analysis...
### [Section 2: for example Financial analysis / Competitive landscape / Backtest results]
Detailed analysis...
### [Section 3: for example Valuation analysis / Catalysts / Risk-reward]
Detailed analysis...
## Data Appendix
Key data tables...
## Risk Warnings
1. [Risk 1]: specific description + trigger condition + impact level
2. [Risk 2]: ...
3. [Risk 3]: ...
## Investment Recommendation
Clear action recommendation, including direction, position size, and time horizon.
---
*Disclaimer: This report is generated by an AI quantitative system for research reference only and does not constitute investment advice.*
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 · +21 lines f33c64389e2e
- 2mo ago First seen · 262 lines · 35 tokens per session scan A 01d293cbe9dd
report-generate is a skill published in the GitHub repository HKUDS/Vibe-Trading (37,568 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 2,813 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
web-documents
Use before reading websites, reports, filings, spreadsheets, CSV files, PDFs, Word files, or ZIP archives from the web, and before doing math on the rows they contain.
options-trading
Use before researching, selecting, opening, modifying, or closing any option position, including single-leg options, vertical spreads, iron condors, butterflies, straddles, strangles, calendars, and other multi-leg structures. Also use when a broad trading mandate leads you to consider options even if the user did not…
research-data
Use before relying on BotSpot public macro, regulatory, Treasury, labor, economic, funding, positioning, or SEC document research tools in an investment decision, and whenever a market index such as the VIX is missing from the broker's price data.
hyperliquid
Use when backtesting, deploying, checking funding readiness, or debugging a Hyperliquid strategy through Superior Trade Unified API — writing Freqtrade configs and strategy code, running sweeps, checking managed-wallet balances, trading HIP-3 perps, or diagnosing a deployment that will not start or trade.
polymarket
Use when the user wants to trade, research, or backtest Polymarket prediction markets through Superior Trade — finding markets by slug or event URL, placing a single immediate market order, writing NautilusTrader strategies, running filled-data backtests, funding pUSD, or deploying and monitoring a live Polymarket…
backtesting
Use when running, interpreting, or designing backtests on Superior Trade — anything about backtest windows, trade-count thresholds, exit-reason mix, parameter sweeps, walk-forward validation, zero-trade diagnosis, compute-cost estimation, or "is this backtest result trustworthy?". Pair with the relevant strategy…