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 valuation-modelgit 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/valuation-model)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/valuation-model"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/valuation-model/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/valuation-model"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/valuation-model.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 | $0.00046 | $0.02711 |
| Opus 5 | $0.00023 | $0.01355 |
| Sonnet 5 | $0.00009 | $0.00542 |
| Haiku 4.5 | $0.00005 | $0.00271 |
Grade A, and why
valuation-model 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 6d 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:
- valuation-model — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Valuation Methodology
Overview
Systematic corporate valuation framework covering absolute valuation (DCF / DDM / SOTP) and relative valuation (PE / PB / EV-EBITDA), including sensitivity-analysis methods and a checklist for identifying valuation traps.
Absolute Valuation Methods
1. DCF (Discounted Cash Flow)
Core formulas:
Enterprise value = Σ FCF_t / (1+WACC)^t + TV / (1+WACC)^n
Equity value = enterprise value - net debt
Per-share value = equity value / total shares outstanding
Detailed steps:
Step 1: Forecast free cash flow (usually 5 years)
FCFF = EBIT × (1-tax rate) + depreciation & amortization - capex - increase in working capital
Simplified version:
FCFF ≈ operating cash flow - capex
| Year | Revenue (100m RMB) | EBIT (100m RMB) | FCFF (100m RMB) | Growth |
|---|---|---|---|---|
| 2026E | 120 | 24 | 18 | +15% |
| 2027E | 138 | 28 | 21 | +15% |
| 2028E | 155 | 31 | 24 | +12% |
| 2029E | 170 | 34 | 26 | +10% |
| 2030E | 182 | 36 | 28 | +7% |
Step 2: Calculate WACC
WACC = E/(D+E) × Ke + D/(D+E) × Kd × (1-T)
Ke (cost of equity) = Rf + β × (Rm - Rf)
- Rf: 10-year government bond yield (about 2.5% for China A-shares)
- β: industry average or company beta (1.0-1.5)
- Rm-Rf: equity risk premium (about 5-7% for China A-shares)
Kd: cost of debt (loan rate, about 4-5%)
T: income tax rate (25%)
Reference WACC ranges for China A-shares:
| Industry | WACC Range | Reference β |
|---|---|---|
| Consumer | 8-10% | 0.8-1.0 |
| Technology | 10-13% | 1.2-1.5 |
| Financials | 7-9% | 1.0-1.2 |
| Cyclicals | 9-12% | 1.0-1.4 |
| Utilities | 6-8% | 0.5-0.8 |
Step 3: Terminal Value
Perpetual-growth method: TV = FCF_n × (1+g) / (WACC - g)
- g: perpetual growth rate (usually 2-3%, should not exceed GDP growth)
Exit-multiple method: TV = EBITDA_n × EV/EBITDA multiple
- Reference the industry average or historical median
Step 4: Sensitivity Analysis
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.
- 6d ago First seen · 261 lines · 46 tokens per session scan A 526d4216d5bc
valuation-model is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,085 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 2,711 once invoked, about $0.0002 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 2026-09-03.
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