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 onchain-analysisgit 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/onchain-analysis)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/onchain-analysis"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/onchain-analysis/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/onchain-analysis"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/onchain-analysis.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 | $0.00043 | $0.02443 |
| Opus 5 | $0.00022 | $0.01222 |
| Sonnet 5 | $0.00009 | $0.00489 |
| Haiku 4.5 | $0.00004 | $0.00244 |
Grade A, and why
onchain-analysis 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 10d 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:
- onchain-analysis — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
On-Chain Data Analysis
Overview
Use transparent public blockchain data for analysis, covering network activity, whale-behavior tracking, DeFi liquidity analysis, and on-chain valuation metrics. This provides crypto investing with data dimensions unavailable in traditional finance.
Network Activity Metrics
Core Activity Indicators
| Metric | Meaning | Bullish Signal | Bearish Signal |
|---|---|---|---|
| Active addresses | Unique addresses interacting with the network each day | Sustained increase (network adoption rising) | Sustained decline |
| New addresses | Addresses appearing for the first time each day | Accelerating growth (new users entering) | Shrinkage |
| Transaction count | Number of on-chain transactions per day | Steady growth | Sharp decline |
| Transfer value | Total value transferred on-chain per day | Large-value transfer activity | Inactive |
| Activity / price ratio | Growth in active addresses vs growth in price | Activity growth outpaces price growth | Price rises but activity does not |
Activity Analysis Framework
Healthy bull market:
Price↑ + active addresses↑ + new addresses↑ = driven by real demand
Bubble signal:
Price↑ + active addresses↓ or flat = capital-driven, not user-driven
Bottoming signal:
Price↓ + active addresses bottom out and stabilize = speculators exit, real users remain
Historical Reference for BTC Active Addresses
| Phase | Active Addresses (daily avg) | BTC Price | Meaning |
|---|---|---|---|
| 2020 bear-to-bull transition | 0.8-1.0 million | $10k-$20k | Bottom stabilization |
| 2021 bull market | 1.0-1.3 million | $30k-$69k | Healthy growth |
| 2022 bear market | 0.8-0.9 million | $16k-$30k | Pulled back but did not collapse |
| 2024 bull market | 0.9-1.2 million | $40k-$100k | Institution-driven |
Whale Tracking
Whale Definition
| Tier | BTC Holdings | ETH Holdings | Estimated Count |
|---|---|---|---|
| Super whales | >10,000 BTC | >100,000 ETH | ~100 |
| Large whales | 1,000-10,000 BTC | 10,000-100,000 ETH | ~2,000 |
| Mid whales | 100-1,000 BTC | 1,000-10,000 ETH | ~15,000 |
| Small whales | 10-100 BTC | 100-1,000 ETH | ~150,000 |
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.
- 10d ago First seen · 254 lines · 43 tokens per session scan A 5cfc1380a390
onchain-analysis is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,085 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 2,443 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 2026-08-30.
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