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 onchain-analysisgit 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/onchain-analysis)<a href="https://agentmods.dev/skills/skloxo/tidetrading/onchain-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/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/skloxo/tidetrading/onchain-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/onchain-analysis.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 | $0.00043 | $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 9d 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 onchain-analysis — 0 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 — 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.
- 9d ago First seen · 254 lines · 43 tokens per session scan A 5cfc1380a390
onchain-analysis is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed 2d ago), 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. It is 100% identical to onchain-analysis, differing in 0 lines, and is treated as a copy.
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