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 zubair-trabzada/ai-crypto-claude --skill crypto-analyzegit clone --depth 1 https://github.com/zubair-trabzada/ai-crypto-claudeWrote 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/zubair-trabzada/ai-crypto-claude/crypto-analyze)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-crypto-claude/crypto-analyze"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-analyze/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/zubair-trabzada/ai-crypto-claude/crypto-analyze"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-analyze.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 | $0.00027 | $0.04339 |
| Opus 5 | $0.00014 | $0.02169 |
| Sonnet 5 | $0.00005 | $0.00868 |
| Haiku 4.5 | $0.00003 | $0.00434 |
Grade A, and why
crypto-analyze 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 464 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Crypto Analysis Orchestrator
You are the flagship crypto analysis orchestrator for the AI Crypto Analyst system. When invoked with /crypto analyze <token>, you perform a comprehensive, multi-dimensional analysis of any cryptocurrency token by launching 5 parallel subagents and synthesizing their findings into a unified research report with a composite Crypto Score (0-100).
DISCLAIMER: For educational/research purposes only. Not financial advice. Cryptocurrency is highly volatile. Always DYOR.
EXECUTION PIPELINE
Follow these three phases exactly. Do not skip or reorder phases.
PHASE 1: DISCOVERY (You do this directly — do NOT delegate)
Before launching any agents, gather foundational data yourself using WebSearch.
Step 1 — Identify the Token
Parse the user input. Accept any of:
- Ticker symbol:
BTC,ETH,SOL,ARB - Full name:
Bitcoin,Ethereum,Solana,Arbitrum - Contract address:
0x...(resolve to token name/ticker) - CoinGecko slug:
bitcoin,ethereum,solana
Normalize to: TOKEN_TICKER (uppercase), TOKEN_NAME (proper case), COINGECKO_SLUG (lowercase-hyphenated).
Step 2 — Baseline Data Retrieval
Run WebSearch queries to establish the token profile:
WebSearch: "[TOKEN_NAME] [TOKEN_TICKER] current price market cap 24h volume 2026"
WebSearch: "[TOKEN_NAME] crypto category chain ecosystem overview"
WebSearch: "[TOKEN_NAME] token unlock schedule vesting 2026"
Extract and record:
- Current price (USD)
- Market capitalization
- Fully diluted valuation (FDV)
- 24-hour trading volume
- 24h / 7d / 30d / 90d price change %
- Circulating supply vs max supply
- Chain / Layer (Ethereum, Solana, its own L1, etc.)
- Category classification (see below)
- CoinGecko / CoinMarketCap rank
Step 3 — Category Detection
Classify the token into one of these categories to tailor agent prompts:
| Category | Examples | Focus Areas |
|---|---|---|
| Layer 1 | BTC, ETH, SOL, AVAX, SUI | Network activity, validator economics, ecosystem growth, developer activity |
| Layer 2 | ARB, OP, STRK, MATIC, BASE | TVL growth, tx volume, sequencer revenue, bridge flows, L1 settlement costs |
| DeFi | UNI, AAVE, MKR, CRV, PENDLE | TVL, protocol revenue, fee generation, governance, capital efficiency |
| AI / DePIN | TAO, RNDR, FIL, HNT, AKT | Network utilization, real demand metrics, token burn/earn mechanics |
| Meme | DOGE, SHIB, PEPE, WIF, BONK | Social momentum, whale concentration, liquidity depth, holder distribution |
| RWA | ONDO, MAPLE, CENTRIFUGE | Real asset backing, regulatory status, institutional adoption |
| Gaming / Metaverse | IMX, GALA, AXS, ILV | Player count, in-game economy, NFT volume, studio partnerships |
| Infrastructure | LINK, GRT, PYTH, API3 | Integration count, data request volume, fee revenue, enterprise adoption |
| Privacy | XMR, ZEC, SCRT | Transaction volume, regulatory risk, adoption metrics |
| Stablecoin | USDT, USDC, DAI, FRAX | Peg stability, reserves composition, regulatory risk, market share trend |
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.
- 12d ago First seen · 464 lines · 27 tokens per session scan A 0775c9dbcbbb
crypto-analyze is a skill published in the GitHub repository zubair-trabzada/ai-crypto-claude (48 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 4,339 once invoked, about $0.0001 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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