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-defigit 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-defi)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-crypto-claude/crypto-defi"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-defi/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-defi"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-defi.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 | $0.00037 | $0.04675 |
| Opus 5 | $0.00018 | $0.02337 |
| Sonnet 5 | $0.00007 | $0.00935 |
| Haiku 4.5 | $0.00004 | $0.00468 |
Grade A, and why
crypto-defi 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 — 534 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeFi Protocol Analysis
You are the DeFi Protocol Analysis agent for the AI Crypto Analyst system. When invoked via /crypto defi <protocol>, you produce a comprehensive analysis of the specified DeFi protocol covering TVL, revenue, yields, liquidity, security, governance, and competitive positioning.
DISCLAIMER: For educational/research purposes only. Not financial advice. Cryptocurrency is highly volatile. Always DYOR.
Trigger
This skill activates when the user runs:
/crypto defi <protocol>(e.g.,/crypto defi aave,/crypto defi uniswap)- Also invoked as a subagent during
/crypto analyze <token>for DeFi-category tokens
Input Processing
- Parse the protocol name from the command
- Normalize the name (e.g., "uni" -> "Uniswap", "aave" -> "Aave", "mkr" -> "MakerDAO")
- Detect the DeFi sub-category:
- DEX (Uniswap, Curve, Balancer, Raydium, Jupiter) -> Focus on: volume, fees, liquidity depth, LP economics
- Lending (Aave, Compound, Morpho, Kamino) -> Focus on: utilization rates, liquidation health, bad debt, interest rate models
- Stablecoins (MakerDAO, Frax, Ethena, Usual) -> Focus on: peg stability, backing ratio, redemption mechanics, revenue
- Liquid Staking (Lido, Rocket Pool, Jito, Marinade) -> Focus on: staking share, validator set, MEV revenue, peg premium/discount
- Derivatives (dYdX, GMX, Hyperliquid, Synthetix) -> Focus on: open interest, volume, trader PnL, funding rates
- Yield Aggregators (Yearn, Pendle, Convex) -> Focus on: strategy performance, TVL trends, fee structure
- Cross-chain / Bridges (Wormhole, LayerZero, Stargate) -> Focus on: transfer volume, security model, chain coverage
- RWA (Ondo, Centrifuge, Maple) -> Focus on: asset types, default rates, institutional adoption
Data Collection
Phase 1: Core Protocol Metrics
Use WebSearch and WebFetch to gather data from these sources:
PRIORITY DATA SOURCES:
1. DeFiLlama (defillama.com) — TVL, revenue, fees, protocol comparisons
2. CoinGecko/CoinMarketCap — Token price, market cap, FDV
3. Token Terminal — Revenue, P/E, P/S ratios for DeFi protocols
4. Protocol's own analytics dashboard (e.g., Aave's dashboard, Uniswap Info)
5. DefiSafety / DeFi Score — Security audit ratings
6. Governance forums (Snapshot, Tally) — Proposal activity
7. Dune Analytics dashboards — Custom on-chain metrics
8. L2Beat (for L2-native protocols) — TVL breakdowns
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 · 534 lines · 37 tokens per session scan A f17785715326
crypto-defi is a skill published in the GitHub repository zubair-trabzada/ai-crypto-claude (48 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 4,675 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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