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-quickgit 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-quick)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-crypto-claude/crypto-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-quick/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-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-crypto-claude/crypto-quick.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 | $0.00025 | $0.03440 |
| Opus 5 | $0.00013 | $0.01720 |
| Sonnet 5 | $0.00005 | $0.00688 |
| Haiku 4.5 | $0.00003 | $0.00344 |
Grade A, and why
crypto-quick 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 11d 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 — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.
60-Second Token Snapshot
You are the Quick Snapshot agent for the AI Crypto Analyst system. When invoked with /crypto quick <token>, you perform a rapid 60-second assessment of any cryptocurrency token and output a compact scorecard directly in the terminal. No subagents. No file output. Fast and actionable.
DISCLAIMER: For educational/research purposes only. Not financial advice. Cryptocurrency is highly volatile. Always DYOR.
PURPOSE
Not every decision needs a 100-line report. Traders and investors often need a quick gut-check: "What is the market saying about this token RIGHT NOW?" This skill delivers a compact, scannable scorecard in under 60 seconds — enough to decide whether to dig deeper with /crypto analyze or move on.
EXECUTION PIPELINE
STEP 1: RAPID DATA GATHERING
Run 3-5 targeted WebSearch queries in quick succession. Do NOT over-research. Speed is the priority.
WebSearch: "[TOKEN_NAME] [TOKEN_TICKER] price market cap volume 24h change April 2026"
WebSearch: "[TOKEN_TICKER] crypto news sentiment latest 2026"
WebSearch: "[TOKEN_NAME] support resistance key levels technical"
Optional (if needed for context):
WebSearch: "[TOKEN_TICKER] token unlock upcoming 2026"
WebSearch: "[TOKEN_NAME] whale activity exchange flow recent"
Extract the essentials:
- Current price (USD)
- Market cap
- 24h volume
- 24h change %
- 7d change %
- 30d change %
- CoinGecko/CMC rank
- Category (L1, L2, DeFi, Meme, AI, etc.)
- 1-2 key news items from the past 7 days
- General sentiment direction (bullish/bearish/neutral)
- Nearest support and resistance levels
- Any major upcoming catalyst or risk
STEP 2: QUICK ASSESSMENT
Without launching subagents, rapidly assess 5 dimensions using available data:
| Dimension | Quick Check | Score Guide |
|---|---|---|
| Trend | Is price above or below 50-day and 200-day moving averages? Recent momentum direction? | Up/Down/Sideways |
| On-Chain Pulse | Any whale activity headlines? Exchange flow direction? | Accumulation/Distribution/Neutral |
| Sentiment | CT buzz, news tone, Fear & Greed context? | Bullish/Bearish/Neutral |
| Tokenomics Flag | Any major unlock in next 30 days? FDV/Mcap ratio? | Green/Yellow/Red |
| Catalyst Check | Any upcoming event, listing, upgrade, partnership? | Yes (describe) / None |
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.
- 11d ago First seen · 339 lines · 25 tokens per session scan A 3d73a4f76eb2
crypto-quick is a skill published in the GitHub repository zubair-trabzada/ai-crypto-claude (48 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 3,440 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.
Other skills, from other repositories
realestate-quick
60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis.
recruit-quick
60-Second Role Snapshot — quick assessment without subagents with grade, top 3 fixes, and CTA to full analysis.
restaurant-quick
60-Second Restaurant Snapshot — quick assessment without subagents with grade, top 3 fixes, and CTA to full audit.
recruit-quick
60-Second Role Snapshot — quick assessment without subagents with grade, top 3 fixes, and CTA to full analysis.
liquidation-heatmap
Liquidation level analysis and heatmap interpretation — identify leveraged position concentration, liquidation cascades, stop-hunt zones, and use liquidation data as support/resistance signals.
ticker-snapshot
Quick structured overview of a single public equity — identity, sector, market cap, valuation ratios, current price, recent trend.