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 OpenCMC/skills-for-ai-agents-by-CoinMarketCap --skill crypto-researchgit clone --depth 1 https://github.com/OpenCMC/skills-for-ai-agents-by-CoinMarketCapWrote 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/opencmc/skills-for-ai-agents-by-coinmarketcap/crypto-research)<a href="https://agentmods.dev/skills/opencmc/skills-for-ai-agents-by-coinmarketcap/crypto-research"><img src="https://agentmods.dev/badge/skills/opencmc/skills-for-ai-agents-by-coinmarketcap/crypto-research/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/opencmc/skills-for-ai-agents-by-coinmarketcap/crypto-research"><img src="https://agentmods.dev/badge/skills/opencmc/skills-for-ai-agents-by-coinmarketcap/crypto-research.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 | $0.00113 | $0.01597 |
| Opus 5.5 | $0.00045 | $0.00639 |
| Sonnet 5.5 | $0.00023 | $0.00319 |
| Haiku 4.5 | $0.00011 | $0.00160 |
Grade A, and why
crypto-research 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 1mo 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crypto Research Skill
Perform comprehensive due diligence on any cryptocurrency by systematically gathering and analyzing data from multiple CMC MCP tools.
Prerequisites
Before starting research, verify the CMC MCP tools are available. If tools fail or return connection errors, ask the user to set up the MCP connection:
{
"mcpServers": {
"cmc-mcp": {
"url": "https://mcp.coinmarketcap.com/mcp",
"headers": {
"X-CMC-MCP-API-KEY": "your-api-key"
}
}
}
}
Get your API key from https://pro.coinmarketcap.com/login
Core Principle
Thorough research requires looking at a token from multiple angles. Fetch all relevant data before forming conclusions. Surface both green flags and red flags.
Research Workflow
Step 1: Identify the Token
Call search_cryptos with the token name/symbol to get the CMC ID. If multiple results, clarify with the user which one they mean.
Step 2: Basic Information
Call get_crypto_info to get:
- Project description and category
- Launch date
- Website, social links, documentation
- Tags (DeFi, Layer 1, Meme coin, etc.)
Step 3: Market Data
Call get_crypto_quotes_latest to get:
- Current price and market cap
- 24h, 7d, 30d, 90d, 1y price changes
- Trading volume and volume change
- Circulating supply vs max supply
- Market cap rank
Step 4: Holder Analysis
Call get_crypto_metrics to get:
- Address distribution by holding value ($0-1k, $1k-100k, $100k+)
- Whale concentration (% held by top holders)
- Holder behavior (traders vs cruisers vs long-term holders)
Step 5: Technical Analysis
Call get_crypto_technical_analysis to get:
- Moving averages (7d, 30d, 200d SMA/EMA)
- RSI (oversold < 30, overbought > 70)
- MACD signal
- Fibonacci levels and pivot points
Step 6: Recent News
Call get_crypto_latest_news with limit 5-10 to get recent headlines and sentiment.
Step 7: Deep Dive (if needed)
Call search_crypto_info to answer specific questions about the token's technology, use case, or mechanics.
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.
- 1mo ago First seen · 199 lines · 113 tokens per session scan A 8e117f52214d
crypto-research is a skill published in the GitHub repository OpenCMC/skills-for-ai-agents-by-CoinMarketCap (75 stars, last pushed 4d ago), licensed MIT. It adds 113 tokens to every session and 1,597 once invoked, about $0.0005 per session on Opus 5.5. 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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