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 market-reportgit 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/market-report)<a href="https://agentmods.dev/skills/opencmc/skills-for-ai-agents-by-coinmarketcap/market-report"><img src="https://agentmods.dev/badge/skills/opencmc/skills-for-ai-agents-by-coinmarketcap/market-report/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/market-report"><img src="https://agentmods.dev/badge/skills/opencmc/skills-for-ai-agents-by-coinmarketcap/market-report.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 | $0.00100 | $0.01244 |
| Opus 5 | $0.00050 | $0.00622 |
| Sonnet 5 | $0.00020 | $0.00249 |
| Haiku 4.5 | $0.00010 | $0.00124 |
Grade A, and why
market-report 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Report Skill
Generate a comprehensive crypto market report by systematically pulling data from multiple CMC MCP tools.
Prerequisites
Before generating a report, 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
Fetch data from all relevant tools to provide a complete market picture. Users want a one-stop summary they can rely on daily.
Report Workflow
Step 1: Global Market Health
Call get_global_metrics_latest to get:
- Total crypto market cap and 24h/7d/30d changes
- Fear & Greed Index (current value and trend)
- Altcoin Season Index
- BTC and ETH dominance
- Total volume
- ETF flows (BTC and ETH)
Step 2: Market Technical Analysis
Call get_crypto_marketcap_technical_analysis to get:
- Total market cap RSI
- MACD signals
- Key support/resistance levels (Fibonacci, pivot points)
Step 3: Leverage and Derivatives
Call get_global_crypto_derivatives_metrics to get:
- Total open interest and changes
- Funding rates (positive = longs paying shorts)
- BTC liquidations (long vs short bias)
- Futures vs perpetuals breakdown
Step 4: Trending Narratives
Call trending_crypto_narratives to get:
- Top trending themes/sectors
- Market cap and performance of each narrative
- Top coins within each narrative
Step 5: Upcoming Catalysts
Call get_upcoming_macro_events to get:
- Fed meetings and rate decisions
- Regulatory deadlines
- Major protocol upgrades
- Other market-moving events
Step 6: BTC and ETH Quick Check
Call get_crypto_quotes_latest with id="1,1027" to get current BTC and ETH prices and changes as anchors for the report.
Report Structure
Present the data in this order:
## Market Snapshot
- Total market cap: $X.XX T (24h: +X.X%)
- Fear & Greed: XX (Extreme Fear/Fear/Neutral/Greed/Extreme Greed)
- BTC Dominance: XX% | ETH Dominance: XX%
- Altcoin Season Index: XX
## BTC & ETH
- BTC: $XX,XXX (24h: X.X%, 7d: X.X%)
- ETH: $X,XXX (24h: X.X%, 7d: X.X%)
## Market Technicals
- RSI: XX (oversold/neutral/overbought)
- MACD: bullish/bearish
- Key levels: support at $X.XX T, resistance at $X.XX T
## Leverage & Sentiment
- Open Interest: $XXX B (24h: X.X%)
- Funding Rate: X.XXX% (longs/shorts paying)
- 24h Liquidations: $XXX M (XX% longs, XX% shorts)
## Trending Narratives
1. Narrative Name - $XX B market cap, +XX% (7d)
2. ...
## Upcoming Catalysts
- Date: Event description
- ...
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 · 145 lines · 100 tokens per session scan A de2bd3cda070
market-report is a skill published in the GitHub repository OpenCMC/skills-for-ai-agents-by-CoinMarketCap (67 stars, last pushed 6mo ago), licensed MIT. It adds 100 tokens to every session and 1,244 once invoked, about $0.0005 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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