token-report

Name: token-report
Availability: InStock
Author: @aaronjmars

Collect cryptocurrency token data from GeckoTerminal and generate markdown reports.

17|1|Updated Mar 25, 2026

Search Tags:#performance #market monitoring #trend analysis #token #crypto #sentiment

Ready to run

npx skills add https://github.com/aaronjmars/miroshark-aeon --skill token-report-aaronjmars

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: token-report
Source: https://github.com/aaronjmars/miroshark-aeon/tree/main/skills/token-report
Command: npx skills add https://github.com/aaronjmars/miroshark-aeon --skill token-report-aaronjmars

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires geckoterminal, and includes scripts (resource) and references (resource) components.

What problem does it solve?

It streamlines the process of monitoring and reporting on the daily price, volume, and liquidity metrics of a project's token, providing timely insights without manual effort.

Core Features & Use Cases

Data Retrieval: Fetches token metadata, pool data, OHLCV candles, and recent trades from GeckoTerminal.
Sentiment Analysis: Integrates social sentiment data from XAI or web searches to gauge community mood.
Report Generation: Compiles comprehensive markdown reports and logs price/trading activity for trend analysis.
Use Case: Ideal for crypto analysts tracking token performance for market decisions or project teams monitoring their token metrics daily.

Quick Start

Use the token-report skill to generate a daily performance summary of the monitored token.

Frequently Asked Questions about token-report

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate daily cryptocurrency token performance reports?▼

Automating daily cryptocurrency token performance reports involves fetching price trends, trading volume, and liquidity metrics from GeckoTerminal to compile comprehensive markdown summaries without manual effort. This skill logs trading activity and integrates social sentiment for trend analysis.

What is the best way to monitor crypto market sentiment alongside token price trends?▼

Monitoring crypto market sentiment alongside token price trends requires combining exchange pool data with social media analysis. This skill retrieves OHLCV candles and recent trades from GeckoTerminal while optionally incorporating social sentiment data from web searches to gauge community mood.

Does GeckoTerminal provide enough data for comprehensive crypto market monitoring?▼

GeckoTerminal provides sufficient data for crypto market monitoring by supplying token metadata, pool data, OHLCV candles, and recent trades. This skill fetches these multiple data points to ensure data integrity when assessing token performance for investment decisions.

Can I track token trading volume and liquidity metrics automatically for investment decisions?▼

Tracking token trading volume and liquidity metrics automatically for investment decisions is possible by retrieving pool data and OHLCV candles from GeckoTerminal. This skill compiles daily markdown reports to help analysts quickly assess token performance and market trends.

How do I generate a markdown report for cryptocurrency trend analysis?▼

Generating a markdown report for cryptocurrency trend analysis involves compiling fetched token data, including price trends and recent trades, into a structured document. This skill automates report generation by logging trading activity and incorporating social sentiment analysis.

What data sources are needed for automated crypto token reporting?▼

Automated crypto token reporting requires data sources like GeckoTerminal for token metadata and pool data, plus optional social media feeds for sentiment analysis. This skill uses these inputs to generate daily performance summaries and assess community mood for market monitoring.