token-report

Compute token price, liquidity, and volume deltas from memory logs and OHLCV data.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/swarm-ai-research/aeon --skill token-report-swarm-ai-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: token-report
Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/token-report
Command: npx skills add https://github.com/swarm-ai-research/aeon --skill token-report-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the daily generation of a token performance report by synthesizing on-chain and market data, validating consistency against trusted sources, and preserving state for future deltas.

Core Features & Use Cases

  • Automated delta computation: loads 1d/7d/30d price, liquidity, and volume from memory logs and OHLCV data, then computes percent changes and assigns a verdict.
  • Sanity checks & validation: cross-checks with GeckoTerminal and DexScreener, applies thresholds for liquid vs. low-liquidity pairs, and records divergences without aborting the process.
  • Structured reporting & persistence: compiles a complete markdown article saved to articles/token-report-${today}.md and updates memory logs to power tomorrow's deltas.
  • Optional social sentiment: integrates with XAI for sentiment analysis when configured.

Quick Start

Run the token-report process daily to generate the token's performance article and update the memory log for tomorrow’s deltas.

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 token performance reporting with price and volume deltas?

Daily token reporting computes 1d, 7d, and 30d price, liquidity, and volume deltas from memory logs and OHLCV data, assigning a daily verdict and saving a complete markdown article.

How does automated crypto reporting validate market data for low-liquidity pairs?

Automated crypto reporting cross-checks loaded OHLCV data against GeckoTerminal and DexScreener, applying thresholds for liquid versus low-liquidity pairs and recording divergences without aborting the process.

Can I add social sentiment analysis to my daily token report?

Yes, daily token reporting optionally integrates with XAI for social sentiment analysis when configured, adding sentiment metrics alongside computed price and volume deltas in the final markdown article.

What's the best way to track 30-day crypto price and liquidity changes?

Tracking 30-day crypto price and liquidity changes is handled by computing true deltas from stored memory logs and OHLCV data, saving results to a dated markdown file and updating logs for tomorrow.

Do I need GeckoTerminal and DexScreener to generate a token performance report?

GeckoTerminal and DexScreener are used for sanity checks and threshold-based divergence detection during token performance reporting, ensuring data consistency without aborting the report generation process.