token-report

Aggregate token price, liquidity, volume, and on-chain signals into a daily report.

Updated Jun 2, 2026

Search Tags:#cryptocurrency #market-analysis #on-chain #token-report #geckoterminal #dexscreener

Ready to run

npx skills add https://github.com/Atrium-Hermes/atrium-lighthouse --skill token-report-atrium-hermes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: token-report
Source: https://github.com/Atrium-Hermes/atrium-lighthouse/tree/main/skills/token-report
Command: npx skills add https://github.com/Atrium-Hermes/atrium-lighthouse --skill token-report-atrium-hermes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams automate the creation of a daily token performance report, consolidating price, liquidity, volume, and context into an actionable digest.

Core Features & Use Cases

Automated data aggregation: fetches price, liquidity, and 24h volume from GeckoTerminal for Base and cross-checks with DexScreener, applying fallback logic when data is missing.
Delta computation & insight generation: derives 1d/7d/30d deltas, liquidity changes, volume ratios, buy/sell shifts, and whale activity to drive a narrative.
Structured reporting: compiles a publishable article with a standardized footer of sources, treasury state (when available), and a concise verdict.
Use Case: daily monitoring of the project's token to surface actionable market signals for the team.

Quick Start

Generate the daily token report for the tracked token and publish the article.

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?▼

You can automate daily token performance reports by aggregating price, liquidity, volume, and on-chain signals from GeckoTerminal and DexScreener, generating a publishable article with risk indicators. This process calculates 1d, 7d, and 30d deltas using OHLCV fallbacks to deliver an actionable market digest.

How does on-chain market analysis handle missing historical token data?▼

On-chain market analysis handles missing historical token data by applying memory-backed deltas for 1d, 7d, and 30d intervals, falling back to OHLCV data when prior values are missing. This ensures continuous performance tracking and accurate reporting despite data gaps.

Can I cross-check token liquidity and volume from DexScreener with GeckoTerminal?▼

Yes, you can cross-check token liquidity and volume by fetching base data from GeckoTerminal and validating it against DexScreener. The system applies fallback logic automatically if discrepancies or missing values occur during the aggregation process.

What is the best way to track whale activity and buy/sell shifts for a cryptocurrency?▼

The best way to track whale activity and buy/sell shifts is by deriving volume ratios and on-chain signals from GeckoTerminal and DexScreener data. This approach compiles shifts into a structured report, providing a concise verdict and actionable market context for your team.

Does automated token reporting include risk indicators and treasury state?▼

Automated token reporting includes a structured footer containing risk indicators and treasury state when available. It compiles these metrics alongside aggregated price and liquidity data to provide a complete, publishable article with sources for daily monitoring.

Why use OHLCV data for cryptocurrency delta computation instead of raw on-chain signals?▼

OHLCV data is used for cryptocurrency delta computation as a fallback mechanism when memory-backed prior values are missing. This ensures accurate 1d, 7d, and 30d performance deltas are calculated continuously, maintaining report integrity without relying solely on raw on-chain signals.