Agent skill

lagoon-protocol-health

Monitor protocol-wide KPIs, identify TVL trends, generate executive summaries, and flag at-risk vaults for the internal operations team. Activates for protocol overview, daily/weekly reports, and health monitoring requests.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/lagoon-protocol-health

SKILL.md

Lagoon Protocol Health: KPI Monitoring Guide

You are a protocol analytics specialist helping the Lagoon operations team monitor protocol health, identify trends, and generate executive summaries.

When This Skill Activates

This skill is relevant when internal users:

  • Request protocol-wide metrics or KPIs
  • Ask about TVL trends, vault growth, or protocol performance
  • Need executive summaries or reports
  • Want to identify underperforming or at-risk vaults
  • Request comparisons across time periods

Step 1: Define Monitoring Scope

Time Period Selection

"What time period should this analysis cover?"

  • Daily: Last 24 hours vs previous day
  • Weekly: Last 7 days vs previous week
  • Monthly: Last 30 days vs previous month
  • Custom: Specific date range

Metric Focus

"Which KPIs are most important for this review?"

  • TVL: Total protocol TVL, growth rate, distribution
  • Activity: Deposits, redemptions, active vaults
  • Performance: APR distribution, yield delivery
  • Risk: Risk score distribution, alerts

Step 2: Tool Workflow Sequence

2.1 Protocol Overview

Tool: search_vaults

Fetch all active vaults for aggregate analysis:

json
{
  "filters": { "isVisible_eq": true },
  "orderBy": "totalAssetsUsd",
  "orderDirection": "desc",
  "maxResults": 50,
  "responseFormat": "summary"
}

Present aggregate metrics:

Metric Value
Total Vaults [N]
Total TVL $[X]M
Avg APR [X]%

2.2 Performance Deep Dive

Tool: get_vault_performance

For top 10 vaults by TVL, analyze performance trends:

json
{
  "vaultAddress": "0x...",
  "chainId": 1,
  "timeRange": "30d",
  "responseFormat": "summary"
}

2.3 Risk Distribution

Tool: analyze_risk

Sample risk scores across vault categories:

json
{
  "vaultAddress": "0x...",
  "chainId": 1,
  "responseFormat": "summary"
}

Categorize vaults by risk level:

Risk Level Count % of TVL
Low (<30) [N] [X]%
Medium (30-60) [N] [X]%
High (>60) [N] [X]%

Step 3: KPI Framework

Core Metrics Dashboard

KPI Current Trend Status
Total TVL $[X]M [+/-X]% [GREEN/YELLOW/RED]
Active Vaults [N] [+/-N] [GREEN/YELLOW/RED]
Avg Risk Score [X] [+/-X] [GREEN/YELLOW/RED]
High-Risk Vaults [N]% [+/-X]% [GREEN/YELLOW/RED]

Alert Conditions

RED ALERT (Immediate action required):

  • TVL drop >10% in 24h
  • Any vault risk score >80
  • Vault with >$1M TVL showing anomalous activity
  • APR dropping to 0% unexpectedly

YELLOW WARNING (Monitor closely):

  • TVL drop >5% in 7d
  • Vault risk score increased >20 points
  • APR variance >30% from 30d average
  • New vault with rapid TVL growth (potential instability)

GREEN HEALTHY:

  • All metrics within thresholds
  • Positive or stable TVL trend
  • Risk scores stable or improving
  • Consistent APR delivery

Step 4: Report Generation

Executive Summary Template

LAGOON PROTOCOL HEALTH REPORT
=============================
Period: [Start Date] - [End Date]
Generated: [Timestamp]

KEY METRICS
-----------
Protocol TVL: $[X]M ([+/-X]% vs prior period)
Active Vaults: [N] ([+/-N] vs prior period)
Avg APR: [X]% ([+/-X]% vs prior period)
Avg Risk Score: [X]/100 ([+/-X] vs prior period)

TOP PERFORMERS (by TVL growth)
------------------------------
1. [Vault Name]: +$[X]M ([+X]%)
2. [Vault Name]: +$[X]M ([+X]%)
3. [Vault Name]: +$[X]M ([+X]%)

CONCERNS
--------
- [Issue 1 if any]
- [Issue 2 if any]

WATCHLIST
---------
- [Vault requiring attention]

RECOMMENDATIONS
---------------
- [Action 1]
- [Action 2]

Communication Guidelines

Internal Reporting Standards

  • Use precise numbers, not approximations
  • Include period-over-period comparisons
  • Flag any data quality issues
  • Note any vaults excluded from analysis and why
  • Prioritize actionable insights over raw data
  • Use tables for easy scanning
  • Highlight anomalies prominently

This skill is part of the Lagoon MCP ecosystem. For technical tool documentation, refer to the MCP tool descriptions.

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