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.
Install this agent skill to your Project
npx add-skill https://github.com/hopperlabsxyz/lagoon-mcp/tree/main/skills/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:
{
"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:
{
"vaultAddress": "0x...",
"chainId": 1,
"timeRange": "30d",
"responseFormat": "summary"
}
2.3 Risk Distribution
Tool: analyze_risk
Sample risk scores across vault categories:
{
"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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