Agent Skill · Harness
analyze-costs
Analyze cloud costs, find optimization opportunities, and track anomalies using Harness CCM via MCP. Use when user says "cloud costs", "analyze costs", "cost optimization", "reduce spending", "cost report", or asks about cloud bills.
Skill body
Analyze Costs
Analyze cloud costs and identify savings using Harness Cloud Cost Management (CCM) via MCP.
Instructions
Step 1: Get Cost Overview
Call MCP tool: harness_get
Parameters:
resource_type: "cost_account_overview"
Returns total spend, provider breakdown, and trend vs previous period.
Step 2: Get Cost Breakdown
Call MCP tool: harness_get
Parameters:
resource_type: "cost_breakdown"
Multi-dimensional breakdown by service, environment, team, region.
Step 3: Explore Perspectives
Call MCP tool: harness_list
Parameters:
resource_type: "cost_perspective"
Then get detailed data for a specific perspective:
Call MCP tool: harness_get
Parameters:
resource_type: "cost_perspective"
resource_id: "<perspective_id>"
Step 4: Get Cost Trends
Call MCP tool: harness_get
Parameters:
resource_type: "cost_timeseries"
Step 5: Get Optimization Recommendations
Call MCP tool: harness_list
Parameters:
resource_type: "cost_recommendation"
For detailed recommendation info:
Call MCP tool: harness_get
Parameters:
resource_type: "cost_recommendation_detail"
resource_id: "<recommendation_id>"
Summary statistics:
Call MCP tool: harness_get
Parameters:
resource_type: "cost_recommendation_stats"
Step 6: Check for Anomalies
Call MCP tool: harness_list
Parameters:
resource_type: "cost_anomaly"
To dismiss a known anomaly:
Call MCP tool: harness_execute
Parameters:
resource_type: "cost_anomaly"
action: "report_feedback"
resource_id: "<anomaly_id>"
body: { feedback: "FALSE_ANOMALY" } # or TRUE_ANOMALY / NOT_RESPONDED
Step 7: Commitment Analysis
Call MCP tool: harness_get
Parameters:
resource_type: "cost_commitment"
Report Format
## Cloud Cost Analysis
**Period:** Last 30 Days
### Summary
| Provider | Spend | vs Previous |
|----------|-------|-------------|
| AWS | $X | +X% |
| GCP | $X | +X% |
| Azure | $X | -X% |
### Top Recommendations
1. **Rightsize <resource>** - Save $X/month (95% confidence)
2. **Convert to Reserved** - Save $X/month
3. **Delete unused resources** - Save $X/month
### Anomalies
- <date>: <service> spiked $X above expected
### Actions
- [ ] Rightsize instance X
- [ ] Purchase reserved capacity
- [ ] Clean up unused volumes
Cost Resource Types Reference
| Resource Type | Operations | Description |
|---|---|---|
cost_account_overview |
get | Account-level total spend summary |
cost_summary |
get | Perspective-scoped cost summary |
cost_timeseries |
get | Cost trends over time |
cost_breakdown |
get | Multi-dimensional breakdown |
cost_perspective |
list, get | Custom cost views |
cost_recommendation |
list | Optimization suggestions |
cost_recommendation_detail |
get | Detailed recommendation |
cost_recommendation_stats |
get | Summary statistics |
cost_anomaly |
list, get, execute(report_feedback) | Cost spikes |
cost_anomaly_summary |
get | Anomaly aggregate summary |
cost_category |
list, get | Cost allocation |
cost_commitment |
get | Commitment coverage/utilisation/savings |
cost_filter_value |
get | Available filter values |
Examples
- “How much are we spending on cloud?” - Get cost_account_overview
- “Find $5,000 in monthly savings” - List cost_recommendations, prioritize by savings
- “Why did our bill spike last week?” - List cost_anomaly
- “Break down costs by team” - Get cost_breakdown or cost_perspective
- “Are we using our reserved instances?” - Get cost_commitment
Performance Notes
- Gather data from all relevant perspectives before drawing cost conclusions. Partial data leads to incorrect recommendations.
- Cross-reference recommendations with anomaly data to distinguish trends from spikes.
- Quality of cost analysis is more important than speed. Verify savings estimates before presenting.
Troubleshooting
No Cost Data
- Check cloud connectors are configured and syncing
- Initial sync takes 24-48 hours
- Verify billing access permissions (Cost Explorer, Billing API)
No Recommendations
- Resources need sufficient usage history for analysis
- Small savings may be filtered out
- Check minimum running time requirements
Skill frontmatter
metadata: {"author"=>"Harness", "version"=>"2.0.0", "mcp-server"=>"harness-mcp-v2"}
license: Apache-2.0
compatibility: Requires Harness MCP v2 server (harness-mcp-v2)