This skill should be used when the user asks to "/gobby metrics", "tool metrics", "usage stats", "performance report". View tool usage metrics, performance statistics, and identify failing tools.
Scanned 2/12/2026
Install via CLI
openskills install GobbyAI/gobby---
name: metrics
description: This skill should be used when the user asks to "/gobby metrics", "tool metrics", "usage stats", "performance report". View tool usage metrics, performance statistics, and identify failing tools.
category: core
---
# /gobby metrics - Metrics and Statistics Skill
This skill retrieves usage metrics via the gobby-metrics MCP tools (e.g., `get_tool_metrics()`, `get_top_tools()`, `get_failing_tools()`). Parse the user's input to determine which subcommand to execute.
## Tool Schema Reminder
**First time calling a tool this session?** Use `get_tool_schema(server_name, tool_name)` before `call_tool` to get correct parameters. Schemas are cached per session—no need to refetch.
## Subcommands
### `/gobby metrics tools` - Tool usage statistics
Call `get_tool_metrics` with:
- `server_name`: Optional filter by server name
- `tool_name`: Optional filter by tool name
- `project_id`: Optional project scope
Returns per-tool statistics:
- Call count
- Success rate
- Average latency
- Last used
Example: `/gobby metrics tools` → `get_tool_metrics()`
Example: `/gobby metrics tools gobby-tasks` → `get_tool_metrics(server_name="gobby-tasks")`
Example: `/gobby metrics tools gobby-tasks create_task` → `get_tool_metrics(server_name="gobby-tasks", tool_name="create_task")`
### `/gobby metrics top` - Get top tools by usage
Call `get_top_tools` with:
- `limit`: Max tools to show (default 10)
- `order_by`: Sort by "usage" (default), "success_rate", or "latency"
- `project_id`: Optional project scope
Returns tools ranked by the specified metric.
Example: `/gobby metrics top` → `get_top_tools()`
Example: `/gobby metrics top 20 by latency` → `get_top_tools(limit=20, order_by="latency")`
### `/gobby metrics failing` - Get failing tools
Call `get_failing_tools` with:
- `threshold`: Failure rate threshold (default 0.1 = 10%)
- `limit`: Max results
- `project_id`: Optional project scope
Returns tools with failure rates above the threshold.
Example: `/gobby metrics failing` → `get_failing_tools()`
Example: `/gobby metrics failing 0.05` → `get_failing_tools(threshold=0.05)`
### `/gobby metrics success <server> <tool>` - Get tool success rate
Call `get_tool_success_rate` with:
- `server_name`: (required) Server name
- `tool_name`: (required) Tool name
- `project_id`: (optional) Project ID - automatically inferred from current session context if not provided
Returns detailed success rate for a specific tool. The project_id is optional because it can be inferred from the current working directory's `.gobby/project.json` file.
Example: `/gobby metrics success gobby-tasks create_task` → `get_tool_success_rate(server_name="gobby-tasks", tool_name="create_task")`
### `/gobby metrics reset` - Reset metrics
Call `reset_metrics` with:
- `project_id`: Optional - reset for specific project
- `server_name`: Optional - reset for specific server
- `tool_name`: Optional - reset for specific tool
Clears metrics data. Can scope to project, server, or specific tool.
Example: `/gobby metrics reset` → `reset_metrics()`
Example: `/gobby metrics reset gobby-tasks` → `reset_metrics(server_name="gobby-tasks")`
### `/gobby metrics cleanup` - Clean up old metrics
Call `cleanup_old_metrics` to delete metrics older than retention period (default 7 days).
Example: `/gobby metrics cleanup` → `cleanup_old_metrics()`
### `/gobby metrics retention` - Get retention statistics
Call `get_retention_stats` to see metrics age distribution and storage info.
Example: `/gobby metrics retention` → `get_retention_stats()`
## Response Format
After executing the appropriate MCP tool, present the results clearly:
- For tools: Table with tool name, call count, success rate, avg latency
- For top: Ranked list with the sorting metric highlighted
- For failing: Table of failing tools with failure rates
- For success: Detailed success rate with context
- For reset: Confirmation of what was reset
- For cleanup: Summary of deleted metrics
- For retention: Statistics about metrics age
## Metrics Concepts
- **Call count**: Total number of tool invocations
- **Success rate**: Percentage of calls that completed without error
- **Latency**: Response time in milliseconds
- **Retention**: How long metrics are kept (default 7 days)
## Error Handling
If the subcommand is not recognized, show available subcommands:
- tools, top, failing, success, reset, cleanup, retention
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