# agent-metrics-osiris

> agent-metrics-osiris — nantes-agent-metrics-osiris. Use this tool when you need to monitor and optimize AI agent performance, tracking key metrics such as call volumes, error rates, and latency to identify bottlenecks and areas for improvement. It provides insights into agent behavior, helping to solve issues related to reliability, efficiency, and responsiveness. Input includes agent logs and performance data, with outputs featuring visualized metrics and alerts for proactive issue resolution.

Canonical page: https://skillsregistry.net/skills/nantes-agent-metrics-osiris  
JSON: https://api.skillsregistry.net/v1/skills/nantes-agent-metrics-osiris

## Description

Observability and metrics for AI agents - track calls, errors, latency.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/nantes-agent-metrics-osiris)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nantes-agent-metrics-osiris"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nantes-agent-metrics-osiris` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nantes-agent-metrics-osiris/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt