# agent-session-mirror

> agent-session-mirror — makoy-daniot2001-agent-session-mirror. Use this tool when you need to monitor and analyze AI coding agent performance, leveraging self-benchmarking and semantic search capabilities to optimize development workflows and troubleshoot issues. It takes in Git data as input and provides actionable insights as output, enabling data-driven decisions. Ideal for use cases where enhanced observability and debugging of AI coding agents are crucial.

Canonical page: https://skillsregistry.net/skills/makoy-daniot2001-agent-session-mirror  
JSON: https://api.skillsregistry.net/v1/skills/makoy-daniot2001-agent-session-mirror

## Description

Best AI Coding Agent Observability Tool 2026 - Self-Bench & Semantic Search

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** monitoring
- **Updated:** 2026-09-29

## Source

- **Source listing:** [GitHub](https://github.com/makoy-daniot2001/agent-session-mirror)

## 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": "makoy-daniot2001-agent-session-mirror"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/makoy-daniot2001-agent-session-mirror` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/makoy-daniot2001-agent-session-mirror/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