# observer

> observer — valtors-observer. Use this tool when you need to monitor and log agent activities, such as tool calls and interactions, to improve observability and reduce token overhead. The observer tool provides a transparent proxy for logging and tracing, allowing for the exposure of trace history and integration with git. It is ideal for use cases requiring detailed activity tracking and optimization of token usage.

Canonical page: https://skillsregistry.net/skills/valtors-observer  
JSON: https://api.skillsregistry.net/v1/skills/valtors-observer

## Description

Transparent MCP proxy for agent observability. Logs every tool call, exposes trace history, reduces token overhead.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/valtors/observer)

## 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": "valtors-observer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/valtors-observer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/valtors-observer/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