# session-cost

> session-cost — khaney64-session-cost. Use this tool when you need to analyze OpenClaw session logs and report on token usage, costs, and performance metrics. It solves problems related to understanding and optimizing model performance, providing insights into costs and usage patterns. The tool takes session logs as input and outputs detailed metrics grouped by model, making it ideal for use cases where cost tracking and performance optimization are crucial.

Canonical page: https://skillsregistry.net/skills/khaney64-session-cost  
JSON: https://api.skillsregistry.net/v1/skills/khaney64-session-cost

## Description

Analyze OpenClaw session logs to report token usage, costs, and performance metrics grouped by model.

## 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:** monitoring
- **Updated:** 2026-09-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/khaney64-session-cost)

## 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": "khaney64-session-cost"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khaney64-session-cost` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khaney64-session-cost/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