# logslim-mcp

> Use this tool when you need to simplify and compact noisy log output from tests, builds, and cloud logs, reducing the number of tokens by 80-95% on failures. It solves problems of log noise and complexity by deduping repeats, collapsing stack frames, and folding retries, making it easier for AI agents to read and process. Ideal for use cases where log output needs to be streamlined and simplified, such as in automated testing and cloud logging scenarios.

Canonical page: https://skillsregistry.net/skills/p156ham-logslim  
JSON: https://api.skillsregistry.net/v1/skills/p156ham-logslim

## Description

Compacts noisy test, build, and cloud-log output before an AI agent reads it — dedupes repeats, collapses stack frames, folds Playwright retries, and renders CloudWatch/GCP JSON logs down to the signal. Typically 80–95% fewer tokens on failures.

Tool: compact_output. Run: npx -y logslim logslim-mcp

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b6ncfv1vvv)
- **Repository:** <https://github.com/P156HAM/logslim>

## 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": "p156ham-logslim"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/p156ham-logslim` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/p156ham-logslim/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