# Robot Framework Log

> Use this tool when you need to parse and analyze Robot Framework test result files, exposing structured test data to LLMs for efficient test result processing and failure analysis. It solves problems related to test data extraction, summary generation, and message searching, supporting output.xml and output.json formats. Ideal for use cases requiring step-level filtering and failure path analysis in automated testing workflows.

Canonical page: https://skillsregistry.net/skills/cceniam-robot-framework-log  
JSON: https://api.skillsregistry.net/v1/skills/cceniam-robot-framework-log

## Description

Robot Framework Log parses Robot Framework test result files and exposes structured test data to LLMs through tools for parsing results, retrieving summary and failure views, and searching messages. Supports output.xml (Robot Framework 6.0.x through 7.x) and output.json (7.2+) formats with step-level filtering and failure path analysis.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cceniam-robot-framework-log)
- **Repository:** <https://github.com/cceniam/rf_log_mcp>

## 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": "cceniam-robot-framework-log"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cceniam-robot-framework-log` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cceniam-robot-framework-log/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