# genpark-llm-tool-call-repair-fuzzy-json-parser-skill

> genpark-llm-tool-call-repair-fuzzy-json-parser-skill — alpha-park-genpark-llm-tool-call-repair-fuzzy-json-parser-skill. Use this tool when you need to repair and sanitize faulty JSON payloads from LLM tool calls, handling unescaped quotes and markdown codefences to ensure seamless data exchange. It solves problems of malformed JSON data, providing a fault-tolerant solution for AI agent interactions. Input faulty JSON, output sanitized and repaired JSON, ideal for use in git-based workflows and LLM integrations.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-llm-tool-call-repair-fuzzy-json-parser-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-llm-tool-call-repair-fuzzy-json-parser-skill

## Description

GenPark AI Agent Skill - Fault-tolerant LLM tool call payload repair, unescaped quote sanitization, and markdown codefence stripper.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-llm-tool-call-repair-fuzzy-json-parser-skill)

## 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": "alpha-park-genpark-llm-tool-call-repair-fuzzy-json-parser-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-llm-tool-call-repair-fuzzy-json-parser-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-llm-tool-call-repair-fuzzy-json-parser-skill/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