# genpark-agent-breakpoint-checkpoint-approval-patcher-skill

> genpark-agent-breakpoint-checkpoint-approval-patcher-skill — alpha-park-genpark-agent-breakpoint-checkpoint-approval-patcher-skill. Use this tool when you need to patch and approve breakpoints in a LangGraph model, enabling human-in-the-loop pause and state mutation for more accurate training and debugging. It solves problems related to model training and testing by allowing for targeted intervention and modification of model states. The tool accepts LangGraph models and git repositories as inputs and produces patched models as outputs.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-agent-breakpoint-checkpoint-approval-patcher-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-breakpoint-checkpoint-approval-patcher-skill

## Description

LangGraph human-in-the-loop breakpoint pause & state mutation patcher

## Trust

- **Trust score (0–1):** 1.00
- **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-agent-breakpoint-checkpoint-approval-patcher-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-agent-breakpoint-checkpoint-approval-patcher-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-breakpoint-checkpoint-approval-patcher-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-agent-breakpoint-checkpoint-approval-patcher-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