# mcp-injection-experiments

> Use this tool when you need to automate experiments with code injection using Git, solving problems such as testing and validating code changes in a controlled environment. It takes in Git repositories and experiment configurations as inputs and outputs results and insights on the effectiveness of the injected code. Ideal for use cases where continuous integration and testing are crucial, such as software development and quality assurance.

Canonical page: https://skillsregistry.net/skills/hyun-hyang-mcp-injection-experiments  
JSON: https://api.skillsregistry.net/v1/skills/hyun-hyang-mcp-injection-experiments

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/hyun-hyang/mcp-injection-experiments)
- **Repository:** <https://github.com/hyun-hyang/mcp-injection-experiments>

## 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": "hyun-hyang-mcp-injection-experiments"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hyun-hyang-mcp-injection-experiments` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hyun-hyang-mcp-injection-experiments/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