# io.github.MukundaKatta/agentsnap

> Use this tool when you need to ensure the reliability and consistency of AI tool outputs by validating and comparing snapshots of tool-call traces. It solves problems of silent regressions and output inconsistencies by providing a diff feature to highlight changes. Ideal for use cases where reproducibility and accuracy of AI tool outputs are crucial, such as in machine learning model testing and validation.

Canonical page: https://skillsregistry.net/skills/io-github-mukundakatta-agentsnap  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentsnap

## Description

Snapshot tests for AI tool-call traces: diff, validate, and catch silent regressions.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MukundaKatta%2Fagentsnap)
- **Repository:** <https://github.com/MukundaKatta/agentsnap-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": "io-github-mukundakatta-agentsnap"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentsnap` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentsnap/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