# ac.snag/snag

> ac.snag/snag — ac-snag-snag. Use this tool when you need to collect and analyze evidence for debugging purposes, as it provides console, network, replay, and screenshot data to help identify and resolve bugs. It solves problems related to reproducing and troubleshooting issues by capturing detailed evidence. This tool is ideal for use during testing and quality assurance phases, accepting bug reports as input and outputting comprehensive evidence for further analysis.

Canonical page: https://skillsregistry.net/skills/ac-snag-snag  
JSON: https://api.skillsregistry.net/v1/skills/ac-snag-snag

## Description

Gives your coding agent the captured console, network, replay and screenshot evidence for a bug.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ac.snag%2Fsnag)

## Use it

MCP endpoint published by the skill: `https://mcp.snag.ac/mcp`

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": "ac-snag-snag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ac-snag-snag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ac-snag-snag/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