# waybackrecon

> waybackrecon — cognis-digital-waybackrecon. Use this tool when you need to extract and analyze archived URLs, parameters, and endpoints from a Wayback or CDX export, solving problems related to historical web data analysis and digital forensics. It takes in a Wayback/CDX export as input and outputs mined URLs, parameters, and endpoints, providing valuable insights into past web content. This tool is particularly useful in contexts where understanding website evolution, tracking changes, or investigating historical online activity is crucial.

Canonical page: https://skillsregistry.net/skills/cognis-digital-waybackrecon  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-waybackrecon

## Description

Mine archived URLs/params/endpoints from a Wayback/CDX export

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/waybackrecon)

## 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": "cognis-digital-waybackrecon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-waybackrecon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-waybackrecon/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