# browserforensics

> browserforensics — cognis-digital-browserforensics. Use this tool when you need to analyze browser history and downloads for signs of malicious activity, such as indicators of compromise (IOCs) and data exfiltration. It takes exported browser data as input and outputs potential security threats, helping to identify and investigate browser-based attacks. Ideal for incident response and digital forensics investigations.

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

## Description

Analyze exported browser history/downloads for IOCs and exfil signs

## 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/browserforensics)

## 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-browserforensics"
    }
  }
}
```

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