# prefetchparse

> prefetchparse — cognis-digital-prefetchparse. Use this tool when you need to analyze Windows Prefetch data to surface evidence of program execution, solving problems related to digital forensics and incident response. It takes Windows Prefetch exports as input and produces parsed execution evidence as output. Ideal for use in investigations requiring reconstruction of system activity and malware analysis.

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

## Description

Surface program-execution evidence from Windows Prefetch exports

## 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/prefetchparse)

## 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-prefetchparse"
    }
  }
}
```

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