# skill-evidenceops

> skill-evidenceops — msrovani-skill-evidenceops. Use this tool when you need to analyze and preserve digital evidence from various media sources while maintaining a secure chain of custody. It solves problems related to forensic investigations, such as identifying and extracting relevant data, and provides outputs including detailed reports and evidence logs. Ideal for use in legal, cybersecurity, and compliance contexts where digital evidence integrity is crucial.

Canonical page: https://skillsregistry.net/skills/msrovani-skill-evidenceops  
JSON: https://api.skillsregistry.net/v1/skills/msrovani-skill-evidenceops

## Description

Forensic media triage with chain of custody.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-27

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/msrovani-skill-evidenceops)

## 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": "msrovani-skill-evidenceops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/msrovani-skill-evidenceops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/msrovani-skill-evidenceops/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