# iocrep

> iocrep — cognis-digital-iocrep. Use this tool when you need to assess the reputation of Indicators of Compromise (IOCs) against offline lists, providing explainable verdicts to inform security decisions. It solves problems related to threat intelligence and security operations by scoring IOCs and generating actionable insights. The tool takes IOCs as input and outputs scored verdicts with explanatory information, ideal for use cases involving offline threat analysis and security assessment.

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

## Description

Score IOCs against offline reputation/allow lists with explainable verdicts

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

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

## 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-iocrep"
    }
  }
}
```

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

---
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
