# logsift

> logsift — cognis-digital-logsift. Use this tool when you need to detect and identify potential security threats in log data, such as brute-force, spray, and anomalous authentication events. It analyzes log inputs to generate outputs that highlight suspicious activity, helping to solve problems related to security monitoring and incident response. Ideal for use in security operations and threat hunting contexts.

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

## Description

Detect brute-force, spray, and anomalous auth events in logs

## 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/logsift)

## 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-logsift"
    }
  }
}
```

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