# uaslog

> uaslog — cognis-digital-uaslog. Use this tool when you need to analyze Counter-UAS telemetry and log data to detect and flag drone-related events, RF band usage, and track anomalies, providing insights into potential security threats. It takes in log files as input and outputs flagged events and anomalies for further investigation. Ideal for use in security and surveillance contexts where drone activity needs to be monitored and tracked.

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

## Description

Counter-UAS telemetry/log analyzer that flags drone-detection events, RF bands, and track anomalies.

## 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/uaslog)

## 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-uaslog"
    }
  }
}
```

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