# cheatsense

> cheatsense — cognis-digital-cheatsense. Use this tool when you need to detect and prevent cheating in online games by analyzing game session logs for statistically anomalous behavior. Cheatsense ingests log data and outputs flagged signatures with explainable scoring, helping to identify suspicious activity. Ideal for game developers and administrators seeking to maintain fair play and secure gaming environments.

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

## Description

Anti-cheat telemetry analyzer that ingests game session logs and flags statistically anomalous input/aim/movement signatures with explainable per-flag scoring.

## 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/cheatsense)

## 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-cheatsense"
    }
  }
}
```

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