# electionlens

> electionlens — cognis-digital-electionlens. Use this tool when you need to monitor and analyze influence operations during election periods, helping to identify and mitigate potential interference. It solves problems related to election integrity and transparency by detecting suspicious patterns and activities. The tool accepts data inputs related to election periods and outputs insights on potential influence operations, making it a valuable resource for those seeking to ensure fair and unbiased electoral processes.

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

## Description

Influence-operations pattern monitor for election periods

## 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/electionlens)

## 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-electionlens"
    }
  }
}
```

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