# sidewise

> sidewise — nulljosh-sidewise. Use this tool when you need to identify biased media coverage and uncover underreported stories across the political spectrum. Sidewise reads 16 feeds and flags stories that are only being covered by one side, providing a unique perspective on current events. It takes in multiple news feeds as input and outputs flagged stories, helping users to stay informed and detect potential media biases.

Canonical page: https://skillsregistry.net/skills/nulljosh-sidewise  
JSON: https://api.skillsregistry.net/v1/skills/nulljosh-sidewise

## Description

Reads 16 feeds across the political spectrum and flags stories only one side is covering.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/nulljosh/sidewise)

## 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": "nulljosh-sidewise"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nulljosh-sidewise` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nulljosh-sidewise/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