# pangram-editorial

> Use this tool when you need to analyze written content for authorship and transparency, enabling AI attribution audits and editorial reviews. It solves problems of uncertain or unclear content origins, providing segment breakdowns for informed decision-making. The tool accepts written content as input and outputs detailed authorship analysis and transparency checks.

Canonical page: https://skillsregistry.net/skills/nik-kale-pangram-mcp-editorial-tools  
JSON: https://api.skillsregistry.net/v1/skills/nik-kale-pangram-mcp-editorial-tools

## Description

Enables AI attribution audits and quick transparency checks on written content, providing authorship analysis and segment breakdowns for editorial review.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ff3idh0vm0)
- **Repository:** <https://github.com/nik-kale/pangram-mcp-editorial-tools>

## 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": "nik-kale-pangram-mcp-editorial-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nik-kale-pangram-mcp-editorial-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nik-kale-pangram-mcp-editorial-tools/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