# glim.sh

> Use this tool when you need to fetch live data from various online sources, including Twitter, Reddit, the web, and GitHub, without requiring API keys or scraping infrastructure. It solves the problem of accessing real-time data from multiple platforms, providing a streamlined interface for inputting source specifications and outputting relevant data. Ideal for use cases where up-to-date online information is crucial, such as social media monitoring, trend analysis, or data-driven decision making.

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

## Description

Give your agent live data from Twitter, Reddit, the web and GitHub. No API keys, no scraping stack.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/glim/glim)

## 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": "glim-glim"
    }
  }
}
```

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