# wellinformed

> Use this tool when you need to accumulate and share knowledge seamlessly across machines, enabling continuous shared learning and access to everlastingly up-to-date information. It solves problems of knowledge fragmentation and outdated information, providing a peer-to-peer shared knowledge network with lightning-speed access. Ideal for use in LLM work sessions, it accepts knowledge inputs and outputs globally accessible knowledge planes.

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

## Description

A decentralized cooperative memory & research layer for AI agents — collectively and cooperatively learning and advancing as a community.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-26

## Source

- **Source listing:** [GitHub](https://github.com/SaharBarak/wellinformed)

## 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": "saharbarak-wellinformed"
    }
  }
}
```

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