# decide

> decide — alsoleg89-decide. Use this tool when you need to efficiently classify and process large volumes of decisions with limited context. It solves the problem of information overload by sending bulk classifications to Jev while maintaining a compact agent context. Ideal for use cases involving high-volume decision-making, where simplicity and speed are crucial.

Canonical page: https://skillsregistry.net/skills/alsoleg89-decide  
JSON: https://api.skillsregistry.net/v1/skills/alsoleg89-decide

## Description

Bulk decisions for AI agents. Jev classifies files and logs; your agent reviews exceptions. Reproducible cost and quality benchmarks.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/alsoleg89/decide)

## 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": "alsoleg89-decide"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alsoleg89-decide` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alsoleg89-decide/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