# decidealot

> decidealot — psyb0t-decidealot. Use this tool when you need to make decisions based on local data and models, without incurring cloud costs. Decidealot takes in messy state data and outputs typed choices, scores, and yes-no calls through TypeSafe-compatible HTTP and MCP interfaces. Ideal for use cases requiring local decision-making, such as edge computing or offline applications, with integration supported via git.

Canonical page: https://skillsregistry.net/skills/psyb0t-decidealot  
JSON: https://api.skillsregistry.net/v1/skills/psyb0t-decidealot

## Description

Local decision models for typed choices, scores, and yes-no calls. Run Laya, Von, and CLM through TypeSafe-compatible HTTP and MCP.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/psyb0t/decidealot)

## 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": "psyb0t-decidealot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/psyb0t-decidealot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/psyb0t-decidealot/pull`

---
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