# Plith

> Use this tool when you need to streamline AI agent operations and ensure reliable performance. Plith solves problems related to task management, cost optimization, and output quality by providing APIs for task deduplication, cost prediction, and output validation. It offers a free tier with 1,000 credits/month, making it an ideal choice for developers seeking to build efficient and governed AI systems.

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

## Description

The base layer for AI agents. Five APIs: task deduplication, cost prediction, output validation, behavioral governance, and shared failure intelligence. 1,000 free credits/month, no card required.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-26

## Source

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

## 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": "plith-plith"
    }
  }
}
```

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