# Accura

> Accura — annusshahzad-accura. Use this tool when you need to refine AI responses to meet specific quality standards, as it generates, evaluates, and refines outputs through iterative prompt rephrasing. Accura solves problems of inconsistent or low-quality AI outputs by automatically assessing and improving them. It takes in prompts and quality thresholds as inputs, producing high-quality AI responses as outputs.

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

## Description

Accura is a multi-agent AI platform designed to generate, evaluate, and refine AI responses until they meet a defined quality threshold. It uses a combination of generator and evaluator agents to automatically assess outputs and iteratively improve them through prompt rephrasing

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/AnnusShahzad/Accura)

## 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": "annusshahzad-accura"
    }
  }
}
```

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