# MASA Orchestrator

> Use this tool when you need to enforce specification architecture discipline and manage delegations in machine-aided development frameworks. The MASA Orchestrator solves problems related to task header validation, notation consistency, and benchmark tracking, taking in task specifications and code snippets as inputs and producing audit reports and consolidation summaries as outputs. It is ideal for use cases requiring rigorous guardrail enforcement and delegation management in AI and machine learning development contexts.

Canonical page: https://skillsregistry.net/skills/lesz-xi-masa-orchestrator  
JSON: https://api.skillsregistry.net/v1/skills/lesz-xi-masa-orchestrator

## Description

Provides guardrail enforcement and delegation management for the MASA (Machine-Aided Specification Architecture) framework. Validates task headers and notation discipline, audits overclaims, reports benchmark status, checks LLM independence for engine-core code, and tracks delegation-chain state with conservative consolidation summaries.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lesz-xi-masa-orchestrator)
- **Repository:** <https://github.com/lesz-xi/masa-orchestrator-mcp>

## 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": "lesz-xi-masa-orchestrator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lesz-xi-masa-orchestrator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lesz-xi-masa-orchestrator/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