# QMesha

> QMesha — chimera1b-qmesha. Use this tool when you need to manage and govern agent decision-making with enforced spending limits and auditable provenance. QMesha provides a middleware solution that integrates with git, allowing for local-first Markdown memory and refusing executions that exceed predefined limits. Ideal for use cases requiring transparent and secure decision-making processes.

Canonical page: https://skillsregistry.net/skills/chimera1b-qmesha  
JSON: https://api.skillsregistry.net/v1/skills/chimera1b-qmesha

## Description

MCP-native agent middleware with governance enforced in code: spending limits that refuse before execution, auditable decision provenance, and local-first Markdown memory.

## Trust

- **Trust score (0–1):** 0.25
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/CHIMERA1B/QMesha)

## 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": "chimera1b-qmesha"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chimera1b-qmesha` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chimera1b-qmesha/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