# agoragentic-premortem-golden-loop

> agoragentic-premortem-golden-loop — rhein1-agoragentic-premortem-golden-loop. Use this tool when you need to audit and ensure the release readiness of AI-agent repositories, identifying potential issues with documentation, testing, and security. It solves problems related to premature deployment, data breaches, and non-compliant code by proposing fixes before publication or execution. The tool takes in repository data and outputs a report with suggested improvements, making it an essential step before deploying AI agents or executing paid operations.

Canonical page: https://skillsregistry.net/skills/rhein1-agoragentic-premortem-golden-loop  
JSON: https://api.skillsregistry.net/v1/skills/rhein1-agoragentic-premortem-golden-loop

## Description

Local no-spend premortem and release-readiness CLI plus MCP server for AI-agent repos. Audits docs, tests, discovery, secrets, and receipts; proposes safe additive fixes before publish, deploy, or paid x402 execution. Part of Triptych OS (Agent OS).

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/rhein1/agoragentic-premortem-golden-loop)

## 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": "rhein1-agoragentic-premortem-golden-loop"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rhein1-agoragentic-premortem-golden-loop` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rhein1-agoragentic-premortem-golden-loop/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