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ai-architect-mcp-spec

ai-architect-mcp-spec is a plugin for Gemini CLI from cdeust/ai-architect-mcp-spec. Its token cost is not measured, scanned A, original, MIT.

A tool that checks whether a product requirements document (PRD)—a written plan for what software should do—follows a defined structure.

In plain words
What is it for?
It helps verify PRD layouts and audit requirements before development begins.
Why use it?
It removes guesswork from reviewing PRDs and gives consistent results when checking them.

Plugin for Gemini CLI

Written for Gemini CLI: a Gemini CLI extension manifest.

not rated 3repo +1 yesterday A scan tokens not measured original MIT

Good fit It helps verify PRD layouts and audit requirements before development begins.

Compare 6 plugins from other repositories ↓
Install with agentmods
npx agentmods add plugins/cdeust/ai-architect-mcp-spec/gemini-extension
View source ↗ cdeust/ai-architect-mcp-spec ai-architect.tools
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/cdeust/ai-architect-mcp-spec

Made for: Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-architect-mcp-spec

README.md
[![agentmods](https://agentmods.dev/badge/plugins/cdeust/ai-architect-mcp-spec/gemini-extension.svg)](https://agentmods.dev/plugins/cdeust/ai-architect-mcp-spec/gemini-extension)
Your own site
<a href="https://agentmods.dev/plugins/cdeust/ai-architect-mcp-spec/gemini-extension"><img src="https://agentmods.dev/badge/plugins/cdeust/ai-architect-mcp-spec/gemini-extension.svg" alt="Measured on agentmods" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

ai-architect-mcp-spec scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

gemini-extension.json · 16 lines

What it actually says

{
  "name": "ai-architect-mcp-spec",
  "version": "0.8.0",
  "description": "Deterministic PRD structure verification with two MCP tools and shared audit skills.",
  "mcpServers": {
    "prd-spec-verifier": {
      "command": "node",
      "args": [
        "${extensionPath}/mcp-server/index.js",
        "--profile",
        "verifier"
      ]
    }
  }
}
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 16 lines scan A 7725dadc10b9

Subscribe to this mod's changes

ai-architect-mcp-spec is a plugin published in the GitHub repository cdeust/ai-architect-mcp-spec (3 stars, last pushed yesterday), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-06.

Planningai-architectllm-toolsmcpmcp-servermulti-judge
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