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typesafe-ai-implementation

v0.1.2

ChatGPT and Codex companion guide for building bounded Jev integrations in software.

CodexAgent Plugins1 Skill

By ngallodev-softwareLicense: Apache-2.01 GitHub starsUpdated 1 hour ago

Directory evidence

Runtimes
Codex and Agent Plugins
Parsed components
1 skill or MCP entry
Source updated
Sep 24, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install typesafe-ai-implementation for Codex

Installs for the current user
codex plugin marketplace add ngallodev-software/typesafe-ai-implementation-skill
codex plugin marketplace upgrade jev-implementation
codex plugin add typesafe-ai-implementation@jev-implementation

Paste and run these commands in a terminal with Codex. They add and refresh the jev-implementation catalog, then install this plugin.

Compatibility: the page URL and API slug “typesafe-ai-implementation” remain stable.

  • Codex: typesafe-ai-implementation@agent-plugin-marketplace → typesafe-ai-implementation@jev-implementation

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/ngallodev-software/typesafe-ai-implementation-skill

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/typesafe-ai-implementation/.

Plugin files

plugins/typesafe-ai-implementation/
├── .codex-plugin/plugin.json
├── plugin.json
└── skills/typesafe-ai-implementation/SKILL.md

Included Skills1

typesafe-ai-implementationskills/typesafe-ai-implementation/SKILL.md

Codex companion playbook for integrating TypeSafe AI / Jev into software. Use to find bounded semantic decisions in a codebase and implement an appropriately small integration while keeping application policy and deterministic authority in code. Consult current TypeSafe docs and SDKs for vendor contracts.

Plugin manifests2

plugins/typesafe-ai-implementation/.codex-plugin/plugin.json
{
  "name": "typesafe-ai-implementation",
  "version": "0.1.2",
  "description": "ChatGPT and Codex companion guide for building bounded Jev integrations in software.",
  "author": {
    "name": "ngallodev-software",
    "url": "https://github.com/ngallodev-software"
  },
  "skills": "./skills/",
  "interface": {
    "displayName": "Jev AI Implementation",
    "shortDescription": "Plan Jev code integrations",
    "longDescription": "An independent coding-agent guide for assessing an application, identifying a bounded semantic decision, and planning a focused TypeSafe AI / Jev integration. It includes offline Python and TypeScript scaffolds and keeps application policy, validation, and side effects in application code. It is not an official TypeSafe AI product and does not call the TypeSafe API. For current API behavior, consult TypeSafe's official agent skill, documentation, and SDK.",
    "developerName": "ngallodev-software",
    "category": "Developer Tools",
    "capabilities": [
      "Assess codebases for bounded Jev integration opportunities",
      "Generate minimal Python and TypeScript integration scaffolds"
    ],
    "composerIcon": "./assets/jev-plugin-icon.png",
    "logo": "./assets/jev-plugin-logo.png",
    "defaultPrompt": [
      "Review this codebase for one bounded Jev integration opportunity and propose a minimal implementation plan.",
      "Inspect this code for a semantic decision that could use Jev; distinguish it from deterministic rules.",
      "Use the Jev skill to scaffold a minimal Python or TypeScript integration after checking current TypeSafe docs."
    ]
  }
}
plugins/typesafe-ai-implementation/plugin.json
{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "typesafe-ai-implementation",
  "version": "0.1.2",
  "description": "ChatGPT and Codex companion guide for assessing and building bounded Jev integrations in software.",
  "author": {
    "name": "ngallodev-software",
    "url": "https://github.com/ngallodev-software"
  },
  "homepage": "https://github.com/ngallodev-software/typesafe-ai-implementation-skill",
  "repository": "https://github.com/ngallodev-software/typesafe-ai-implementation-skill",
  "license": "Apache-2.0",
  "keywords": [
    "TypeSafe AI",
    "Jev",
    "Codex",
    "ChatGPT",
    "semantic decisions"
  ],
  "extensions": {
    "com.openai": {
      "interface": {
        "displayName": "Jev AI Implementation",
        "shortDescription": "Plan Jev code integrations",
        "longDescription": "An independent coding-agent guide for assessing an application, identifying a bounded semantic decision, and planning a focused TypeSafe AI / Jev integration. It includes offline Python and TypeScript scaffolds and keeps application policy, validation, and side effects in application code. It is not an official TypeSafe AI product and does not call the TypeSafe API. For current API behavior, consult TypeSafe's official agent skill, documentation, and SDK.",
        "developerName": "ngallodev-software",
        "category": "Developer Tools",
        "capabilities": [
          "Assess codebases for bounded Jev integration opportunities",
          "Generate minimal Python and TypeScript integration scaffolds"
        ],
        "composerIcon": "./assets/jev-plugin-icon.png",
        "logo": "./assets/jev-plugin-logo.png",
        "defaultPrompt": [
          "Review this codebase for one bounded Jev integration opportunity and propose a minimal implementation plan.",
          "Inspect this code for a semantic decision that could use Jev; distinguish it from deterministic rules.",
          "Use the Jev skill to scaffold a minimal Python or TypeScript integration after checking current TypeSafe docs."
        ]
      }
    }
  }
}

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[typesafe-ai-implementation on Agent Plugins Marketplace](https://pluginsmp.com/plugins/typesafe-ai-implementation)