Testing logo

Testing

Organization
OdradekAI
testing

Use when testing a bundle-plugin locally before release — generating dev-marketplace environments, verifying component discovery, running hook smoke tests, and validating cross-platform readiness

Overview

PublisherOdradekAI
Repositorybundles-forge
Skill nametesting
Stars
227
Forks
13
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by OdradekAI on GitHub. Read the source before you install it.

Installation

Install the Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OdradekAI/bundles-forge/tree/main/skills/testing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OdradekAI/bundles-forge.git /tmp/bundles-forge
mkdir -p .claude/skills
cp -r /tmp/bundles-forge/skills/testing .claude/skills/testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Testing Bundle-Plugins

Overview

Dynamic verification of a bundle-plugin project: install it locally, confirm components are discoverable, validate hooks fire correctly, and run cross-platform smoke tests. Complements bundles-forge:auditing (static analysis) with runtime validation.

Core principle: Audit tells you if the structure is correct; testing tells you if it actually works.

Skill type: Flexible — adapt the test scope based on target platforms and project maturity.

Announce at start: "I'm using the testing skill to verify this plugin works correctly."

Step 1: Resolve Input & Detect Scope

Input Normalization

The target must be a local bundle-plugin project (has package.json + skills/). Remote URLs and archives are not supported — testing requires a local working directory.

Scope Detection

TargetMode
Project root with multiple platformsFull testing — all 5 test phases
Project root with single platformPlatform testing — phases 1-4 for the target platform
Single skill directorySkill-only testing — phase 3 (component discovery) only

Phase 1: Local Test Environment

Generate a temporary dev-marketplace for local installation testing.

For Claude Code

  1. Create ../dev-marketplace/ adjacent to the project directory
  2. Generate .claude-plugin/marketplace.json pointing to the project:
json
{
  "name": "<project-name>-dev",
  "owner": { "name": "dev" },
  "plugins": [
    {
      "name": "<project-name>",
      "source": "../<project-directory-name>"
    }
  ]
}
  1. Instruct the user:
Dev marketplace created at ../dev-marketplace/

To install locally:
  /plugin marketplace add ./dev-marketplace
  /plugin install <project-name>@<project-name>-dev

To reload after changes:
  /plugin marketplace update <project-name>-dev

To clean up when done:
  /plugin marketplace remove <project-name>-dev

For Cursor

Cursor plugins are installed from local paths directly:

To test locally in Cursor:
  1. Open Cursor Settings → Extensions → Install from Path
  2. Select the project root directory
  3. Reload Cursor to pick up changes

For Other Platforms

  • Codex: Symlink skills/ into ~/.agents/skills/ per INSTALL.md
  • OpenCode: Register the plugin path in .opencode/plugins/
  • Gemini CLI: Point the extension config to the local directory

See references/platform-test-guides.md for platform-specific setup instructions.


Phase 2: Hook Smoke Tests

Verify hooks execute without errors by running them directly.

SessionStart Hook

bash
bash hooks/session-start

Expected: Exits 0, prints a one-line prompt containing the project name and available skills. No stderr output.

Verify output format:

  • If CLAUDE_PLUGIN_ROOT is set: valid JSON with hookSpecificOutput.additionalContext
  • If CURSOR_PLUGIN_ROOT is set: valid JSON with additional_context
  • Neither: plain text

Custom Hooks (if configured)

If the project defines PreToolUse or PostToolUse hooks in hooks.json, run each referenced script directly and verify:

  • PreToolUse scripts: exit 0 on a valid project, exit 2 to block writes on critical issues
  • PostToolUse scripts: always exit 0, warnings go to stderr

OpenClaw Hook-Pack (if present)

Verify hooks/openclaw-bootstrap/HOOK.md has valid YAML frontmatter with events declaration, and handler.js uses ESM export default.


Phase 3: Component Discovery

Verify that all declared components can be found by the host platform.

Skills

For each directory under skills/:

  • Contains SKILL.md
  • Frontmatter has name and description
  • name matches directory name
  • description starts with "Use when..."

Agents

For each .md file under agents/:

  • Has YAML frontmatter
  • Body has 5+ non-empty lines (self-contained protocol)

Platform Manifests

For each target platform:

  • Manifest file exists and is valid JSON
  • Paths in manifest resolve to existing files/directories
  • Version matches package.json version

Phase 4: Cross-Platform Readiness

Generate a platform-specific test checklist based on references/platform-test-guides.md and known limitations from bundles-forge:scaffolding — references/platform-adapters.md.

Known Limitations to Verify

PlatformLimitationTest
Claude CodePlugin caching breaks ../ pathsVerify no ../ in hook commands or manifest paths
CursorBootstrap lost after /clearVerify session-start runs independently of prior context
CodexNo hook bootstrapVerify AGENTS.md or INSTALL.md has manual setup instructions
OpenCodePlugin JS must use ESMVerify export default in .opencode/plugins/*.js
Gemini CLIExtension needs contextFileNameVerify gemini-extension.json has contextFileName field
OpenClawHook-pack wiring uncertainDocument as known risk in test report

Phase 5: Test Report

Generate a test report summarizing all findings.

Report Structure

markdown
# Test Report: <project-name>

**Date:** YYYY-MM-DD
**Scope:** [Full / Platform / Skill-only]
**Platforms tested:** [list]

## Results

| Phase | Status | Details |
|-------|--------|---------|
| 1. Local Environment | PASS/FAIL/SKIP | ... |
| 2. Hook Smoke Tests | PASS/FAIL/SKIP | ... |
| 3. Component Discovery | PASS/FAIL/SKIP | N skills, K agents |
| 4. Cross-Platform | PASS/FAIL/SKIP | ... |

## Issues Found

### Critical
- (blocks release)

### Warnings
- (should fix before release)

## Recommendations

- ...

Report location: .bundles-forge/audits/<timestamp>-test-report.md


Integration with Releasing

In the releasing pipeline, testing runs after auditing and before version bump:

audit → test → version bump → publish

If testing reveals critical issues, the release pipeline is blocked until they are resolved.


Common Mistakes

MistakeFix
Skipping local install testAlways test with a real dev-marketplace — file discovery differs from file existence
Testing only on one platformRun cross-platform checklist for every target platform
Ignoring hook exit codesHooks must exit 0 to avoid blocking the host; test all code paths
Not cleaning up dev-marketplaceAlways remove dev-marketplace after testing
Testing after version bumpTest before bumping — avoid releasing a broken version

Inputs

  • project-directory (required) — bundle-plugin project root

Outputs

  • test-report — comprehensive test results written to .bundles-forge/audits/
  • dev-marketplace (temporary) — local marketplace directory for installation testing

Integration

Called by:

  • bundles-forge:releasing — pre-release dynamic verification (after audit, before version bump)
  • User directly — standalone local testing during development

Calls:

  • (none — testing is a pure executor, does not dispatch other skills)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Testing AI skill do?

Use when testing a bundle-plugin locally before release — generating dev-marketplace environments, verifying component discovery, running hook smoke tests, and validating cross-platform readiness

Why use Testing on TypingMind?

Because you install it once and use it with any model. Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OdradekAI/bundles-forge/tree/main/skills/testing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Testing?

As many as you like. As long as a model supports skills, you can use Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Testing AI skill free?

Yes. It is published on GitHub by OdradekAI under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇