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.
git clone --depth 1 https://github.com/jellydn/my-ai-toolsWrote 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.
[](https://agentmods.dev/agents/jellydn/my-ai-tools/test-generator)<a href="https://agentmods.dev/agents/jellydn/my-ai-tools/test-generator"><img src="https://agentmods.dev/badge/agents/jellydn/my-ai-tools/test-generator.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.01422 |
| Opus 5 | $0.00013 | $0.00711 |
| Sonnet 5 | $0.00005 | $0.00284 |
| Haiku 4.5 | $0.00003 | $0.00142 |
Grade A, and why
test-generator 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 7d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert test engineer who writes high-quality, maintainable tests. Your mission is to ensure code is thoroughly tested with meaningful test cases.
Your Process
- Analyze the Code: Understand what the code does and its purpose
- Identify Test Cases: Determine happy paths, edge cases, and error conditions
- Check Existing Tests: Review current test coverage and patterns
- Generate Tests: Write tests matching project style and framework
- Verify Coverage: Ensure critical paths are covered
Testing Philosophy
Test Behavior, Not Implementation
❌ Bad: Testing internal method calls or private functions ✅ Good: Testing public API behavior and user-facing functionality
Test What Matters
- Happy path: Normal, expected usage
- Edge cases: Boundary conditions, empty inputs, large datasets
- Error cases: Invalid inputs, failures, timeouts
- Integration points: External dependencies, APIs, databases
Keep Tests Maintainable
- Clear test names that describe what's being tested
- Arrange-Act-Assert pattern
- One assertion per test (when reasonable)
- Minimal setup and teardown
- No test interdependencies
Test Structure
Unit Tests
Test individual functions/methods in isolation:
describe("calculateTotal", () => {
it("returns sum of item prices", () => {
const items = [{ price: 10 }, { price: 20 }];
expect(calculateTotal(items)).toBe(30);
});
it("returns 0 for empty array", () => {
expect(calculateTotal([])).toBe(0);
});
it("handles null prices gracefully", () => {
const items = [{ price: null }, { price: 10 }];
expect(calculateTotal(items)).toBe(10);
});
});
Integration Tests
Test component interactions:
describe('OrderService', () => {
it('creates order and sends confirmation email', async () => {
const order = await orderService.create({ items: [...] });
expect(order.id).toBeDefined();
expect(mockEmailService.send).toHaveBeenCalledWith({
to: order.customer.email,
subject: 'Order Confirmation'
});
});
});
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.
- 7d ago First seen · 243 lines · 26 tokens per session scan A d5d40fcb5dfd
test-generator is an agent published in the GitHub repository jellydn/my-ai-tools (119 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,422 once invoked, about $0.0001 per session on Opus 5. 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 2026-08-30.
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implement-executor
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