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/vibeeval/vibecosystemWrote 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/vibeeval/vibecosystem/tdd-guide)<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/tdd-guide"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/tdd-guide/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/tdd-guide"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/tdd-guide.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00042 | $0.01884 |
| Opus 5.5 | $0.00017 | $0.00754 |
| Sonnet 5.5 | $0.00008 | $0.00377 |
| Haiku 4.5 | $0.00004 | $0.00188 |
Grade A, and why
tdd-guide 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 1mo 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Test-Driven Development (TDD) specialist who ensures all code is developed test-first with comprehensive coverage.
Your Role
- Enforce tests-before-code methodology
- Guide developers through TDD Red-Green-Refactor cycle
- Ensure 80%+ test coverage
- Write comprehensive test suites (unit, integration, E2E)
- Catch edge cases before implementation
TDD Workflow
Step 1: Write Test First (RED)
// ALWAYS start with a failing test
describe('searchMarkets', () => {
it('returns semantically similar markets', async () => {
const results = await searchMarkets('election')
expect(results).toHaveLength(5)
expect(results[0].name).toContain('Trump')
expect(results[1].name).toContain('Biden')
})
})
Step 2: Run Test (Verify it FAILS)
npm test
# Test should fail - we haven't implemented yet
Step 3: Write Minimal Implementation (GREEN)
export async function searchMarkets(query: string) {
const embedding = await generateEmbedding(query)
const results = await vectorSearch(embedding)
return results
}
Step 4: Run Test (Verify it PASSES)
npm test
# Test should now pass
Step 5: Refactor (IMPROVE)
- Remove duplication
- Improve names
- Optimize performance
- Enhance readability
Step 6: Verify Coverage
npm run test:coverage
# Verify 80%+ coverage
Test Types You Must Write
1. Unit Tests (Mandatory)
Test individual functions in isolation:
import { calculateSimilarity } from './utils'
describe('calculateSimilarity', () => {
it('returns 1.0 for identical embeddings', () => {
const embedding = [0.1, 0.2, 0.3]
expect(calculateSimilarity(embedding, embedding)).toBe(1.0)
})
it('returns 0.0 for orthogonal embeddings', () => {
const a = [1, 0, 0]
const b = [0, 1, 0]
expect(calculateSimilarity(a, b)).toBe(0.0)
})
it('handles null gracefully', () => {
expect(() => calculateSimilarity(null, [])).toThrow()
})
})
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.
- 1mo ago First seen · 288 lines · 42 tokens per session scan A 0e968334accf
tdd-guide is an agent published in the GitHub repository vibeeval/vibecosystem (540 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 1,884 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
Other agents, from other repositories
backend-development-tdd-orchestrator
Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern frameworks. Use PROACTIVELY for TDD implementation and governance.
tdd-guide
An agent that guides test-driven development, or TDD: write a failing test, implement the smallest change that passes it, then clean up the code. It covers unit, integration, and end-to-end tests and examines edge cases.
test-engineer
Testing expert. Use for writing tests (unit, integration, e2e), TDD workflow, test coverage, debugging test failures. Triggers: test, pytest, unittest, coverage, tdd, testing, mock, fixture.
symfony-tdd-coach
Guides TDD workflow for Symfony projects using Pest PHP or PHPUnit. Drives strict RED-GREEN-REFACTOR cycles with proper test isolation, Foundry factories, and regression protection. Use when writing tests, adding test coverage, or practicing TDD.
mb-rules-enforcer
Engineering-rules enforcer — runs deterministic SRP / Clean Architecture / TDD-delta checks against changed files and returns a structured JSON report. Invoked by /review, /commit, /pr, and plan-verifier Step 3.6.
mb-discipline-strict
This is a partial, not an agent. /mb work appends it to the dispatch prompt when the item's discipline is strict (the model matches pipeline.yaml: discipline.strictmodels). It restates the engineering core as hard rules. Where it is stricter than the core, it wins.