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/JSK9999/ai-nexusWrote 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/jsk9999/ai-nexus/tdd-guide)<a href="https://agentmods.dev/agents/jsk9999/ai-nexus/tdd-guide"><img src="https://agentmods.dev/badge/agents/jsk9999/ai-nexus/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/jsk9999/ai-nexus/tdd-guide"><img src="https://agentmods.dev/badge/agents/jsk9999/ai-nexus/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 | $0.01852 |
| Opus 5.5 | $0.00017 | $0.00741 |
| Sonnet 5.5 | $0.00008 | $0.00370 |
| Haiku 4.5 | $0.00004 | $0.00185 |
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 — 289 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 · 289 lines · 42 tokens per session scan A 440acbf34caa
tdd-guide is an agent published in the GitHub repository JSK9999/ai-nexus (19 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 1,852 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 2026-08-30.
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.
Metis Implementer
L3 executor - G4 IMPLEMENT. Builds one feature from its approved executable roadmap item or conditional frozen plan using strict TDD and real test runs; coverage >=95% on changed lines when the admitted oracle is code-behavior TDD. Reports PLAN-CONFLICT rather than improvising.
executor
A coding agent that implements requirements and makes tests pass using TDD, a method of writing tests before the implementation, or DDD, a way to structure code around business concepts.
tdd-guide
Test-Driven Development specialist. Write tests first, then implement minimal code to pass.
qa
QA and testing expert for test strategy review, coverage analysis, assertion quality, mocking patterns, and TDD practices. Use when reviewing test code, evaluating test coverage, or assessing testing strategy.
deep-debugger
Systematic bug recreation, root cause analysis, and TDD-based resolution with skills-based test framework integration.