tdd-guide

tdd-guide is an agent for Claude Code from JSK9999/ai-nexus. It costs 42 tokens per session (1,852 once invoked), scanned A, original, Apache-2.0.

A Test-Driven Development guide for writing tests before implementation. TDD is a workflow of writing a failing test, making it pass, then improving the code.

In plain words
What is it for?
Use it for new features, bug fixes, and refactoring across unit, integration, and end-to-end tests.
Why use it?
It catches edge cases early and encourages measurable test coverage while features are built or bugs are fixed.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Install

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.

agentmods
npx agentmods add agents/jsk9999/ai-nexus/tdd-guide
Clone the repo
git clone --depth 1 https://github.com/JSK9999/ai-nexus

Made for: Claude Code.

Wrote 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.

agentmods badge for tdd-guide

README.md
[![agentmods](https://agentmods.dev/badge/agents/jsk9999/ai-nexus/tdd-guide.svg)](https://agentmods.dev/agents/jsk9999/ai-nexus/tdd-guide)
Your own site
<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="Measured on agentmods" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,852 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.01852
Opus 5 $0.00021 $0.00926
Sonnet 5 $0.00008 $0.00370
Haiku 4.5 $0.00004 $0.00185

Measured 5d ago against content hash 440acbf34caa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

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 5d 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.

config/agents/tdd-guide.md · 289 lines

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()
  })
})

Read the full file on GitHub · 289 lines

Changes

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.

  1. 5d ago First seen · 289 lines · 42 tokens per session scan A 440acbf34caa

Subscribe to this mod's changes

tdd-guide is an agent published in the GitHub repository JSK9999/ai-nexus (19 stars, last pushed 5mo 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. 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.

Related

Other agents, from other repositories

fixer

代码修复子智能体。与开发上下文完全隔离,从干净上下文接收 Bug 描述,执行完整的 TDD 修复协议(先复现→先写失败测试→修代码→CI通过→更新追踪台)。支持三种模式:①单Bug内联修复(被测试agent spawn)②全自动修复循环(读追踪台P0→P1→P2循环至收敛)③紧急P0热修复。所有修复信息通过文档传递。拥有完整终端权限:可执行测试、重启服务、运行 CI。由 bug-fix-loop-coordinator 或测试agent调用,或用户说「spawn fixer」「修复这个Bug」「全自动修复」时使用。.

TashanGKD/tashan-cursor-skills · 168 tokens

tdd-guide

Test-Driven Development specialist enforcing write-tests-first methodology. Use PROACTIVELY when writing new features, fixing bugs, or refactoring code. Ensures 80%+ test coverage.

sifxprime/kodelyth-ecc · 42 tokens

tdd-coach

Test-driven development specialist. Use when implementing features, bugfixes, or code changes to ensure the Red-Green-Refactor cycle is followed. Write tests first, watch them fail, then implement.

luisabwk/kraken · 46 tokens

test-engineer

Expert in testing, TDD, and test automation. Use for writing tests, improving coverage, debugging test failures. Triggers on test, spec, coverage, jest, pytest, playwright, e2e, unit test.

hoangatg/ai-agent-toolkit · 49 tokens

gem-implementer

TDD code implementation: features, bugs, refactoring. Never reviews own work.

github/awesome-copilot · 22 tokens

gem-browser-tester

E2E browser testing, UI/UX validation, visual regression.

mubaidr/gem-team · 19 tokens