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/joneqian/claude-skills-suiteWrote 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/commands/joneqian/claude-skills-suite/tdd)<a href="https://agentmods.dev/commands/joneqian/claude-skills-suite/tdd"><img src="https://agentmods.dev/badge/commands/joneqian/claude-skills-suite/tdd/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/commands/joneqian/claude-skills-suite/tdd"><img src="https://agentmods.dev/badge/commands/joneqian/claude-skills-suite/tdd.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 | $0.00028 | $0.02218 |
| Opus 5 | $0.00014 | $0.01109 |
| Sonnet 5 | $0.00006 | $0.00444 |
| Haiku 4.5 | $0.00003 | $0.00222 |
Grade A, and why
tdd 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 10d 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.
This is a copy
98% identical to tdd — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TDD Command
This command invokes the tdd-guide agent to enforce test-driven development methodology.
What This Command Does
- Scaffold Interfaces - Define types/interfaces first
- Generate Tests First - Write failing tests (RED)
- Implement Minimal Code - Write just enough to pass (GREEN)
- Refactor - Improve code while keeping tests green (REFACTOR)
- Verify Coverage - Ensure 80%+ test coverage
When to Use
Use /tdd when:
- Implementing new features
- Adding new functions/components
- Fixing bugs (write test that reproduces bug first)
- Refactoring existing code
- Building critical business logic
How It Works
The tdd-guide agent will:
- Define interfaces for inputs/outputs
- Write tests that will FAIL (because code doesn't exist yet)
- Run tests and verify they fail for the right reason
- Write minimal implementation to make tests pass
- Run tests and verify they pass
- Refactor code while keeping tests green
- Check coverage and add more tests if below 80%
TDD Cycle
RED → GREEN → REFACTOR → REPEAT
RED: Write a failing test
GREEN: Write minimal code to pass
REFACTOR: Improve code, keep tests passing
REPEAT: Next feature/scenario
Example Usage
User: /tdd I need a function to calculate market liquidity score
Agent (tdd-guide):
# TDD Session: Market Liquidity Score Calculator
## Step 1: Define Interface (SCAFFOLD)
```typescript
// lib/liquidity.ts
export interface MarketData {
totalVolume: number
bidAskSpread: number
activeTraders: number
lastTradeTime: Date
}
export function calculateLiquidityScore(market: MarketData): number {
// TODO: Implementation
throw new Error('Not implemented')
}
Step 2: Write Failing Test (RED)
// lib/liquidity.test.ts
import { calculateLiquidityScore } from './liquidity'
describe('calculateLiquidityScore', () => {
it('should return high score for liquid market', () => {
const market = {
totalVolume: 100000,
bidAskSpread: 0.01,
activeTraders: 500,
lastTradeTime: new Date()
}
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.
- 10d ago First seen · 327 lines · 28 tokens per session scan A 22d0772cc350
tdd is a command published in the GitHub repository joneqian/claude-skills-suite (32 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 2,218 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to tdd, differing in 22 lines, and is treated as a copy.
Other commands, from other repositories
bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD.
usage-add
PitWay: Accumulate measured planning or qa token usage onto a milestone.
dashboard
Generar dashboard HTML local con métricas de eficiencia del proyecto SDD.
hub-tdd
TDD workflow for MCP Hub implementation. Types → Tests (red) → Implementation (green) with git gates.
eval
Evaluate and improve one healthcare agent's system prompt. Run up to 5 iterations of: prepare fixed questions -> answer -> judge -> improve -> re-score -> commit if better.
tdd
A command that follows test-driven development (TDD), a method where you write tests before the code they check. It moves through writing a failing test, adding the smallest implementation, and then improving the code.