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/multiplex-ai/muggle-ai-teamsWrote 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/multiplex-ai/muggle-ai-teams/tdd)<a href="https://agentmods.dev/commands/multiplex-ai/muggle-ai-teams/tdd"><img src="https://agentmods.dev/badge/commands/multiplex-ai/muggle-ai-teams/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/multiplex-ai/muggle-ai-teams/tdd"><img src="https://agentmods.dev/badge/commands/multiplex-ai/muggle-ai-teams/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 | $0.02223 |
| Opus 5.5 | $0.00011 | $0.00889 |
| Sonnet 5.5 | $0.00006 | $0.00445 |
| 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 yesterday.
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
94% identical to tdd — 30 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 — 329 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.
- yesterday First seen · 329 lines · 28 tokens per session scan A 9f054ac6db11
tdd is a command published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 2,223 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to tdd, differing in 30 lines, and is treated as a copy.
Other commands, from other repositories
atdd
Start the ATDD workflow for a new feature. Optionally provide a feature description as an argument.
loop
Autonomous execution loop. Runs the TDD cycle repeatedly until all tasks in an epic are complete, with circuit breaker protection and PR workflow.
plan-eng-review
Engineering architecture gate — lock architecture, diagrams, edge cases, and test matrix before writing implementation code.
plan-execute
Execute a validated plan: worktree isolation, TDD scaffolding, level-based parallel agents, quality gate with smoke test, PR creation and merge. Handles everything through to merged PR.
desglosar
Dividir un blueprint técnico en tareas con TDD (RED→GREEN) y marcadores de paralelismo.
validar-spec
Validar la calidad y completitud de una especificación antes de planificar. Usa cuando el usuario dice "validar spec", "validate spec", "spec quality", "validar specs", "spec completeness", "checar specs", "check spec quality", "IEEE 29148", "spec verification". Valida que la spec esté completa y lista para…