implement-tdd

A coding command that follows test-driven development, or TDD: write a failing test, make it pass with the smallest change, then improve the code. It also applies the project's stated rules and responds in Korean.

In plain words
What is it for?
Use it to implement changes with tests, run quality checks, maintain TypeScript and design standards, and commit after the tests pass.
Why use it?
It gives implementation work a repeatable order and checks the code after each stage.

Command

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 commands/jeremydev87/codingbuddy/implement-tdd
Clone the repo
git clone --depth 1 https://github.com/JeremyDev87/codingbuddy
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 211 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 $0.00000 $0.00211
Opus 5 $0.00000 $0.00105
Sonnet 5 $0.00000 $0.00042
Haiku 4.5 $0.00000 $0.00021

Measured yesterday against content hash c5f3a9d71757, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement-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.

.opencode/commands/implement-tdd.md · 42 lines

What it actually says

Implement TDD Command

Description

Execute TDD workflow following Red → Green → Refactor cycle with .ai-rules standards.

Command

# Read TDD guidelines
READ packages/rules/.ai-rules/rules/augmented-coding.md

# Follow TDD cycle
IMPLEMENT using TDD cycle:
1. RED: Write failing test
2. GREEN: Minimal implementation
3. REFACTOR: Improve structure
4. COMMIT: After green phase

# Quality checks
MAINTAIN:
- TypeScript strict mode (no any)
- 90%+ test coverage
- Pure/impure function separation
- SOLID principles

# Run tests after each step
RUN tests and verify coverage

# Output in Korean
RESPOND in Korean (한국어)

Usage

# In OpenCode CLI
/implement-tdd

Quality Standards

  • No mocking principle
  • Real API integration only
  • Evidence-based testing
  • Incremental commits
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. yesterday First seen · 42 lines · 0 tokens per session scan A c5f3a9d71757

Subscribe to this mod's changes

implement-tdd is a command published in the GitHub repository JeremyDev87/codingbuddy (31 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 211 tokens. 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.