tdd

A command that uses test-driven development (TDD), a method where tests are written before the code they check, for a specified task.

In plain words
What is it for?
Use it to implement the task provided in `$ARGUMENTS` while following a test-first workflow.
Why use it?
It gives implementation work a test-first process instead of leaving testing until the end.

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/noah-sheldon/ai-dev-kit/tdd
Clone the repo
git clone --depth 1 https://github.com/noah-sheldon/ai-dev-kit
Per session 5 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 27 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 $0.00005 $0.00027
Opus 5 $0.00003 $0.00014
Sonnet 5 $0.00001 $0.00005
Haiku 4.5 $0.00001 $0.00003

Measured 2d ago against content hash 7ba84965b922, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

.opencode/commands/tdd.md · 8 lines

What it actually says

Follow a test-first implementation workflow for: $ARGUMENTS

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. 2d ago First seen · 8 lines · 5 tokens per session scan A 7ba84965b922

Subscribe to this mod's changes

tdd is a command published in the GitHub repository noah-sheldon/ai-dev-kit (13 stars, last pushed 4mo ago), licensed MIT. It adds 5 tokens to every session and 27 once invoked, about $0.0000 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.