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.
npx agentmods add skills/redhuntlabs/wizard/dev-tdd-loopnpx skills add redhuntlabs/wizard --skill dev-tdd-loopgit clone --depth 1 https://github.com/redhuntlabs/wizardWhat 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 | $0.00029 | $0.01234 |
| Opus 5 | $0.00015 | $0.00617 |
| Sonnet 5 | $0.00006 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
dev-tdd-loop 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dev TDD Loop
What this does
The default chain for shipping any non-trivial dev feature. Runs four bundled spells in sequence: brainstorm the approach, write the implementation plan, execute step-by-step with per-step verification, and run a final verification pass before declaring "done." Equivalent in spirit to a TDD-rigorous engineering workflow.
When to use
- Shipping a feature beyond a one-line tweak
- Onboarding a team to a structured engineering workflow
- When "we shipped it but it broke" has happened more than once
- When the implementation will span more than a few hours
Do not use when
- Trivial fix (typo, copy change, single-line guard)
- Pure exploration / spike — use it AFTER the spike, when productionizing
- Emergency hotfix where the verification step happens via post-mortem instead
What you bring (Inputs)
- A feature request, ticket, or one-line description
- Codebase access
- A definition of "shipped" (deploy, merge to main, release tag, etc.)
What you get (Output)
- A brainstorm document
- An implementation plan with per-step verifications
- The implemented feature with all step verifications passing
- A verification pass against acceptance criteria, completed before shipping
How it works (Steps)
This is a chain of 4 spells. Each stage hands an artifact to the next.
Stages
Stage 1: Brainstorm (brainstorming-a-feature)
- Skill:
brainstorming-a-feature - Input: feature request
- Output handoff: brainstorm doc with sharp problem statement, 3-5 candidate approaches, recommendation, alternative considered, top assumptions
- Gate: problem statement passes the "stranger could understand it" test; alternative is plausible
Stage 2: Plan (writing-an-implementation-plan)
- Skill:
writing-an-implementation-plan - Input: chosen approach from Stage 1
- Output handoff: implementation plan with file-level changes, ordering, per-step verifications, risks, acceptance criteria
- Gate: every step has explicit verification; another engineer could execute without clarifying questions
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.
- 2d ago First seen · 123 lines · 29 tokens per session scan A f87b49ddf5b3
dev-tdd-loop is a skill published in the GitHub repository redhuntlabs/wizard (9 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 1,234 once invoked, about $0.0001 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 2026-08-31.
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