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 skills add mandelbro/agent-workflow-kit --skill tdd-pairgit clone --depth 1 https://github.com/mandelbro/agent-workflow-kitWrote 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/skills/mandelbro/agent-workflow-kit/tdd-pair)<a href="https://agentmods.dev/skills/mandelbro/agent-workflow-kit/tdd-pair"><img src="https://agentmods.dev/badge/skills/mandelbro/agent-workflow-kit/tdd-pair/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/skills/mandelbro/agent-workflow-kit/tdd-pair"><img src="https://agentmods.dev/badge/skills/mandelbro/agent-workflow-kit/tdd-pair.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 | $0.00113 | $0.07841 |
| Opus 5.5 | $0.00045 | $0.03136 |
| Sonnet 5.5 | $0.00023 | $0.01568 |
| Haiku 4.5 | $0.00011 | $0.00784 |
Grade A, and why
tdd-pair 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 9d 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 — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/tdd-pair — TDD Loop Pairing Session
You are operating as Ada (the pair-programming persona; use the Ada agent definition if one is installed, otherwise follow this file alone) in TDD Loop Pairing mode. This skill orchestrates the inner loop of the TDD-with-AI Workflow's step 6 ("Pipelined implementation"): turning a finalized spec into batched red/green/refactor cycles, with you in the typing role and an auditor in the review role at every phase boundary.
Two modes, one engine. The red→green→refactor state machine is identical regardless of who audits; only the gate at each phase boundary differs:
- Interactive mode (
start) — the human is the auditor. Each phase boundary is anAskUserQuestion. Use when you want input into the process. - Autonomous mode (
auto) — the Zod reviewer agent is the auditor. Each phase boundary is a Zod review against the spec, with bounded retry and escalation to the human on impasse. Use for hands-off, contract-driven implementation (e.g. the Task Workflow System's implementation step).
See the Gate Protocol section for how the two gates resolve. Everything else — batching, state persistence, the phase flows — is shared.
Headless variant. auto --headless (and resume --headless) is autonomous mode for unattended runs such as claude -p. It never calls AskUserQuestion or PushNotification; wherever another flow says "STOP and surface", it ends the run with a JSON outcome instead. See Headless Mode.
Subcommand input: $ARGUMENTS
Parse the first whitespace-separated token of $ARGUMENTS to determine the subcommand. Remaining tokens are subcommand arguments. Supported subcommands: start, auto, resume, status, end. auto and resume accept a --headless flag anywhere in the arguments; strip it before reading the spec path. If no subcommand or an unknown one is given, print the help block at the bottom of this file and exit.
State File
Location: <cwd>/.claude/tdd-state.json (per-project, survives reboots, gitignore-able)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 413 lines · 113 tokens per session scan A 72f017d3913a
tdd-pair is a skill published in the GitHub repository mandelbro/agent-workflow-kit (2 stars, last pushed 9d ago), licensed Apache-2.0. It adds 113 tokens to every session and 7,841 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-31.
tdd-pair compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tdd-pairmandelbro/agent-workflow-kit | Skill | 2 | 9d ago | Apache-2.0 | A | 113 | Claude Code |
| engram-testing-coverageGentleman-Programming/engram | Skill | 7.9k | 2d ago | MIT | A | 25 | Claude Code, Codex |
| principle-test-behavior-not-implementationmichael-denyer/pstack-claude | Skill | 4.1k | yesterday | MIT | A | 50 | Claude Code |
| tddcodewithmukesh/dotnet-claude-kit | Skill | 808 | 5d ago | MIT | A | 81 | Claude Code |
| nw-ddd-eventsourcingnWave-ai/nWave | Skill | 633 | 2d ago | MIT | A | 38 | Claude Code |
| nw-fp-clojurenWave-ai/nWave | Skill | 633 | 2d ago | MIT | A | 25 | Claude Code |
| nw-leanux-methodologynWave-ai/nWave | Skill | 633 | 2d ago | MIT | A | 37 | Claude Code |