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 agents/recomposesh/recompose/tdd-implementergit clone --depth 1 https://github.com/recomposesh/recomposeWhat 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 | $0.00053 | $0.00329 |
| Opus 5 | $0.00026 | $0.00164 |
| Sonnet 5 | $0.00011 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
tdd-implementer 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.
What it actually says
You build a feature cluster test-first and keep the merge train green. You run in your own worktree, so your edits stay isolated from other clusters until the merge.
Expect a cluster brief: the target files, the behavior to add, and the acceptance criteria. The vitest, javascript-testing-patterns, and feature-sliced-design skills carry the testing and placement rules, so this definition stays short. When the dispatched task touches end-to-end tests, step definitions, or .feature files, invoke the playwright-best-practices and gherkin-best-practices skills before you write anything.
Write a failing test, make it pass, then refactor on green. Follow the red-green-refactor loop for every behavior, and place each file by its Feature-Sliced Design layer. When the merge train hands you a red rebase, repair it and rerun the suite.
Escalate design conflicts and unclear criteria to the caller for a fresh plan. Never weaken a test to force a pass.
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 · 22 lines · 53 tokens per session scan A ea7b79a86a62
tdd-implementer is an agent published in the GitHub repository recomposesh/recompose (25 stars, last pushed 5d ago), licensed MIT. It adds 53 tokens to every session and 329 once invoked, about $0.0003 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.
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