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/ramboz/jig/tdd-loopnpx skills add ramboz/jig --skill tdd-loopgit clone --depth 1 https://github.com/ramboz/jigWrote 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/ramboz/jig/tdd-loop)<a href="https://agentmods.dev/skills/ramboz/jig/tdd-loop"><img src="https://agentmods.dev/badge/skills/ramboz/jig/tdd-loop.svg" alt="Measured on agentmods" 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 | $0.00125 | $0.02697 |
| Opus 5 | $0.00063 | $0.01349 |
| Sonnet 5 | $0.00025 | $0.00539 |
| Haiku 4.5 | $0.00013 | $0.00270 |
Grade A, and why
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 today.
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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec 006 promoted this skill from a dangling auto-install reference to an active skill. The deterministic runner detection + subprocess invocation live in
tdd.py; this SKILL.md drives the judgment layer.
What this skill does
Codifies the red-green-refactor loop that the implementer subagent
(agents/implementer.md) already encodes as "non-negotiable TDD discipline."
The skill:
- Detects the project's test runner from filesystem signals (one of
pytest,vitest,jest, or Node's built-innode --test). - Invokes the runner as a subprocess against a target, a focused
--test-path, or a single--testselector. - Streams the runner's stdout/stderr through to the caller — you see real output, not a swallowed summary.
- Normalizes the runner's native exit code so callers can branch
deterministically:
0— all green1— at least one red test (runner started but reported failure)2— could not detect a runner, OR the runner binary is missing
The red-green-refactor loop
- Red. Write a failing test for one acceptance criterion (or one
well-bounded behaviour). Run
tdd.py run <target>and confirm the new test is the only new failure — exit 1. - Green. Write the minimum implementation that makes the test pass.
Run
tdd.py run <target>again; expect exit 0. - Refactor. Clean up only after green. Re-run after each meaningful refactor; exit 0 must hold.
Stay in this loop one AC at a time. Do not write three tests and then three implementations — the loop's value is the tight feedback cycle.
When a test you did NOT just write goes red
The Green step above is about the new failing test you wrote for this AC — making it pass is the work. A pre-existing test going red is the opposite signal: it is a guard reporting that your change touched something load-bearing. The reflex to "make it green" is wrong here, and an agent is very good at satisfying it — deleting the assertion, loosening the expectation, or marking the test skipped all turn the light green while removing the protection.
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.
- today Changed · +14 lines b27746b44d23
- 3d ago First seen · 192 lines · 125 tokens per session scan A 7e754c47e208
tdd-loop is a skill published in the GitHub repository ramboz/jig (6 stars, last pushed 3d ago), licensed MIT. It adds 125 tokens to every session and 2,697 once invoked, about $0.0006 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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