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 GeonheeYe/multi-agent-dotfiles --skill test-driven-developmentgit clone --depth 1 https://github.com/GeonheeYe/multi-agent-dotfilesWrote 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/geonheeye/multi-agent-dotfiles/test-driven-development)<a href="https://agentmods.dev/skills/geonheeye/multi-agent-dotfiles/test-driven-development"><img src="https://agentmods.dev/badge/skills/geonheeye/multi-agent-dotfiles/test-driven-development/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/geonheeye/multi-agent-dotfiles/test-driven-development"><img src="https://agentmods.dev/badge/skills/geonheeye/multi-agent-dotfiles/test-driven-development.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 | $0.00017 | $0.02406 |
| Opus 5.5 | $0.00007 | $0.00962 |
| Sonnet 5.5 | $0.00003 | $0.00481 |
| Haiku 4.5 | $0.00002 | $0.00241 |
Grade A, and why
test-driven-development 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 1mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
1 file 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.
- 1mo ago First seen · 372 lines · 17 tokens per session scan A 7dee67b4af6b
test-driven-development is a skill published in the GitHub repository GeonheeYe/multi-agent-dotfiles (3 stars, last pushed 13d ago), with no licence file. It adds 17 tokens to every session and 2,406 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
write-plan
Write an implementation plan from a spec before touching code. Use when the user invokes write-plan with an existing spec and no interview, or when interview-plan hands off an assembled spec. Do not use to implement.
tdd
Canon test-driven development (specify, encode, fulfill) for the host project's test framework. Clarify specifications, one failing test at a time, minimal code to green, approval gates, kitchen-cleaning refactor when needed. Use for TDD, specify-encode-fulfill, or red-green-refactor sessions.
pn-writing-skills
Applies TDD to skill authoring: validation scenarios first, then SKILL.md. Use when creating new skills, editing existing skills, or verifying skills work before deployment.
pn-systematic-debugging
Root cause analysis with triage mode — Phase 0 feedback loop, investigate first, one question max, then isolate, hypothesize, confirm. Outputs TDD fix plan with RED-GREEN cycles; optional GitHub issue via GitHub MCP. Use when debugging a failure or bug.
pn-discipline-philosophy
Defines engineering discipline: test-first, root-cause before fix, minimal change, measure-before-optimize, review/second look, evidence over guess. Use when implementing features, debugging, planning, or establishing development practices. Aligns with TDD, systematic debugging, and RCA practices (current).
pn-tdd
Enforces test-driven development: RED-GREEN-REFACTOR; production code only after a failing test. Use when implementing features or fixes with TDD.