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 commands/klh/speedy-claude/testgit clone --depth 1 https://github.com/klh/speedy-claudeWrote 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/commands/klh/speedy-claude/test)<a href="https://agentmods.dev/commands/klh/speedy-claude/test"><img src="https://agentmods.dev/badge/commands/klh/speedy-claude/test.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 | $0.00023 | $0.00197 |
| Opus 5 | $0.00012 | $0.00098 |
| Sonnet 5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
test 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.
This is a copy
100% identical to test — 10 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Invoke the test-driven-development skill. For Jest work, also use klh-testing-patterns.
For new features:
- Write tests that describe the expected behavior (they should FAIL)
- Implement the code to make them pass
- Refactor while keeping tests green
For bug fixes (Prove-It pattern):
- Write a test that reproduces the bug (must FAIL)
- Confirm the test fails
- Implement the fix — root cause only, no drive-by refactors
- Confirm the test passes
- Run the full test suite for regressions (
npm test/dotnet test— both allowlisted, no prompts)
For browser-related issues, use the browser-testing-with-devtools skill with the chrome-devtools MCP. Evidence before assertions: attach real command output when declaring anything green.
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 · +2 lines 0bf716cef453
- 5d ago First seen · 20 lines · 23 tokens per session scan A 62f72b64cfac
test is a command published in the GitHub repository klh/speedy-claude (11 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 197 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to test, differing in 10 lines, and is treated as a copy.
Other commands, from other repositories
tdd-requirements
TDD開発の要件整理を行います。機能要件を明確化し、テスト駆動開発のための準備を行います。.
pm-auto-design2dev
設計レビューから実装完了まで完全自動化（設計レビュー→作業計画→TDD実装）.
dashboard
Generar dashboard HTML local con métricas de eficiencia del proyecto SDD.
usage-add
PitWay: Accumulate measured planning or qa token usage onto a milestone.
hub-tdd
TDD workflow for MCP Hub implementation. Types → Tests (red) → Implementation (green) with git gates.
eval
Evaluate and improve one healthcare agent's system prompt. Run up to 5 iterations of: prepare fixed questions -> answer -> judge -> improve -> re-score -> commit if better.