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/d-o-hub/github-template-ai-agents/testgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/test)<a href="https://agentmods.dev/commands/d-o-hub/github-template-ai-agents/test"><img src="https://agentmods.dev/badge/commands/d-o-hub/github-template-ai-agents/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 | $0.00000 | $0.00133 |
| Opus 5 | $0.00000 | $0.00067 |
| Sonnet 5 | $0.00000 | $0.00027 |
| Haiku 4.5 | $0.00000 | $0.00013 |
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 yesterday.
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
81% identical to test — 13 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
description = "Run TDD workflow — write failing tests, implement, verify. For bugs, use the Prove-It pattern." prompt = """ Invoke the testing-strategy skill or test-runner skill. 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
- Confirm the test passes
- Run the full test suite for regressions """
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.
- yesterday First seen · 15 lines · 0 tokens per session scan A d86a622fb94e
test is a command published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 133 tokens. A static security scan graded it A with 0 findings. It is 81% identical to test, differing in 13 lines, and is treated as a copy.
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