Ginkgo is a Go testing framework for writing organized, expressive specifications, including unit, integration, and performance tests. Go developers use it with the Gomega matcher library to describe behavior and run test suites.
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 onsi/ginkgo --skill writing-specsgit clone --depth 1 https://github.com/onsi/ginkgoWrote 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/onsi/ginkgo/writing-specs)<a href="https://agentmods.dev/skills/onsi/ginkgo/writing-specs"><img src="https://agentmods.dev/badge/skills/onsi/ginkgo/writing-specs.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00120 | $0.02039 |
| Opus 5 | $0.00060 | $0.01019 |
| Sonnet 5 | $0.00024 | $0.00408 |
| Haiku 4.5 | $0.00012 | $0.00204 |
Grade A, and why
writing-specs 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Ginkgo specs
Assumes Ginkgo is wired into the suite (ginkgo:setup) and you know the two-phase model (ginkgo:overview). Docs: https://onsi.github.io/ginkgo/#writing-specs.
The shape of a spec
var _ = Describe("Books", func() {
var book *books.Book // declare here...
BeforeEach(func() {
book = &books.Book{ // ...initialize here, fresh per spec
Title: "Les Miserables",
Author: "Victor Hugo",
Pages: 2783,
}
Expect(book.IsValid()).To(BeTrue()) // assertions in setup are fine
})
Describe("categorizing", func() {
Context("with more than 300 pages", func() {
It("is a novel", func() {
Expect(book.Category()).To(Equal(books.CategoryNovel))
})
})
})
})
- Containers (
Describe/Context/When) organize; they're identical — pick the one that reads as a sentence. Subjects (It/Specify) hold the assertions; one spec runs perIt. - The spec's full name is the concatenation of every container text plus the
Ittext — write them to read as a phrase.
The rule that prevents most bugs: declare in container, initialize in setup
Container bodies run once, at tree-construction time (ginkgo:overview). So:
- Declare shared variables in the container body (
var book *books.Book). - Initialize them in
BeforeEachso each spec gets a clean copy.
// WRONG — runs once at construction; every spec shares & pollutes one book
var _ = Describe("Books", func() {
book := &books.Book{Pages: 2783} // initialized at construction time
It("mutates", func() { book.Pages = 0 })
It("expects 2783", func() { Expect(book.Pages).To(Equal(2783)) }) // flaky under randomization
})
The same trap explains: no assertions in container bodies (they fire at construction, with no spec active) and no expensive/stateful work in container bodies. If you see logic directly inside a Describe/Context/When body, it almost always belongs in a BeforeEach.
Setup and cleanup nodes — and their ordering
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.
- 9d ago First seen · 155 lines · 120 tokens per session scan A 45acbd3bd354
writing-specs is a skill published in the GitHub repository onsi/ginkgo (9,051 stars, last pushed 28d ago), licensed MIT. It adds 120 tokens to every session and 2,039 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 2026-08-30.
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