ordering-and-flakes

ordering-and-flakes is a skill for Claude Code from onsi/ginkgo. It costs 111 tokens per session (1,639 once invoked), scanned A, original, MIT.

Tools for controlling the order in which Ginkgo tests run and for repeating tests that may fail inconsistently. Ginkgo is a testing framework for Go.

In plain words
What is it for?
Use them to run tests serially or in a chosen order, share setup within ordered groups, repeat tests, and expose flaky behavior.
Why use it?
They help when tests share setup or resources, need a defined sequence, or sometimes pass and sometimes fail without code changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ginkgo plugin — 13 skills shipped together

Good fit Use them to run tests serially or in a chosen order, share setup within ordered groups, repeat tests, and expose flaky behavior.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/onsi/ginkgo/ordering-and-flakes
About the project

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.

onsi/ginkgo · 9,051 stars · on GitHub · onsi.github.io

Install

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.

Any agent
npx skills add onsi/ginkgo --skill ordering-and-flakes
Clone the repo
git clone --depth 1 https://github.com/onsi/ginkgo

Made for: Claude Code.

Or install ginkgo, the plugin that ships this one along with the rest of its 13 skills.

Wrote 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.

agentmods badge for ordering-and-flakes

README.md
[![agentmods](https://agentmods.dev/badge/skills/onsi/ginkgo/ordering-and-flakes/github.svg)](https://agentmods.dev/skills/onsi/ginkgo/ordering-and-flakes)
Your own site
<a href="https://agentmods.dev/skills/onsi/ginkgo/ordering-and-flakes"><img src="https://agentmods.dev/badge/skills/onsi/ginkgo/ordering-and-flakes/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.

agentmods 80×15 button for ordering-and-flakes

Your own site · 80×15
<a href="https://agentmods.dev/skills/onsi/ginkgo/ordering-and-flakes"><img src="https://agentmods.dev/badge/skills/onsi/ginkgo/ordering-and-flakes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,639 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 83
    Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.
    Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.01639
Opus 5 $0.00056 $0.00820
Sonnet 5 $0.00022 $0.00328
Haiku 4.5 $0.00011 $0.00164

Measured 9d ago against content hash 493d36508871, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ordering-and-flakes 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.

plugins/ginkgo/skills/ordering-and-flakes/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ordering and flakes

Two topics that share a root cause: specs that aren't truly independent (ginkgo:overview). Ordering decorators let you declare a dependency on purpose; flake controls let you manage or expose one. Docs: https://onsi.github.io/ginkgo/#serial-specs, https://onsi.github.io/ginkgo/#ordered-containers, https://onsi.github.io/ginkgo/#repeating-spec-runs-and-managing-flaky-specs.

Serial: opt out of parallelism

Serial (container or subject) guarantees a spec never runs in parallel with anything else. Under the hood Ginkgo runs serial specs last, on process #1, after all other processes have exited. Reach for it sparingly. OK for benchmarks, resource hogs, or specs that put an external resource into a known-bad state - but not OK as a band-aid for order-dependence or poorly isolated code/specs.

Describe("Something expensive", Serial, func() {
	It("is a resource hog that can't share the box", func() { ... })
})

ginkgo:decorators, ginkgo:parallelism.

Ordered: run specs in definition order

Ordered (container only) guarantees its child specs run sequentially, in written order, on one process — so they may legitimately mutate shared closure state. They can still parallelize against specs in other containers; only the inner order is pinned.

Describe("checking out a book", Ordered, func() {
	var libraryClient *library.Client
	var book *books.Book

	BeforeAll(func() {                         // once, before the first spec
		libraryClient = library.NewClient()
		Expect(libraryClient.Connect()).To(Succeed())
		DeferCleanup(libraryClient.Disconnect) // context-aware: behaves like AfterAll
	})

	It("can fetch a book", func() { book, _ = libraryClient.FetchByTitle("Les Miserables") })
	It("can check it out", func() { Expect(library.CheckOut(book)).To(Succeed()) })
	It("is then out of stock", func() { ... })

	AfterAll(func() { ... })                   // once, after the last spec
})
  • BeforeAll/AfterAll are legal only inside an Ordered container (or a container nested within one). That's the whole point of Ordered — once-per-group expensive setup.
  • A failing spec skips the rest of the group by default (then AfterAll still runs). Spec independence is gone, so Ginkgo won't pretend the later specs are meaningful.
  • ContinueOnFailure (outermost Ordered only — error on a nested container) overrides that: keep running later specs after a failure. Use it when Ordered is just shared setup, not a dependent flow. A failed BeforeAll still skips everything — the setup is presumed broken.
  • Nested containers inside an Ordered container are automatically Ordered; there's no way to un-order them.

Read the full file on GitHub · 104 lines

Changes

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.

  1. 9d ago First seen · 104 lines · 111 tokens per session scan A 493d36508871

Subscribe to this mod's changes

ordering-and-flakes is a skill published in the GitHub repository onsi/ginkgo (9,051 stars, last pushed 28d ago), licensed MIT. It adds 111 tokens to every session and 1,639 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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