overview

overview is a skill for Claude Code, Codex from onsi/gomega. It costs 104 tokens per session (1,229 once invoked), scanned A, original, MIT.

An introduction to Gomega, a Go library for writing checks in tests, including its Expect and matcher style. It also explains synchronous checks and checks that wait for a condition.

In plain words
What is it for?
Use it when writing or reviewing Go tests with Gomega or the Ginkgo test framework.
Why use it?
It helps developers understand the library's basic way of expressing expected results before using its more specialized parts.

Skill for Claude CodeCodex

Part of the gomega plugin — 12 skills shipped together

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.

agentmods
npx agentmods add skills/onsi/gomega/overview
Any agent
npx skills add onsi/gomega --skill overview
Clone the repo
git clone --depth 1 https://github.com/onsi/gomega

Made for: Claude Code, Codex.

Or install gomega, the plugin that ships this one along with the rest of its 12 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 overview

README.md
[![agentmods](https://agentmods.dev/badge/skills/onsi/gomega/overview.svg)](https://agentmods.dev/skills/onsi/gomega/overview)
Your own site
<a href="https://agentmods.dev/skills/onsi/gomega/overview"><img src="https://agentmods.dev/badge/skills/onsi/gomega/overview.svg" alt="Measured on agentmods" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,229 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00104 $0.01229
Opus 5 $0.00052 $0.00615
Sonnet 5 $0.00021 $0.00246
Haiku 4.5 $0.00010 $0.00123

Measured 4d ago against content hash f2de6ca400ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

overview 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 4d 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/gomega/skills/overview/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gomega: the mental model

Gomega is a matcher/assertion library for Go. It pairs best with the Ginkgo test framework but works with any Go test. The canonical narrative docs at https://onsi.github.io/gomega/ are the source of truth; this skill is the orientation and the other skills go deep.

Conventionally you dot-import Gomega so Expect, Equal, Eventually, etc. are unqualified:

import (
	. "github.com/onsi/gomega"
	. "github.com/onsi/ginkgo/v2" // if using Ginkgo
)

The shape of every assertion

Expect(ACTUAL).To(MATCHER)        //  Expect(x).To(Equal(3))
Expect(ACTUAL).NotTo(MATCHER)
  • ACTUAL (left) is anything — the value under test.
  • MATCHER (right) must satisfy the GomegaMatcher interface. Gomega's matchers (Equal(3), HaveLen(2), …) are just functions that return a matcher value — so you can store, pass, and compose them. → gomega:matchers, gomega:composing-matchers.
  • Ω(ACTUAL).Should(MATCHER) / .ShouldNot(...) is the exact equivalent in the Ω notation (⌥z on macOS). To/Should and NotTo/ToNot/ShouldNot are interchangeable syntactic sugar — pick one notation and stay consistent.

Three things to internalize

1. The multi-return error idiom. Expect/Ω accept multiple arguments; the match runs against the first, and fails unless all later arguments are nil/zero. This collapses Go's (value, error) pattern:

Expect(DoSomethingHard()).To(Equal("foo"))   // passes only if return is ("foo", nil)
Expect(DoSomethingSimple()).To(Succeed())     // for funcs returning only error

Use .Error() to assert on the trailing error of a multi-return func while ignoring the rest. → gomega:assertions.

2. Failures go through a fail handler. Gomega calls a registered handler on failure. With Ginkgo, RegisterFailHandler(Fail) (auto-generated by ginkgo bootstrap). With plain testing, use g := NewWithT(t) and call g.Expect(...). → gomega:assertions.

Read the full file on GitHub · 66 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. 4d ago First seen · 66 lines · 104 tokens per session scan A f2de6ca400ee

Subscribe to this mod's changes

overview is a skill published in the GitHub repository onsi/gomega (2,356 stars, last pushed 7d ago), licensed MIT. It adds 104 tokens to every session and 1,229 once invoked, about $0.0005 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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