testing-strategy

testing-strategy is a skill for Claude Code, Codex from Insajin/autopus-adk. It costs 20 tokens per session (1,480 once invoked), scanned A, original, MIT.

A testing guide that explains how to combine unit, integration, contract, and end-to-end tests. End-to-end tests check complete user flows, while integration tests check components working together.

In plain words
What is it for?
Use it to plan test coverage for databases, HTTP APIs, and critical application workflows.
Why use it?
It helps teams choose the right test level and avoid relying only on narrow unit tests.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan test coverage for databases, HTTP APIs, and critical application workflows.

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Install with agentmods
npx agentmods add skills/insajin/autopus-adk/testing-strategy
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 Insajin/autopus-adk --skill testing-strategy
Clone the repo
git clone --depth 1 https://github.com/Insajin/autopus-adk

Made for: Claude Code, Codex.

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 testing-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/insajin/autopus-adk/testing-strategy.svg)](https://agentmods.dev/skills/insajin/autopus-adk/testing-strategy)
Your own site
<a href="https://agentmods.dev/skills/insajin/autopus-adk/testing-strategy"><img src="https://agentmods.dev/badge/skills/insajin/autopus-adk/testing-strategy.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,480 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 pass 7 Sept 2026
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 $0.00020 $0.01480
Opus 5 $0.00010 $0.00740
Sonnet 5 $0.00004 $0.00296
Haiku 4.5 $0.00002 $0.00148

Measured 4d ago against content hash ef0e448a28c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

testing-strategy 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.

.omp/skills/testing-strategy/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Testing Strategy Skill

단위 테스트를 넘어 통합/E2E/계약 테스트를 설계하는 스킬입니다.

테스트 피라미드

        /  E2E  \        ← 적게, 핵심 플로우만
       /  통합   \       ← 중간, 컴포넌트 간 연동
      /   단위    \      ← 많이, 빠르고 격리
계층 비중 속도 범위
단위 70% 빠름 (ms) 함수/메서드
통합 20% 중간 (s) 컴포넌트 간
E2E 10% 느림 (min) 전체 시스템

통합 테스트

데이터베이스 통합

func TestUserRepo_Integration(t *testing.T) {
    if testing.Short() {
        t.Skip("통합 테스트 건너뜀")
    }
    db := setupTestDB(t)
    defer db.Close()

    repo := NewUserRepo(db)
    user, err := repo.Create(ctx, &User{Name: "test"})
    require.NoError(t, err)

    found, err := repo.FindByID(ctx, user.ID)
    require.NoError(t, err)
    assert.Equal(t, "test", found.Name)
}

HTTP API 통합

func TestAPI_CreateUser(t *testing.T) {
    srv := setupTestServer(t)
    defer srv.Close()

    resp, err := http.Post(srv.URL+"/api/v1/users",
        "application/json",
        strings.NewReader(`{"name":"test"}`))
    require.NoError(t, err)
    assert.Equal(t, http.StatusCreated, resp.StatusCode)
}

E2E 테스트

핵심 플로우만 테스트

사용자 등록 → 로그인 → 리소스 생성 → 조회 → 삭제

QAMESH Source Guidance

  • QAMESH is the default project QA orchestration layer. Playwright is not a competing mode; when detected, it is registered as a browser/gui Journey runner adapter.
  • Ask users to choose the project under test, execution authority, environment/origin, credentials boundary, mobile/cloud device boundary, or explicit canary command. Do not ask them to choose between QAMESH and Playwright.
  • Use auto qa init --format json as the simple default release-QA setup command for arbitrary projects. It creates project-local starter Journey Packs plus a generic GitHub Actions QAMESH release gate.
  • Use auto qa init --local-only --format json when only Journey Pack starters are needed. Review generated commands, env, installer version, and required-gate policy before trusting the workflow.
  • Use auto qa plan --format json before project-level QA execution to inspect Journey Packs, detected adapters, selected lanes, setup gaps, and output paths without running commands.
  • Use auto canary only for post-deploy smoke/status verification. QAMESH owns deterministic user journey evidence, redacted artifacts, run indexes, and repair feedback; auto qa release treats canary-explicit as a bridge lane for an explicit post-deploy smoke Journey Pack.
  • Use auto qa run --format json when deterministic project QA should execute and produce QAMESH run/evidence output.
  • Use auto qa explore --dry-run --format json before GUI exploration; execute it only for explicit local/staging Journey Packs with allowed origins, forbidden actions, deterministic oracles, and redacted artifact retention.
  • Use auto qa scenario compile --format json to turn project-declared user scenarios in .autopus/qa/scenarios/*.yaml into Playwright specs; the step vocabulary is read-only by construction, so a compiled scenario cannot trip the GUI forbidden-action guard.
  • Use auto qa release --dry-run --format json to inspect the fixed release lane set, setup gaps, blocker matrix, redacted command previews, and sibling SPEC readiness before launch gates; use auto qa release --roadmap --format json for the canonical roadmap surface.
  • Use auto qa evidence when an external producer already wrote a QAMESH manifest and the task is validation, redaction, and publication.
  • Use auto qa feedback to turn existing failed QAMESH evidence into provider-specific repair prompt bundles.
  • ADK is a harness: each concrete Journey Pack is a project-local Journey Pack under .autopus/qa/journeys/**, while ADK owns adapters, execution, redaction, and feedback plumbing.

Read the full file on GitHub · 142 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 · 142 lines · 20 tokens per session scan A ef0e448a28c1

Subscribe to this mod's changes

testing-strategy is a skill published in the GitHub repository Insajin/autopus-adk (110 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 1,480 once invoked, about $0.0001 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 2026-09-03.

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