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 HoangNguyen0403/agent-skills-standard --skill quality-engineering-test-plan-authoringgit clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/quality-engineering-test-plan-authoring)<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-test-plan-authoring"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-test-plan-authoring/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.
<a href="https://agentmods.dev/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-test-plan-authoring"><img src="https://agentmods.dev/badge/skills/hoangnguyen0403/agent-skills-standard/quality-engineering-test-plan-authoring.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00045 | $0.00966 |
| Opus 5.5 | $0.00018 | $0.00386 |
| Sonnet 5.5 | $0.00009 | $0.00193 |
| Haiku 4.5 | $0.00005 | $0.00097 |
Grade A, and why
quality-engineering-test-plan-authoring 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 today.
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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Engineering: Test Plan Authoring
Priority: P1 (HIGH)
Input
AC-* IDs and SRS lanes (unit/integration/E2E-web/E2E-mobile/API) from the approved PRD/SRS. Trace across 4 V-Model pairings (Requirements <-> Acceptance, System Design <-> System, Architecture/API <-> Integration, Module <-> Unit) before execution. Never derive scenarios from reading code.
Output
docs/srs/test-plan-[slug].md (and specs/[slug].md). Each scenario block: Steps, Expected, @AC-n tag, priority, exactly one lane (web|ios|android|api). Web uses Playwright locators; API follows C2 contract (purpose, principal, setup/reset, dependency mode, expected vs forbidden effects, bounds, observed state, evidence); Mobile follows C6 contract (app stack distinct from runner/driver, build artifact digest, OS/device matrix, permissions, lifecycle, install/upgrade state, observed state, evidence). One scenario covers one AC condition in exactly one lane. Unavailable selected capabilities are marked BLOCKED, never N/A.
STLC Lifecycle & Roles
Connects the 6 STLC stages (Requirement Analysis, Test Planning, Test Case/Data Dev, Environment Setup, Execution/Retest, Cycle Closure) and maps 9 QA roles (Requirement Review, Test-Case Generation, API Contract Review, Automation Review, Failure Triage, Flaky Analysis, Defect Drafting, Regression Selection, Release Summary). See references/lifecycle-and-roles.md. Case dev and environment setup may run concurrently.
Seed, Selector Gaps & Reset
tests/seed.spec.ts (or platform equivalent) carries shared prerequisites (auth/navigation, no assertions). Selector Gaps follow <screen>-<element>-<role>. Data & Reset defines scenario-specific state fixtures and state preservation; no blanket data wipe or fullReset before verification and failure evidence are secured.
Scenario Classes & Closure
Each AC condition expands to P (positive), N (negative), and E (edge). Classes differ by precondition or input, not phrasing. Every Expected cites its AC/rule or is tagged ASSUMED. On HALT triggers, stop and ask (HALT: <trigger>). Closure records executed/blocked counts, open defect ledger, and residual risk. Technical PASS validates contract criteria only; it never replaces human UAT signoff (uat-signoff) or release approval (deploy-release).
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- LICENSE 1.0 KB
- references/ac-scenario-mapping.md 469 B
- references/golden-requirements.md 3.2 KB
- references/lifecycle-and-roles.md 9.4 KB
- references/mobile-lane-matrix.md 552 B
- references/playwright-agents-artifacts.md 872 B
- references/scenario-expansion.md 3.2 KB
- references/test-plan-template.md 7.3 KB
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.
- today Changed · -13 lines 0fed085586b5
- 1mo ago Changed · +9 lines 3db21cddac76
- 1mo ago First seen · 69 lines · 45 tokens per session scan A 08322b2b92d4
quality-engineering-test-plan-authoring is a skill published in the GitHub repository HoangNguyen0403/agent-skills-standard (582 stars, last pushed today), licensed MIT. It adds 45 tokens to every session and 966 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-07.
Other skills, from other repositories
verify
Build/launch/drive recipe for verifying apps/docs changes at runtime (demos, docs pages, llms.txt).
browser-automation
Playwright browser automation via MCP. Covers E2E testing, UI review, web scraping, screenshot capture, and general browser interaction. MCP-first — CLI is fallback only.
mobile-testing
Mobile E2E testing patterns — Flutter integrationtest, Patrol, Maestro, golden testing, device matrix, and test data management. Use when writing E2E tests for mobile applications.
test-e2e
Plans, authors, and executes end-to-end tests for mobile and web platforms. User-invoked entry point via /test-e2e; not for autonomous or subagent use.
test-integration
Audits I/O adapters, sets up test infrastructure, and systematically improves integration test coverage. User-invoked entry point via /test-integration; not for autonomous or subagent use.
patrol-e2e-testing
Use when writing E2E/integration tests, testing native interactions like permissions or system dialogs, capturing UI regressions, or validating cross-platform behavior (Patrol 4.x).