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 yuusakuri/agent-skills --skill test-scenariosgit clone --depth 1 https://github.com/yuusakuri/agent-skillsWrote 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/yuusakuri/agent-skills/test-scenarios)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/test-scenarios"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/test-scenarios/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/yuusakuri/agent-skills/test-scenarios"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/test-scenarios.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 | $0.00052 | $0.00715 |
| Opus 5.5 | $0.00021 | $0.00286 |
| Sonnet 5.5 | $0.00010 | $0.00143 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
test-scenarios 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 1mo 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.
This is a copy
100% identical to test-scenarios — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Scenarios
Create comprehensive test scenarios from user stories with test objectives, starting conditions, user roles, step-by-step test actions, and expected outcomes.
Use when: Writing QA test cases, creating test plans, defining acceptance test scenarios, or validating user story implementations.
Arguments:
$PRODUCT: The product or system name$USER_STORY: The user story to test (title and acceptance criteria)$CONTEXT: Additional testing context or constraints
Step-by-Step Process
- Review the user story and acceptance criteria
- Define test objectives - What specific behavior to validate
- Establish starting conditions - System state, data setup, configurations
- Identify user roles - Who performs the test actions
- Create test steps - Break down interactions step-by-step
- Define expected outcomes - Observable results after each step
- Consider edge cases - Invalid inputs, boundary conditions
- Output detailed test scenarios - Ready for QA execution
Scenario Template
Test Scenario: [Clear scenario name]
Test Objective: [What this test validates]
Starting Conditions:
- [System state required]
- [Data or configuration needed]
- [User setup or permissions]
User Role: [Who performs the test]
Test Steps:
- [First action and its expected result]
- [Second action and observable outcome]
- [Third action and system behavior]
- [Completion action and final state]
Expected Outcomes:
- [Observable result 1]
- [Observable result 2]
- [Observable result 3]
Example Test Scenario
Test Scenario: View Recently Viewed Products on Product Page
Test Objective: Verify that the 'Recently viewed' section displays correctly and excludes the current product.
Starting Conditions:
- User is logged in or has browser history enabled
- User has viewed at least 2 products in the current session
- User is now on a product page different from previously viewed items
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.
- 1mo ago First seen · 87 lines · 52 tokens per session scan A 2dc10ebb6359
test-scenarios is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 4d ago), licensed MIT. It adds 52 tokens to every session and 715 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to test-scenarios, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
verify-omnigent
Drive Omnigent the way a user does and prove a behavior with recorded evidence, using an isolated server, runner, and mock model plus a feature map of every user entry point. Load before reproducing a user-facing bug, before claiming a fix works, or when reviewing whether a change covered every surface (session vs.…
test-master
Generates test files, creates mocking strategies, analyzes code coverage, designs test architectures, and produces test plans and defect reports across functional, performance, and security testing disciplines. Use when writing unit tests, integration tests, or E2E tests; creating test strategies or automation…
eval-dataset-design
A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.
cua-driver
Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.
critique
Adversarial design critique of the current work. Render it, look at it, and argue for rejection. Run after the gates are green, never instead of them.