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 codebygarv/Ai-skills --skill test-case-designergit clone --depth 1 https://github.com/codebygarv/Ai-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/codebygarv/ai-skills/test-case-designer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/test-case-designer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/test-case-designer/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/codebygarv/ai-skills/test-case-designer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/test-case-designer.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 | $0.00039 | $0.00528 |
| Opus 5 | $0.00019 | $0.00264 |
| Sonnet 5 | $0.00008 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
test-case-designer 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Convert a set of requirements (functional spec, user story, acceptance criteria) into structured test cases — the kind used for manual QA or as a blueprint for automated test scripts — each with clear preconditions, steps, and expected results.
When to Use
- Requirements exist (or were just extracted, e.g. via Requirements Extractor) and need a test plan before or during implementation.
- QA needs a structured document to execute manually.
- Preparing acceptance criteria for a feature sign-off.
Differs from Test Generator: this produces human-readable test cases (steps + expected results, framework-agnostic), not executable code.
What to Analyze / Do
- Derive test cases directly from requirements — every functional requirement should map to at least one positive test case (it works as specified) and, where meaningful, a negative test case (it correctly rejects/handles invalid input or an invalid state).
- Structure each case — ID, title, preconditions, numbered steps, expected result after each step (or at minimum, the final expected result).
- Cover priority levels — mark cases as Critical/High/Medium/Low based on how central the covered requirement is, so a partial test pass can be prioritized sensibly.
- Include negative and edge cases where the requirements imply them — invalid input, missing permissions, boundary values (pair with Edge Case Hunter for a deeper edge-case pass).
- Keep cases independent where possible — a test case shouldn't require another specific case to have run first unless genuinely testing a multi-step workflow.
Output Format
- A table or structured list: ID | Title | Priority | Preconditions | Steps | Expected Result.
- Grouped by feature/requirement area.
- Explicit note of which requirements have no corresponding test case yet, if any were ambiguous enough to skip (rather than silently omitting coverage).
What ships with it
2 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.
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.
- 5d ago First seen · 37 lines · 39 tokens per session scan A dbe9eac033a9
test-case-designer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 39 tokens to every session and 528 once invoked, about $0.0002 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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