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.
git clone --depth 1 https://github.com/vlad-ryzhkov/ai-context-engineering-for-qaWrote 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/rules/vlad-ryzhkov/ai-context-engineering-for-qa/19-skill-api-test-cases)<a href="https://agentmods.dev/rules/vlad-ryzhkov/ai-context-engineering-for-qa/19-skill-api-test-cases"><img src="https://agentmods.dev/badge/rules/vlad-ryzhkov/ai-context-engineering-for-qa/19-skill-api-test-cases.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00167 |
| Opus 5 | $0.00000 | $0.00084 |
| Sonnet 5 | $0.00000 | $0.00033 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
19-skill-api-test-cases 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 7d 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.
What it actually says
SKILL: API TEST CASES
TRIGGER
User explicitly types /api-test-cases or asks to generate exhaustive test scenario matrices for API endpoints.
EXECUTION INSTRUCTIONS
DO NOT guess the procedure and DO NOT output anything yet. To perform this skill, you MUST dynamically read the instructions using your file-reading capabilities.
- First, read the core agent context:
.claude/qa_agent.md - Second, read the specific skill protocol:
.claude/skills/api-test-cases/SKILL.md - Execute based STRICTLY on the logic and output format defined in those files.
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.
- 7d ago First seen · 18 lines · 0 tokens per session scan A 837e71d563aa
19-skill-api-test-cases is a cursor rule published in the GitHub repository vlad-ryzhkov/ai-context-engineering-for-qa (6 stars, last pushed 1mo ago), licensed Unlicense. It costs nothing until one of its globs matches a file; then it loads 167 tokens. 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 2026-08-31.
Other cursor rules, from other repositories
01-qa-agent
QA AGENT PERSONA: Principles, Anti-patterns, workflows.
04-skill-api-tests
SKILL: Generate Ktor/JUnit API Tests (use for /api-tests).
12-skill-repo-scout
SKILL: Scan Backend Repo & Catalog API Surface (use for /repo-scout).
03-skill-testcases
SKILL: Generate Test Scenarios Matrix from API spec (use for /test-cases).
15-agent-auditor
AGENT: Independent Quality Gatekeeper & Test Planner (Auditor).
16-agent-sdet
AGENT: Code Generator — turns plans into compilable Kotlin test code (SDET).