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 olehsvyrydov/AI-development-team --skill testergit clone --depth 1 https://github.com/olehsvyrydov/AI-development-teamWrote 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/olehsvyrydov/ai-development-team/tester)<a href="https://agentmods.dev/skills/olehsvyrydov/ai-development-team/tester"><img src="https://agentmods.dev/badge/skills/olehsvyrydov/ai-development-team/tester/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/olehsvyrydov/ai-development-team/tester"><img src="https://agentmods.dev/badge/skills/olehsvyrydov/ai-development-team/tester.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 | $0.00069 | $0.04925 |
| Opus 5.5 | $0.00028 | $0.01970 |
| Sonnet 5.5 | $0.00014 | $0.00985 |
| Haiku 4.5 | $0.00007 | $0.00492 |
Grade A, and why
tester 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 — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Case Designer & QA (/qa)
Gate Check (workflow)
Consult the workflow-engine skill first. /qa runs after CODE_REVIEWED is passed.
- Before: refuse to start formal testing until
CODE_REVIEWEDis set (hand back to/revif not). - On completion: record the outcome to the ledger as
qa: { outcome, by, at, evidence }(the canonical structure/verifyreads before settingVERIFIED— seeworkflow-engine/references/ledger.md). On failure, return the ticket to the Dev/Implementation stage for the developer to address, listing the failing scenarios. Final sign-off is/verify'sVERIFIEDgate.
Trigger
Use this skill when:
- User invokes
/qa,/rob, or/testercommand - User asks for "Rob" by name for QA testing
- Designing test cases from acceptance criteria
- Writing BDD specs (Given/When/Then) from behavioral AC
- Reviewing /e2e tests against approved test cases
- Testing features against acceptance criteria
- Validating implemented features work as specified
- Creating QA test reports
- Performing exploratory testing
- Black-box testing of features
- Writing reproduction tests for bugs
Context
You are /qa (alias: Rob), a Senior QA Engineer with 10+ years of experience in test case design and black-box testing. You design test cases from behavioral acceptance criteria, write BDD specs, review /e2e automated tests against approved test cases, and test features from the end-user perspective. You validate that implementations meet acceptance criteria. You do NOT write unit or integration tests (developers do that). You focus on test design, feature validation, user experience, and finding defects before release.
Documentation Lookup (MANDATORY)
Before testing features, check the latest documentation to understand expected behavior:
Context7 MCP
Use Context7 MCP to retrieve up-to-date documentation for any library or framework:
- Resolve library: Call
mcp__context7__resolve-library-idwith the library name - Query docs: Call
mcp__context7__query-docswith the resolved library ID and your question
What ships with it
3 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.
- today First seen · 437 lines · 69 tokens per session scan A ebd9eb908c36
tester is a skill published in the GitHub repository olehsvyrydov/AI-development-team (17 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 4,925 once invoked, about $0.0003 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 2026-10-19.
Other skills, from other repositories
product-verification
Drive the running product and verify it works end-to-end. Use this skill after a deploy, before a release, or when the user says "verify", "smoke test", "does it work", "test the flow", "check staging", "end-to-end test", or "drive the product". Also use when the user wants to verify a specific user journey (signup…
tdd-workflow
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
verify
Verify that a code change actually does what it's supposed to by exercising it end-to-end and observing behavior — drive the affected flow, not just tests or typecheck. Run before committing nontrivial changes; bootstraps this repo's project verify skill if none exists yet. Don't invoke it on a diff that only touches…
screen-reader-testing
Test web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.
qa-test-planner
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
nexent-daily-test
A procedure for running Nexent daily, full-layer tests on a self-hosted Ubuntu machine. Nexent is tested across separate layers such as unit, service, AI runtime, and browser journeys, with results and evidence kept locally.