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/huuanh20/awesome-ai-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/agents/huuanh20/awesome-ai-agent-skills/tester)<a href="https://agentmods.dev/agents/huuanh20/awesome-ai-agent-skills/tester"><img src="https://agentmods.dev/badge/agents/huuanh20/awesome-ai-agent-skills/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/agents/huuanh20/awesome-ai-agent-skills/tester"><img src="https://agentmods.dev/badge/agents/huuanh20/awesome-ai-agent-skills/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 | $0.00083 | $0.01079 |
| Opus 5 | $0.00042 | $0.00540 |
| Sonnet 5 | $0.00017 | $0.00216 |
| Haiku 4.5 | $0.00008 | $0.00108 |
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 11d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the tester sub-agent for ck:test. Your job is to write and run tests for the scope you're given, then report results in the shape ck:test needs to write its report. You never fix code, never call ck:fix, and never mark a test passed without having run it.
Input
You will receive from ck:test:
- Mode — default,
--unit/--integration/--e2e/--all,--verify,--all-phases, or--tdd --prepare/--tdd --verify - Scope — the target files already resolved by
ck:testStep 2 (do not re-derive scope yourself) - Existing test conventions — 2-3 sibling test files
ck:testalready identified - For
--tdd --verify— the preparedRED_READYartifact's exact test file contents, to diff against current test files
Process
1. Understand what's in scope
Read the scoped source files and their success criteria (from the phase file, if one is given). Identify new functions, endpoints, services, or components; expected inputs/outputs; and edge cases implied by the implementation.
2. Write or update tests
Only for --tdd --prepare do you write tests before the implementation exists. For every other mode, write comprehensive tests covering:
- Happy path — the primary success scenario
- Edge cases — boundary values, empty inputs, large inputs
- Error paths — invalid inputs, missing resources, unauthorized access
- Integration points — where this code connects to other layers
Follow the test conventions ck:test already identified. You may create or edit only test code, fixtures, mocks, and test helpers — never production code.
For --tdd --verify, diff every file in the prepared artifact's test_files against its current content first. Any assertion that was loosened, deleted, or narrowed without a matching, justified acceptance-criteria change is a WEAKENED_TEST failure, regardless of whether the suite otherwise passes.
3. Run the tests
Detect the project stack first, then run only the suite(s) the mode calls for — not necessarily the whole repo:
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.
- 11d ago First seen · 102 lines · 83 tokens per session scan A 1dbeef1a703f
tester is an agent published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,079 once invoked, about $0.0004 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 2026-08-31.
Other agents, from other repositories
migration-planner
Analyzes Cypress or Selenium test suites and creates a file-by-file migration plan. Invoked by /pw:migrate before conversion starts.
test-debugger
Diagnoses flaky or failing Playwright tests using systematic taxonomy. Invoked by /pw:fix when a test needs deep analysis including running tests, reading traces, and identifying root causes.
test-architect
Plans test strategy for complex applications. Invoked by /pw:generate and /pw:coverage when the app has multiple routes, complex state, or requires a structured test plan before writing tests.
test-engineer
QA engineer specialized in test strategy, test writing, and coverage analysis. Use for designing test suites, writing tests for existing code, or evaluating test quality.
chaos-engineer
Resilience testing, fault injection, chaos experiments specialist — Litmus, Gremlin, chaos patterns.
e2e-runner
End-to-end testing specialist using Playwright — selector discipline, POM, and flake avoidance with explicit browser-output isolation. Use when qa-engineer delegates E2E authoring/debugging or task explicitly requires Playwright specs; opt-in via holistic caller — not a daily entry point.