Genkit is an open-source framework for building AI-powered applications with JavaScript, Go, Python, and Dart. Developers use it to connect language models and other AI providers while implementing chatbots, automations, recommendations, multimodal features, structured outputs, tools, and agent workflows. The catalogue skills support development with Genkit.
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 genkit-ai/genkit --skill test-writergit clone --depth 1 https://github.com/genkit-ai/genkitWrote 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/genkit-ai/genkit/test-writer)<a href="https://agentmods.dev/skills/genkit-ai/genkit/test-writer"><img src="https://agentmods.dev/badge/skills/genkit-ai/genkit/test-writer/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/genkit-ai/genkit/test-writer"><img src="https://agentmods.dev/badge/skills/genkit-ai/genkit/test-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.00229 |
| Opus 5.5 | $0.00010 | $0.00092 |
| Sonnet 5.5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
test-writer 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.
What it actually says
Test writer
When writing pytest tests in this workspace:
- One test file per module.
foo.pylives next tofoo_test.py(suffix, not prefix). - Cover the happy path AND at least one edge case. Empty input, duplicates, boundary values — pick what matters for the unit under test.
- Use
pytest.mark.parametrizewhen the same assertion runs over a small table of inputs. Keep IDs descriptive. - Name tests
test_<unit>_<scenario>_<expected>. Examples:test_total_empty_cart_returns_zero,test_add_duplicate_item_merges_quantities. - Arrange / Act / Assert. Three clear blocks. No setup hidden in fixtures unless it's reused across at least two tests.
- Assert behavior, not implementation. Don't reach into private attributes or count function calls; check the observable result.
- Imports at module top. Don't import inside test functions.
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 · 17 lines · 26 tokens per session scan A 3a5dcbeb87e1
test-writer is a skill published in the GitHub repository genkit-ai/genkit (6,529 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 229 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
architecture-patterns
Architecture validation and patterns for clean architecture, backend structure enforcement, project structure validation, test standards, and context-aware sizing. Use when designing system boundaries, enforcing layered architecture, validating project structure, defining test standards, or choosing the right…
testing-llm
LLM and AI testing patterns — mock responses, evaluation with DeepEval/RAGAS, structured output validation, and agentic test patterns (generator, healer, planner). Use when testing AI features, validating LLM outputs, or building evaluation pipelines.
testing-patterns
Redirect — testing-patterns was split into 5 focused sub-skills. Use when looking for testing-patterns, writing tests, or test automation. Redirects to testing-unit, testing-e2e, testing-integration, testing-llm, or testing-perf.
deepeval
Use when discussing or working with DeepEval (the python AI evaluation framework).
zunit
Generate and run zunit tests for java-cli-app projects. Use when asked to create tests, write tests, add tests, or generate test files for a java-cli-app project. Triggers on "zunit", "write tests", "create tests", "add tests", "test this", "generate tests", or requests to test a java-cli-app application. Also trigger…
continuous-testing
Continuous test-driven development loop — after every code change, builds the project, starts the server, and runs Unit Tests, Integration Tests, and System Tests. Applies on top of microprofile-server skill. Use during development when you want full verification after each change. Triggers on "continuous testing"…