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 Decathlon/tzatziki --skill add-cucumber-testsgit clone --depth 1 https://github.com/Decathlon/tzatzikiWrote 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/decathlon/tzatziki/add-cucumber-tests)<a href="https://agentmods.dev/skills/decathlon/tzatziki/add-cucumber-tests"><img src="https://agentmods.dev/badge/skills/decathlon/tzatziki/add-cucumber-tests/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/decathlon/tzatziki/add-cucumber-tests"><img src="https://agentmods.dev/badge/skills/decathlon/tzatziki/add-cucumber-tests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00130 | $0.04316 |
| Opus 5 | $0.00065 | $0.02158 |
| Sonnet 5 | $0.00026 | $0.00863 |
| Haiku 4.5 | $0.00013 | $0.00432 |
Grade A, and why
add-cucumber-tests 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 10d 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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BDD Test Generation with Tzatziki
Generate valid Cucumber .feature files from a user's functional specification, using Tzatziki's
step definition library as the source of truth for legal step patterns.
Principles
These explain the reasoning behind the workflow — understanding them helps you handle edge cases the workflow doesn't explicitly cover.
-
Steps come from code, not imagination. Tzatziki provides hundreds of pre-built
@Given/@When/@Thenpatterns in its*Steps.javafiles. Inventing step text that doesn't match a real definition producesUndefinedStepExceptionat runtime. Per-module reference files inreferences/steps-*.mdcontain every legal step pattern — read the relevant ones before writing any scenario.⚠️ Never paraphrase or improvise step keywords. Many step patterns use regex constants like
COMPARING_WITHthat expand to a small fixed set of keywords (e.g.,""empty," exactly"," at least"," only"). Do not substitute natural-language synonyms such as"containing","including","matching", or any other word that "sounds right" — if the word does not appear in the@Given/@When/@Thenannotation regex, the step will be undefined at runtime. When in doubt, re-read the Java source inreferences/steps-*.mdrather than guessing. -
Verify the environment before writing tests. Run at least one existing Cucumber test in the target module before creating new feature files. This catches missing dependencies, broken bootstrap, or misconfigured runners early — before you've invested effort in writing scenarios that can't execute. If no test exists yet, create the minimal bootstrap first and confirm it discovers at least one scenario.
-
YAML by default for structured data. Tzatziki scenarios are most readable when request bodies, database fixtures, Kafka payloads, and expected results use
"""ymldoc strings. Fall back to Gherkin tables for naturally tabular data, or raw JSON only when the contract requires it.
What ships with it
21 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.
- references/bootstrap-templates.md 2.5 KB
- references/cli-execution.md 4.0 KB
- references/steps-core.md 73 KB
- references/steps-http.md 97 KB
- references/steps-logback.md 11 KB
- references/steps-mcp.md 28 KB
- references/steps-opensearch.md 11 KB
- references/steps-spring-jpa.md 32 KB
- references/steps-spring-kafka.md 52 KB
- references/steps-spring-mongodb.md 13 KB
- references/steps-spring.md 8.7 KB
- repomix/generate-skill-references.sh 2.5 KB runs code
- repomix/repomix.core.json 676 B
- repomix/repomix.http.json 646 B
- repomix/repomix.logback.json 584 B
- repomix/repomix.mcp.json 598 B
- repomix/repomix.opensearch.json 608 B
- repomix/repomix.spring-jpa.json 708 B
- repomix/repomix.spring-kafka.json 708 B
- repomix/repomix.spring-mongodb.json 715 B
- repomix/repomix.spring.json 635 B
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.
- 10d ago First seen · 315 lines · 130 tokens per session scan A d592338ec9f2
add-cucumber-tests is a skill published in the GitHub repository Decathlon/tzatziki (87 stars, last pushed yesterday), licensed Apache-2.0. It adds 130 tokens to every session and 4,316 once invoked, about $0.0006 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 2026-08-30.
Other skills, from other repositories
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
neuron-evaluation-engineer
Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.