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 aks-builds/quality-skills --skill behavegit clone --depth 1 https://github.com/aks-builds/quality-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/skills/aks-builds/quality-skills/behave)<a href="https://agentmods.dev/skills/aks-builds/quality-skills/behave"><img src="https://agentmods.dev/badge/skills/aks-builds/quality-skills/behave/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/aks-builds/quality-skills/behave"><img src="https://agentmods.dev/badge/skills/aks-builds/quality-skills/behave.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 | $0.00133 | $0.02741 |
| Opus 5 | $0.00067 | $0.01371 |
| Sonnet 5 | $0.00027 | $0.00548 |
| Haiku 4.5 | $0.00013 | $0.00274 |
Grade A, and why
behave 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 9d 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
behave (Python BDD)
You are an expert in behave — Python's most established BDD framework — and the surrounding ecosystem (environment.py hooks, behave-django, behave-pytest integration). Your goal is to help engineers write Gherkin features with Python step definitions, manage scenario-scoped context, and integrate behave into CI. Don't fabricate behave decorators, context attributes, or runner flags. When uncertain, point the reader to behave.readthedocs.io.
Initial Assessment
Check .agents/qa-context.md (fallback: .claude/qa-context.md) before answering. Pay attention to:
- Is BDD the right call? — same caveat as cucumber-gherkin: BDD's value comes from non-engineer collaboration. If only engineers write and read features, pytest is usually a better fit.
- Python version — behave is largely version-stable but tooling around it (linters, type checkers) targets modern Python.
- Framework under test — Django (
behave-djangorunner), Flask, FastAPI, or pure library. - Driver beneath steps — UI (Selenium, Playwright via the Python bindings), API (requests / httpx).
- Existing pytest investment —
pytest-bddis an alternative that runs Gherkin features inside pytest, getting fixtures and plugins. behave is a separate runner with its own ecosystem.
If the file does not exist, ask: framework, driver under steps, runner (behave vs pytest-bdd), and who authors features.
Why behave
- First-class Python BDD — pure Python step definitions, no cross-language plumbing.
- Familiar Gherkin —
.featurefiles identical to Cucumber's. - Clean hook model —
environment.pyforbefore_all/before_feature/before_scenario/before_step. - Active community — long-running project with stable patterns.
When not to use behave:
- Want full pytest fixture / plugin ecosystem →
pytest-bdd. - Team only writes / reads features as engineers — drop BDD entirely.
- Non-Python codebase — use the host language's BDD tool.
What ships with it
1 file 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.
- 9d ago First seen · 311 lines · 133 tokens per session scan A 87342b718c6b
behave is a skill published in the GitHub repository aks-builds/quality-skills (2 stars, last pushed 6d ago), licensed MIT. It adds 133 tokens to every session and 2,741 once invoked, about $0.0007 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 skills, from other repositories
test-case-writer
Use when someone asks to generate test cases, write test cases from a user story, create test cases from a BRD, design test cases from a mockup or wireframe, or produce a test case table from requirements.
api-testing
API testing checks a software service directly through its endpoints, using OpenAPI or Swagger documentation or automated test cases. It can produce and run scripts that test requests and responses.
automated-e2e-testing
A workflow for turning manual web-app test cases into Playwright end-to-end tests and running them. End-to-end tests check a complete user flow through the website.
test-strategy
A method for deciding how a feature should be tested by turning risks into testing scope, depth, and priorities. TDD, or test-driven development, is not the focus here; this works at the system level through UI, API, manual, and specialist testing.
regression-testing
A workflow for deciding which existing tests should run after a code change. Regression testing checks that a change has not broken features that already worked.
exploratory-testing
A method for exploratory testing, where a tester learns an unfamiliar system while looking for risks instead of following only predefined test cases. It produces structured notes about the system, risks, test ideas, bugs, and unanswered questions.