Borrowing it
Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/testing/SKILL.mdgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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/smart-ai-memory/attune-ai/testing)<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/testing"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/testing/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/smart-ai-memory/attune-ai/testing"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/testing.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 | $0.00010 | $0.01060 |
| Opus 5.5 | $0.00004 | $0.00424 |
| Sonnet 5.5 | $0.00002 | $0.00212 |
| Haiku 4.5 | $0.00001 | $0.00106 |
Grade A, and why
testing 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.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
testing
Test runner, generation, and coverage analysis.
Default mode: Module-level testing for daily development. Full suite reserved for release verification and deep audits.
Routes
| Subcommand | Action |
|---|---|
run |
Run tests (changed modules by default) |
quick |
Run tests for recently changed files |
coverage |
Coverage analysis (module or full) |
gen |
Generate tests |
generate |
Generate tests |
audit |
Deep coverage audit (TestAuditWorkflow) |
benchmark |
Run benchmarks |
generate --batch |
Batch test generation |
Usage
/testing # Ask what to do
/testing run # Run tests for changed modules
/testing run --all # Run full test suite
/testing quick # Run tests for changed files
/testing coverage # Module-level coverage
/testing coverage --full # Full codebase coverage
/testing audit # Deep coverage audit workflow
/testing gen # Generate tests
Fast-Path Detection
When explicit args satisfy scoping, skip questions:
/testing run --all→ full suite immediately/testing gen src/auth→ generate for that module/testing coverage --full→ full codebase coverage/testing run→ ask which tests/testing→ ask what to do
Rule: If input contains BOTH an action AND a
target (or --all/--full flag), proceed to
execution. If either is missing, use
AskUserQuestion.
Behavior
run
Default behavior: detect changed files via git diff and
run only their corresponding test files (module-level).
Use AskUserQuestion to scope if no flags provided:
- Changed modules only (default), specific directory, or full suite?
- Quick smoke test or thorough run?
# Default: changed modules only
git diff --name-only HEAD | grep '\.py$'
# Map source files to test files, then:
uv run pytest <test_files> -q
# With --all flag: full suite
uv run pytest tests/unit/ -q
# With --coverage flag: add coverage for changed modules
uv run pytest <test_files> --cov=attune.<module> -q
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 · 177 lines · 10 tokens per session scan A ed249284d69e
testing is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 1,060 once invoked, about $0.0000 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 2026-08-31.
Other skills, from other repositories
attest
Verifying spec compliance: extracts ACs from specs, adversarially checks conformance, generates BDD scenarios and traceability matrices. Use when impl must be proven to match a PRD/SRS/AC.
matrix
Controlling combinatorial explosion across multi-dimensional axes: minimum coverage sets, execution plans, test/deploy/UX/risk prioritization. Use when scoping multi-axis combinations.
probe
Integrating OWASP ZAP/Burp Suite/Nuclei, planning penetration tests, executing DAST, and scanning for vulnerabilities. For runtime vulnerability validation. Complements Sentinel static analysis.
siege
Verifying system resilience via load testing, contract testing, chaos engineering, and mutation testing. Use for limit verification, non-functional testing, or reliability validation.
voyager
Authoring web and native E2E tests, including Playwright, Appium, XCUITest, device farms, visual regression, and App Store screenshot pipelines. Not for unit/load tests.
radar
Adding edge-case tests, repairing flaky tests, and improving coverage. Use when test gaps need filling or regressions need guarding. Supports JS/TS, Python, Go, Rust, and Java.