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 rampstackco/claude-skills --skill qa-testinggit clone --depth 1 https://github.com/rampstackco/claude-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/rampstackco/claude-skills/qa-testing)<a href="https://agentmods.dev/skills/rampstackco/claude-skills/qa-testing"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/qa-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/rampstackco/claude-skills/qa-testing"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/qa-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 | $0.00170 | $0.03248 |
| Opus 5.5 | $0.00068 | $0.01299 |
| Sonnet 5.5 | $0.00034 | $0.00650 |
| Haiku 4.5 | $0.00017 | $0.00325 |
Grade A, and why
qa-testing scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fetch(window.location.origin, { method: 'HEAD' }) How it starts
The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
QA Testing
Verify that a page, feature, or site is working before declaring it shipped. Stack-agnostic. Console-snippet driven for speed.
This skill is faster than accessibility-audit (which goes deeper on WCAG) and performance-optimization (which goes deeper on Core Web Vitals). Use this skill for general QA. Use the specialists for deep audits.
When to use
- After every deploy (smoke test)
- After launching a new page or feature (standard audit)
- Before a major release (full release matrix)
- Investigating a "something looks off" report
- Pre-launch verification of a site or section
When NOT to use
- Deep accessibility compliance work (use
accessibility-audit) - Deep performance investigation (use
performance-optimization) - Code review or debugging (use
code-review-web) - Initial site setup or technical SEO baseline (use
seo-technical)
Required inputs
- The page URL or site under test
- The tier of QA needed (smoke, standard, or full)
- Browser dev tools access
- Any specific concerns to check beyond the standard tier
The framework: 3 tiers
QA scales with the stakes. Pick the tier that matches the context.
| Tier | When to run | Time | Coverage |
|---|---|---|---|
| Smoke | After every deploy | 2 minutes | Critical signals only |
| Standard | New page or feature | 10 minutes | On-page basics, accessibility, structure |
| Full | Major release, pre-launch | 30+ minutes | Comprehensive across all dimensions |
Tier 1: Smoke test
The 2-minute "did the deploy break anything obvious?" check. Run after every deploy.
Console snippet (paste in browser dev tools):
const smoke = {
title: document.title,
titleLen: document.title.length,
canonical: document.querySelector('link[rel="canonical"]')?.href,
h1Count: document.querySelectorAll('h1').length,
missingAlts: [...document.querySelectorAll('img')].filter(i => !i.hasAttribute('alt')).length,
schema: [...document.querySelectorAll('script[type="application/ld+json"]')]
.map(s => { try { return JSON.parse(s.innerText)['@type'] } catch(e) { return 'invalid' } }),
brokenImages: [...document.querySelectorAll('img')].filter(i => !i.complete || i.naturalWidth === 0).length,
};
console.log(JSON.stringify(smoke, null, 2));
What ships with it
2 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.
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 · 303 lines · 170 tokens per session scan A 5984941bca7a
qa-testing is a skill published in the GitHub repository rampstackco/claude-skills (993 stars, last pushed 6d ago), licensed MIT. It adds 170 tokens to every session and 3,248 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
qa-testing
Run QA testing on a page, feature, or full site at one of three depth tiers (smoke, standard, full). Use this skill whenever the user asks to QA a page or site, run a smoke test after a deploy, verify a page before launch, or run a regression sweep. Triggers on QA, QA sweep, smoke test, regression test, post-deploy…
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Triage failed Agent QA runs with MCP evidence, artifacts, logs, fixed failure categories, confidence, and actionable next steps.
visual-qa
Runs rigorous visual QA across web, terminal, and paginated surfaces: an Apple HIG-based checklist, paired light/dark captures at phone and desktop widths, screenshot evidence, and a per-item PASS/FAIL verdict. Use for any UI build or change, or when asked whether a page, component, or TUI looks right or follows the…
remove-ai-slops
Removes AI-generated code smells from branch changes or an explicit file list behind regression tests. Use when the user asks to clean up, deslop, or remove AI-slop patterns from recent changes.