pre-launch-audit — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited pre-launch-audit (Plugin) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A skill for Claude Code that checks a website before it goes live. It runs 5 sub-audits (technical SEO, AI accessibility, security, performance, and on-page SEO), then tells you what to fix before launch, in priority order.
The idea is simple: a site that launches well is one where all the parts work together. Good performance means nothing if search engines can't crawl the site. Solid SEO means nothing if the site leaks API keys. Clean security headers mean nothing if they break how Googlebot renders the page. The 5 sub-audits aren't independent checklists, they cross-reference each other, deduplicate findings, and surface shared root causes. One fix in the right place often resolves issues across multiple audits.
This was built for SEOs running pre-launch checks, but it's useful for anyone shipping a website, whether that's a developer pushing a side project, a team launching a redesign, or an agency reviewing a client's staging site.
This is a Claude Code skill. It works in:
If you haven't used Claude Code before: it's Anthropic's coding agent. Skills are instruction files that teach it how to do specific tasks. This skill teaches it how to audit a website.
The skill runs 5 sub-audits. Each one has its own playbook with specific checks, tool calls, and severity classifications:
Before running any checks, the skill detects your tech stack (which framework, hosting platform, and CDN) using HTTP headers, HTML signatures, DNS records, and bundle paths. It then tailors every check to your specific stack.
Supported stacks include Next.js, Nuxt, Astro, SvelteKit, WordPress, Shopify, Webflow, Framer, Wix, Squarespace, Hugo/Jekyll/Eleventy, Drupal, and AI-generated apps (Lovable, Bolt, Base44, Replit).
For example, a Next.js site on Vercel gets ISR cache validation and NEXT_PUBLIC_* env var audits. A WordPress site gets plugin CVE checks and username enumeration detection. A vibe-coded app gets Supabase RLS probing and exposed endpoint sweeps.
The skill uses several tools to gather data. It checks which ones are available at startup and works with whatever you have. At minimum, it needs bash (curl, dig, openssl, grep), and every sub-audit has a fallback path that uses just command-line tools.
With more tools available, the audit gets deeper:
| Tool | What it adds | Notes |
|---|---|---|
| bash (curl, dig, openssl, grep) | Headers, DNS, TLS, robots.txt, HTML inspection, secret scanning | Always available. The only tool the skill actually needs. |
| Screaming Frog MCP | Full site crawl, bulk analysis across all URLs, crawl comparison | Optional. Requires a Screaming Frog paid license (the MCP uses the CLI and database features, which aren't on the free plan). |
| Chrome DevTools (via MCP) | Accessibility tree, Lighthouse scores, performance traces, network waterfall | Optional. The playbooks call Chrome DevTools through an MCP server. You can substitute Playwright (available as a Claude Code plugin) or any browser MCP. |
| DataForSEO | Lighthouse API, AI search volume data, technology detection | Optional. Paid API (usage-based pricing). Can be replaced with Ahrefs, Semrush, or other SEO data providers. |
You don't need all of these. The skill works with just bash. Each additional tool unlocks deeper checks, and Screaming Frog is the biggest upgrade for technical SEO and performance and accessibility checks.
The playbooks reference specific tools (Chrome DevTools for browser checks, DataForSEO for Lighthouse data and keyword metrics), but the checks themselves are tool-agnostic, they describe what to check, and the tool calls are just one way to get the data. If you use different tools, you can ask Claude to update the playbooks to match your setup. Common swaps: Playwright for Chrome DevTools, Ahrefs or Semrush for DataForSEO.
In Claude Code, run:
/plugin marketplace add bzsasson/pre-launch-audit-skillThis installs the skill automatically using the Claude Code plugin system.
Clone the repo and copy the skill directory:
git clone https://github.com/bzsasson/pre-launch-audit-skill.git
cp -r pre-launch-audit-skill/skills/pre-launch-audit ~/.claude/skills/pre-launch-auditOr symlink it if you want to pull updates later:
git clone https://github.com/bzsasson/pre-launch-audit-skill.git
ln -s "$(pwd)/pre-launch-audit-skill/skills/pre-launch-audit" ~/.claude/skills/pre-launch-auditAfter installation, Claude Code will pick up the skill automatically in new conversations.
The skill triggers when you ask Claude Code to audit a site before launch:
All 5 sub-audits run by default. You can skip any by saying so.
A prioritized report with:
Every P0/P1 finding includes what breaks if you don't fix it, the specific fix for your stack (file path, code snippet, or command), and how to verify the fix worked.
.claude-plugin/
plugin.json # Plugin metadata
marketplace.json # Marketplace catalog
skills/pre-launch-audit/
SKILL.md # Main orchestrator -- controls the audit flow
audits/
technical-seo.md # 10 checks
ai-accessibility.md # 7 checks
security.md # 6 areas
performance.md # 8 areas
on-page.md # 9 checks
references/
ai-crawler-landscape.md # Bot taxonomy, user-agents, Cloudflare, llms.txt
security-checks.md # Headers, vibe-coding checklist, CVEs, secrets patterns
sf-power-workflows.md # Screaming Frog custom extractions, JS snippets, CLI
performance-budgets.md # CWV thresholds, diagnostic playbooks, caching
stack-profiles.md # 15-stack fingerprints, bash recon, platform ceilingsThe skill loads playbooks and references on demand, only the files needed for selected sub-audits are read into context.
The security sub-audit checks for pre-launch hygiene: exposed secrets, missing headers, known CVEs, and common patterns in AI-generated code. It does not perform penetration testing, so no SQL injection fuzzing, no authenticated session abuse, no business-logic exploitation. See audits/security.md for the full scope boundary.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.