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saas-launch-audit

saas-launch-audit

github.com/b-open-ioMarketing & growth1686 installsUpdated 4w ago
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About saas-launch-audit

saas-launch-audit is a repeatable launch-readiness audit skill for SaaS teams. It checks ten areas and reports PASS/FAIL results with a single next step for each failure.

Key features

  1. 01Ten-area launch readiness checklist
  2. 02Project context discovery survey
  3. 03Browser and web-search verification
  4. 04PASS/FAIL reports with next steps
  5. 05Repeat audits after fixes

Use cases

  1. 01Assessing a SaaS product before launch
  2. 02Checking pricing and payment readiness
  3. 03Reviewing AI costs and discovery visibility
  4. 04Prioritizing fixes from audit failures

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/b-open-io/prompts --skill saas-launch-audit

After installing, type/saas-launch-auditin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

.clawnet/
unsigned-skill.json
references/
geo-visibility.md
launch-tactics.md
metrics-2026.md
payment-verification.md
platform-guides.md
pricing-2026.md
trust-infrastructure.md
scripts/
competitor-visibility.sh
tech-audit.sh

Details

From the project README

SaaS Launch Audit

A comprehensive, repeatable audit workflow for SaaS products approaching launch. Provides clear PASS/FAIL states with single actionable next steps.

Purpose

Validate launch readiness across 10 critical areas: validation, pricing, payments, AI economics, discovery, competitors, social presence, legal, trust infrastructure, and launch day operations.

Workflow Overview

  1. Discovery Survey - Gather project context (product type, audience, stage)
  2. Interactive Verification - Actively verify items using browser tools and web queries
  3. PASS/FAIL Report - Output each item with status and next step for failures
  4. Iterate - Re-run audit after fixes until all items pass

Discovery Survey

Before running the checklist, gather project context:

Questions to ask:

  1. Product type: B2B SaaS, B2C, Developer Tool, Marketplace, or Other?
  2. Target audience/ICP: Who is the primary customer?
  3. Current stage: Pre-MVP, Beta/Early Access, or Ready to Launch?
  4. Does the product use AI/ML that affects unit economics?
  5. Primary domain/URL to audit (if live)

Platform recommendations by product type:

  • Developer Tools: GitHub, Hacker News, Reddit, X, Dev.to
  • B2B SaaS: LinkedIn, Product Hunt, G2/Capterra
  • B2C/Consumer: X, TikTok, Instagram, YouTube
  • Indie Hacker: Product Hunt, Indie Hackers, X, Reddit

Audit Checklist (10 Sections)

1. Pre-Launch Validation
ItemVerification Method
50+ discovery calls completedAsk user
Pre-payment secured from 3+ customersAsk user
Problem validated (not just interest)Ask user for evidence
Manual service delivery testedAsk user
2. Pricing Strategy
ItemVerification Method
Pricing model selected (outcome/usage/hybrid)Ask user, verify NOT per-seat only
Value metric identifiedAsk user what outcome they charge for
3-4 tiers with clear differentiationBrowser: check pricing page
Annual contract incentives configuredBrowser: verify discount shown
Pricing page live and scannableBrowser: visual check
3. Payment Integration
ItemVerification Method
Stripe account activated (live keys)Ask user to confirm
Test transactions successfulAsk user
Webhook endpoints configuredAsk about endpoint URL
Billing portal accessibleBrowser: test billing portal link
Tax/KYC requirements metAsk user
4. AI Economics (if applicable)
ItemVerification Method
Inference costs calculated per actionAsk user for cost breakdown
AI costs < 30% of revenueCalculate: inference cost / revenue per user
Gross margin > 50% (AI-adjusted)Verify: traditional SaaS 80-90%, AI-first 50-65%
Margin protection strategy existsAsk about usage caps, tiering
Cost monitoring/alerts configuredAsk user
5. GEO & AI Discovery
ItemVerification Method
AI visibility audit completedWebSearch: query ChatGPT/Perplexity for brand
Structured data/FAQ schemaBrowser: check page source
Content uses authoritative languageBrowser: check for excessive hedging
SSR/pre-rendering for LLM crawlersAsk about rendering strategy
Server response time < 200msRun scripts/tech-audit.sh
Core Web Vitals passingCheck PageSpeed Insights

2026 Fact: AI agents account for ~33% of organic search activity. Only 12% of companies appear across ChatGPT, Perplexity, and Claude.

6. Competitor Intelligence
ItemVerification Method
3+ direct competitors identifiedAsk user to list
Competitor pricing documentedWebSearch: research each competitor
Differentiation statement writtenAsk user for positioning
AI visibility comparison doneWebSearch: query "[category] tools"
Citation sentiment analyzedReview AI responses for tone
7. Social Media & Launch Prep
ItemVerification Method
Primary platform profiles createdBrowser: check each platform
LinkedIn founder profile optimizedBrowser: review profile
X/Twitter presence establishedBrowser: check account
Product Hunt profile readyBrowser: check PH profile
400+ PH supporters lined upAsk user about DM outreach
Launch email sequence draftedAsk user
Content calendar for 30 daysAsk user
"Magic Triangle" readyAsk about founder content + outreach + retargeting
8. Legal & Compliance
ItemVerification Method
Privacy Policy liveBrowser: check /privacy or footer link
Terms of Service liveBrowser: check /terms or footer link
Cookie consent bannerBrowser: verify banner appears
DPA template ready (if B2B)Ask user
9. Trust Infrastructure
ItemVerification Method
Auth system production-readyAsk user about auth provider
Audit logging enabledAsk user
Error tracking configuredAsk about Sentry or similar
Uptime monitoring activeAsk user
Security headers configuredRun scripts/tech-audit.sh
10. Launch Day Readiness
ItemVerification Method
Support channels operationalBrowser: check support links
FAQ/Knowledge base publishedBrowser: check /help or /docs
Analytics tracking verifiedAsk about GA4, PostHog setup
Team roles assignedAsk user
Rollback plan documentedAsk user

Output Format

Report each item as:

[PASS] Item description

or

[FAIL] Item description
  → Next step: Single actionable instruction

Verification Tools

Browser Verification

Use mcp__claude-in-chrome__* tools to:

  • Navigate to pricing, terms, privacy pages
  • Check for cookie banners, structured data
  • Verify billing portal accessibility
  • Review social media profiles
Web Search Verification

Use WebSearch to:

  • Query AI assistants for brand visibility
  • Research competitor pricing
  • Check product mentions and sentiment
Script Verification

Use provided scripts:

  • scripts/tech-audit.sh - Core Web Vitals, SSL, security headers
  • scripts/competitor-visibility.sh - AI visibility comparison

Additional Resources

For detailed guidance, see the references directory:

  • references/pricing-2026.md - Outcome/usage-based pricing strategies, 2026 trends, tier design principles
  • references/payment-verification.md - Stripe go-live checklist
  • references/geo-visibility.md - GEO/AI discovery optimization, technical requirements, content strategies
  • references/launch-tactics.md - Product Hunt and social strategies, "Magic Triangle" approach
  • references/trust-infrastructure.md - Trust-as-a-Product requirements
  • references/metrics-2026.md - AI-first SaaS metrics (gross margins, cost optimization)
  • references/platform-guides.md - Platform-specific launch guides

Completion Criteria

The audit is complete when:

  1. All 10 sections have been evaluated
  2. Each item shows PASS or FAIL with next step
  3. User has a prioritized list of fixes

Re-run the audit after implementing fixes until all critical items pass.

Key 2026 Insights

  1. Pricing: Per-seat is declining (126% YoY growth in credit models). Use outcome-based or hybrid models.
  2. AI Economics: Target AI costs < 30% of revenue. Traditional SaaS: 80-90% margins. AI-first: 50-65% margins.
  3. Discovery: AI agents now ~33% of organic search. Only 12% of companies appear across all AI platforms.
  4. Trust: Trust-as-a-Product is a differentiator, not just compliance.
  5. Product Hunt: 26.5% of launches get 500-1000 users. 49% fail by relying on PH alone.

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