product-completeness-audit

product-completeness-audit is a skill for Claude Code from boparaiamrit/skills-by-amrit. It costs 56 tokens per session (2,685 once invoked), scanned A, original, MIT.

A review process that checks whether a product works end to end, rather than only looking finished on screen. It verifies routes, user flows, interface states, real data, and connections to the backend.

In plain words
What is it for?
Use it after building or integrating a product, before showing it to stakeholders, and after major feature changes to verify that every page and flow is functional.
Why use it?
It finds placeholder pages, hardcoded data, broken flows, and features that look complete but cannot be used from start to finish. This separates a working product from a visual demo.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the skills-by-amrit plugin — 33 skills, 34 commands, 9 agents shipped together

Good fit Use it after building or integrating a product, before showing it to stakeholders, and after major feature changes to verify that every page and flow is functional.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/boparaiamrit/skills-by-amrit/product-completeness-audit
Install

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.

Any agent
npx skills add boparaiamrit/skills-by-amrit --skill product-completeness-audit
Clone the repo
git clone --depth 1 https://github.com/boparaiamrit/skills-by-amrit

Made for: Claude Code.

Or install skills-by-amrit, the plugin that ships this one along with the rest of its 33 skills, 34 commands, 9 agents.

Wrote 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.

agentmods badge for product-completeness-audit

README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/product-completeness-audit"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/product-completeness-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,685 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.02685
Opus 5 $0.00028 $0.01342
Sonnet 5 $0.00011 $0.00537
Haiku 4.5 $0.00006 $0.00268

Measured 9d ago against content hash 86b2f310de59, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-completeness-audit 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.

skills/product-completeness-audit/SKILL.md · 328 lines

How it starts

The opening of the file, as written. The whole thing — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Completeness Audit

Overview

A beautiful UI with hardcoded data is a demo, not a product. This skill systematically verifies that every page, every flow, and every component is functionally complete — not just visually complete.

Core principle: If a user cannot complete the intended journey from start to finish with real data, the product is NOT done. Period.

The Iron Law

NO PAGE IS COMPLETE UNTIL IT RENDERS REAL DATA, HANDLES ALL STATES, AND CONNECTS TO A WORKING BACKEND. VISUAL COMPLETENESS ≠ FUNCTIONAL COMPLETENESS.

When to Use

  • After AI has "built" a product and you suspect placeholder pages
  • When the frontend looks good but flows feel broken
  • When you've integrated APIs but aren't sure everything is connected
  • Before presenting a product to stakeholders
  • When "it builds" but you don't trust it actually works
  • After a major feature addition to verify nothing was broken

When NOT to Use

  • For visual design review (use frontend-audit)
  • For API design quality (use api-design-audit)
  • For security concerns (use security-audit)

The Product Completeness Spectrum

IDENTIFY where the product sits on this spectrum:

Level 0: SKELETON    → Routes exist, pages are blank or show errors
Level 1: WIREFRAME   → Pages render but with placeholder text/images
Level 2: DEMO        → Stats/data present but hardcoded (same values on every load)
Level 3: CONNECTED   → API calls exist but may fail silently or show partial data
Level 4: FUNCTIONAL  → All data flows work but edge cases break
Level 5: COMPLETE    → Every flow works, errors are handled, edge cases covered

MOST AI-BUILT PRODUCTS ARE AT LEVEL 1-2. YOUR JOB IS TO GET THEM TO LEVEL 5.

The Process

Phase 1: Route Inventory (MAP EVERYTHING)

1. EXTRACT every route from the application:
   - Check router configuration (next.js pages/app, react-router, vue-router, etc.)
   - Check for dynamic routes ([id], :id, etc.)
   - Check for protected routes (auth required)
   - Check for nested routes

2. CREATE the Route Inventory:

   | # | Route | Page Component | Auth Required | Status |
   |---|-------|---------------|---------------|--------|
   | 1 | / | HomePage | No | 🔍 Not checked |
   | 2 | /login | LoginPage | No | 🔍 Not checked |
   | 3 | /dashboard | DashboardPage | Yes | 🔍 Not checked |
   | 4 | /users/:id | UserDetailPage | Yes | 🔍 Not checked |

3. DO NOT MISS:
   - 404 page
   - Error pages
   - Loading pages
   - Auth callback pages
   - Settings/profile pages
   - Modal routes (if using)

Read the full file on GitHub · 328 lines

Changes

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.

  1. 9d ago First seen · 328 lines · 56 tokens per session scan A 86b2f310de59

Subscribe to this mod's changes

product-completeness-audit is a skill published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 6mo ago), licensed MIT. It adds 56 tokens to every session and 2,685 once invoked, about $0.0003 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 2026-09-03.

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