Scan Results: https://scan.glintbase.xyz/pxxl-scan

Vanity URL: scan.glintbase.xyz/scan-scan

74/100
Agent Readiness Score

AI-Friendly Docs

Parseable by AI models but has high token usage or lacks standard machine-readable hooks.

Category Breakdown

Context Optimization11 / 30
Code Block Execution23 / 30
Machine Readability20 / 20
Agent Tooling & MCP20 / 20

Detailed Findings

Context Optimization

11/30

llms.txt Auto-Discovery

llms-full.txt Consolidated Docs

Markdown Content Negotiation (Accept: text/markdown)

↳ AI Agent Fix Prompt
My documentation is returning excessive HTML to AI agents.
Implement server-side content negotiation in my app.

When a request includes the header 'Accept: text/markdown',
return ONLY the technical content as clean Markdown.

Strip completely: navigation menus, footers, cookie banners,
sidebar links, breadcrumbs, social sharing buttons,
interactive widgets, and any HTML not containing technical content.

The response should contain only:
- Page title as H1
- Section headings as H2/H3
- Body text
- Code blocks with language tags
- Parameter tables
- No HTML tags, no CSS, no scripts

DOM Cleanliness Ratio (9% markdown/HTML)

↳ AI Agent Fix Prompt
Reduce layout boilerplate (header, footers, scripts) or use Markdown Content Negotiation to strip DOM noise.
🔧

Code Block Execution

23/30

Terminal Prompt Pollution (No "$" prefixes in copyable code)

Dependency & Import Completeness

Dynamic Variable Placeholders

↳ AI Agent Fix Prompt
Replace vague variable hints or hardcoded keys with clean, uppercase environment placeholders (e.g. <YOUR_API_KEY> or process.env.YOUR_API_KEY).

Details: Several snippets use vague bracketed placeholders like [domain], [Product Name], and [URL] instead of standardized format like process.env.XYZ or <INSERT_VALUE_HERE>. Only clear examples would be the server-side negotiation snippet which has no secrets, and the OpenAPI/MCP snippets which have no variables.
🔍

Machine Readability

20/20

OpenAPI/Swagger Spec Auto-Discovery

JSON-LD Structured Schema (TechArticle / APIReference / Guide)

All checks passed — this category is agent-ready.
🤖

Agent Tooling & MCP

20/20

Model Context Protocol (MCP) Server Integration

Error Code Diagnostics & Cross-Referencing Index

All checks passed — this category is agent-ready.