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content-structure-audit

Specialist skill assessing machine-readable content quality — semantic HTML (title/H1), JSON-LD/schema.org structured data presence, validity, and alignment…

Skill by Adamkoda2306

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/adamkoda2306-content-structure-audit

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Specialist skill assessing machine-readable content quality — semantic HTML (title/H1), JSON-LD/schema.org structured data presence, validity, and alignment with visible content, and image alt-text coverage. Used by audit-orchestrator; independently runnable for testing.

Use cases: frontend, testing, data, security

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/content-structure-audit

What's inside

Skill name
content-structure-audit
Description
Specialist skill assessing machine-readable content quality — semantic HTML (title/H1), JSON-LD/schema.org structured data presence, validity, and alignment with visible content, and image alt-text coverage. Used by audit-orchestrator; independently runnable for testing.
License
MIT
Instructions
21 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Agent Skills spec issues

  • allowed-tools: must be a space-separated string

Files (3)

  • SKILL.md
  • methodology.md · references/
  • content_audit.py · scripts/

SKILL.md (first lines)

# content-structure-audit

## Purpose
Determines whether the facts a page already displays to a human visitor are
also available to a machine reader in an explicit, structured, or otherwise
directly extractable form.

## Checks
Title/H1 presence, JSON-LD presence on offering-like pages, JSON-LD JSON
validity, JSON-LD type alignment with visible content, and alt-text coverage
on non-decorative images. Full rationale in `references/methodology.md`.

## Usage
```bash
python scripts/content_audit.py https://example.com   # standalone/dev mode
```

## Safety
Read-only analysis of already-fetched HTML only.

From Adamkoda2306/Brand-AI-Readiness-Audit, MIT.

More from Adamkoda2306/Brand-AI-Readiness-Audit

Signals

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Last commit (this folder)
Sep 12, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/Adamkoda2306/Brand-AI-Readiness-Audit
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from Adamkoda2306

Cite this page

content-structure-audit skill. Agent Mart. https://agentmart.dev/skills/adamkoda2306-content-structure-audit (last updated 2026-10-24)