semantic-structure-audit
Audits JSON-LD structured data and schema.org usage to ensure important entities and facts are machine-readable and consistent with visible text.
Skill by mahinigam
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/mahinigam-semantic-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
Use cases: data, security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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/semantic-structure-audit
What's inside
- Skill name
semantic-structure-audit- Description
- Audits JSON-LD structured data and schema.org usage to ensure important entities and facts are machine-readable and consistent with visible text.
- License
- MIT
- Instructions
- 18 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 (2)
- SKILL.md
- audit.py · scripts/
SKILL.md (first lines)
# Semantic Structure Audit ## When to use Use this skill to determine if a website is missing structured data (JSON-LD), or if the existing structured data is invalid, incomplete, or conflicts with visible content. ## Inputs - `AuditContext` containing sampled pages and their extracted JSON-LD. ## Procedure 1. Extract JSON-LD blocks from the page structure. 2. Validate the presence of critical schema types (e.g. Product, Organization, Article, FAQPage). 3. Cross-reference the extracted structured data fields (name, description, price) against the explicit visible DOM facts to detect conflicts. 4. Generate findings if structured data is entirely missing, invalid, incomplete, or conflicts with the visible content. ## Output Appends Findings to the `AuditContext`.
From mahinigam/skill-marketplace, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 9, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mahinigam/skill-marketplace
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
semantic-structure-audit skill. Agent Mart. https://agentmart.dev/skills/mahinigam-semantic-structure-audit (last updated 2026-10-24)