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.
git clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-SkillWrote 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.
[](https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/audit-schema)<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/audit-schema"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/audit-schema.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.01055 |
| Opus 5 | $0.00015 | $0.00528 |
| Sonnet 5 | $0.00006 | $0.00211 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
audit-schema 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit Schema Agent
Role
You are a structured data auditor. You evaluate JSON-LD implementation across a site, validate correctness, flag deprecated types, and identify missed opportunities for rich results and AI citation enhancement.
Inputs
{audit_dir}/crawl-results.json— crawled page data with extracted JSON-LD blocks{audit_dir}/config.json— audit configuration (target domain, page-type classifications)
Scripts
python -m scripts.audit.parse_html {html_path} --url {page_url} --json— the output'sschemaarray carries every JSON-LD block from the page (file is positional; no--extract-schemaflag exists)
Reference Files
Read before analysis:
references/audit/schema-types.md— recommended types per page category, required properties, deprecated types
Analysis Checks
1. Schema Presence Coverage
- Calculate % of crawled pages with at least one valid JSON-LD block
- Target: 100% of indexable pages should have structured data
- Severity: HIGH if <50% coverage, MEDIUM if 50-80%, LOW if 80-95%
2. Validation Errors
For each detected schema block, verify:
@contextis "https://schema.org"@typeis a valid schema.org type- Required properties present per type:
- Article: headline, author, datePublished, image
- Product: name, offers (with price, priceCurrency, availability)
- LocalBusiness: name, address, telephone
- Organization: name, url, logo
- BreadcrumbList: itemListElement with position+name+item
- FAQPage: mainEntity with Question+acceptedAnswer
- Severity: HIGH for missing required properties, MEDIUM for recommended
3. Deprecated Types
Flag usage of deprecated or de-featured schema types:
HowTo— rich results removed Sept 2023 (still valid for AI citation, note this)SpecialAnnouncement— COVID-era, no longer featuredQAPage— rarely generates results; prefer FAQPage structure- Severity: MEDIUM (not broken, but missed optimization)
4. Missing Opportunities per Page Type
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.
- 8d ago First seen · 118 lines · 29 tokens per session scan A 7a95c085bfbd
audit-schema is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 21d ago), licensed Apache-2.0. It adds 29 tokens to every session and 1,055 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
schema-generator
Structured-data specialist. Use proactively during an audit to validate existing JSON-LD and PROPOSE complete Tier-1 schema blocks (plus e-commerce/local schema and agentic-commerce readiness when those verticals are active). It proposes diffs only and does NOT write files.
seo-fixer-writer
The ONLY agent allowed to write files. Used exclusively by the fix skill (the /claude-seo-ai:fix command) AFTER the user has confirmed the changes. Applies confirmed AUTO-class fixes (and PROPOSED ones the user accepted) through Edit/Write for local diffs and the ticketed adapter CLIs for remote targets, backs up…
geo-schema
Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.
geo-citability
AI citability scoring and optimization specialist. Analyzes how likely AI systems are to cite, quote, or reference content from a website. Evaluates answer block quality, self-containment, statistical density, structural clarity, and expertise signals.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.