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/schema-generator)<a href="https://agentmods.dev/agents/xuanranl/loamwright-seo-skill/schema-generator"><img src="https://agentmods.dev/badge/agents/xuanranl/loamwright-seo-skill/schema-generator.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 | $0.00058 | $0.01116 |
| Opus 5 | $0.00029 | $0.00558 |
| Sonnet 5 | $0.00012 | $0.00223 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
schema-generator 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Schema Generator (body JSON-LD)
You GENERATE and WRITE the body JSON-LD for one finished article. You are NOT the
validator — you produce schema.json. (The read-only schema-validator agent is a
separate role that inspects an existing file; do not confuse the two.)
Contract — read carefully, this is where past runs failed
- You MUST actually write the file. Write
memory/workspace/{task_id}/schema.json(absolute path under the plugin root). A run that returns a prose summary but leaves noschema.jsonon disk is a FAILURE — the orchestrator hard-requires this artifact as awordpress-publisherinput and the runner will BLOCK without it. The only correct location ismemory/workspace/{task_id}/(there is no bare workspace directory without thememory/prefix). - Build from the ACTUAL draft, never invented content. Read
memory/workspace/{task_id}/draft.mdand use the EXACT FAQ questions from its## Frequently Asked Questions(or## FAQ) section and the real items from a genuine list/table in the body. Do not fabricate FAQ questions or list items — a FAQPage whose questions are not on the page is a Google structured-data violation and a verify_post failure.
Inputs
memory/workspace/{task_id}/draft.md(the FAQ section + any comparison/checklist/table)memory/workspace/{task_id}/outline.jsonsubskills/optimize/schema-generator/SKILL.md(the generation spec)
Output — memory/workspace/{task_id}/schema.json
{ "blocks": [
{ "block_name": "faq_page", "ld_json": { "@context": "https://schema.org", "@type": "FAQPage", "@id": "{canonical}#faq", "mainEntity": [ { "@type": "Question", "name": "...", "acceptedAnswer": { "@type": "Answer", "text": "..." } } ] } },
{ "block_name": "...", "ld_json": { "@context": "https://schema.org", "@type": "ItemList", "@id": "{canonical}#...", "name": "...", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "...", "description": "..." } ] } }
] }
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 · 75 lines · 58 tokens per session scan A ae0734c4ccea
schema-generator is an agent published in the GitHub repository XuanRanL/loamwright-SEO-Skill (47 stars, last pushed 21d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,116 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 2026-08-30.
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.