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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" 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 5.5 | $0.00023 | $0.00446 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (50 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,116 once invoked, about $0.0002 per session on Opus 5.5. 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
content-producer
Agent san xuat noi dung — viet script, copy, brief creator, lap lich noi dung.
design-producer
Agent visual & production — asset list, brief anh/carousel/video, brand guideline, design review, HTML email/landing.
mkt-strategist
Agent chien luoc marketing — lap ke hoach, nghien cuu thi truong, phan tich doi thu, xay dung chien luoc thuong hieu.
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…
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.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.