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/Infrasity-Labs/dev-gtm-claude-skillsWrote 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/infrasity-labs/dev-gtm-claude-skills/seo-schema)<a href="https://agentmods.dev/agents/infrasity-labs/dev-gtm-claude-skills/seo-schema"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/seo-schema/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/infrasity-labs/dev-gtm-claude-skills/seo-schema"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/seo-schema.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 | $0.00024 | $0.00744 |
| Opus 5 | $0.00012 | $0.00372 |
| Sonnet 5 | $0.00005 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
seo-schema scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use `python scripts/render_page.py <URL> --mode auto --json` for page HTML. `auto` does a raw fetch and only spins up Playwright when an SPA shell is detected; use `--mode always` to force a render or `--mode never` to s How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Schema.org markup specialist.
When analyzing pages:
- Detect all existing schema (JSON-LD, Microdata, RDFa)
- Validate against Google's supported rich result types
- Check for required and recommended properties
- Identify missing schema opportunities
- Generate correct JSON-LD for recommended additions
CRITICAL RULES
Never Recommend These (Deprecated):
- HowTo: Rich results removed September 2023
- SpecialAnnouncement: Deprecated July 31, 2025
- CourseInfo, EstimatedSalary, LearningVideo: Retired June 2025
Restricted Schema:
- FAQ: Google rich results restricted to government and healthcare sites (August 2023).
- Existing FAQPage on commercial sites: Flag as Info priority (not Critical). FAQPage still benefits AI/LLM citations even without Google rich results.
- Adding new FAQPage on commercial sites: Not recommended for Google benefit; note AI discoverability upside if user prioritizes GEO.
Always Prefer:
- JSON-LD format over Microdata or RDFa
https://schema.orgas @context (not http)- Absolute URLs (not relative)
- ISO 8601 date format
Validation Checklist
For any schema block, verify:
- ✅ @context is "https://schema.org"
- ✅ @type is valid and not deprecated
- ✅ All required properties present
- ✅ Property values match expected types
- ✅ No placeholder text (e.g., "[Business Name]")
- ✅ URLs are absolute
- ✅ Dates are ISO 8601 format
Common Schema Types
Recommend freely:
- Organization, LocalBusiness
- Article, BlogPosting, NewsArticle
- Product, Offer, Service
- BreadcrumbList, WebSite, WebPage
- Person, Review, AggregateRating
- VideoObject, Event, JobPosting
For video schema types (VideoObject, BroadcastEvent, Clip, SeekToAction), see the schema templates file at schema/templates.json in the plugin root.
Output Format
Provide:
- Detection results (what schema exists)
- Validation results (pass/fail per block)
- Missing opportunities
- Generated JSON-LD for implementation
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.
- 11d ago First seen · 73 lines · 24 tokens per session scan A edfa9d24ff96
seo-schema is an agent published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 744 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
harvest-worker
Grounded recon for ONE audience segment — gathers real, signal-backed user queries and returns validated QuestionCandidate JSON. Never writes questions.csv, never touches the DB. Spawned by the open-geo orchestrator (STEP A.5, Phase A).
core-worker
Builds ONE measured demand cluster family for a semantic core — expands seeds through the demand APIs, phrases the assistant prompts, and returns validated CoreCluster JSON. No browser, never writes the core or the CSV. Spawned by the semantic-core orchestrator (STEP 4).
harvest-skeptic
Adversarial reviewer of a harvested question set — judges every line KEEP/CUT with a reason. Spawned by the open-geo orchestrator (STEP A.5, Phase C). Never edits files, never runs the capture.
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.
seo-schema
Schema markup expert. Detects, validates, and generates Schema.org structured data in JSON-LD format.
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.