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.
npx skills add bestdeejay-design/agent-skills --skill seo-schemagit clone --depth 1 https://github.com/bestdeejay-design/agent-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/skills/bestdeejay-design/agent-skills/seo-schema)<a href="https://agentmods.dev/skills/bestdeejay-design/agent-skills/seo-schema"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-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/skills/bestdeejay-design/agent-skills/seo-schema"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-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 | $0.00130 | $0.00793 |
| Opus 5 | $0.00065 | $0.00396 |
| Sonnet 5 | $0.00026 | $0.00159 |
| Haiku 4.5 | $0.00013 | $0.00079 |
Grade A, and why
seo-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 today.
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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Schema — structured data & meta markup
Use this skill for the markup layer of SEO: structured data (JSON-LD / schema.org) and meta tags (title, description, Open Graph, Twitter Cards).
Commands (documented in commands/)
| Command | What it does |
|---|---|
seo-schema |
JSON-LD schema.org: Product, Article, Organization, Breadcrumb, FAQ — validation |
seo-meta |
Title/description generation: lengths, uniqueness, CTR, Open Graph, Twitter Cards |
Script
python3 scripts/seo_schema.py --meta file.html # title/desc/OG/canonical/h1/img audit
python3 scripts/seo_schema.py --jsonld file.html # extract + validate JSON-LD blocks
--meta: title + length, description, canonical, og:title/description/image, twitter:card, robots, heading order, missing img alt.--jsonld: extractsapplication/ld+jsonblocks and validates@context(schema.org),@type, and type-specific required fields (Product→offers+name, Article/BlogPosting→headline+author, FAQPage→mainEntity, Organization→name+url).- Pure Python stdlib; stdin supported.
When to use
- User asks for "seo schema", "json-ld", "schema org", "structured data", "meta tags", "разметка", "структурированные данные".
- A page needs its schema.org markup and meta layer checked or written.
Do NOT use
- For the full technical audit / CWV / reports / fixes — that is
seo-audit. - For content / keywords / headings / images — that is
seo-content. - For crawlability / linking structure — that is
seo-crawl.
Boundaries
- Do not use for a full technical crawl or content rewrite; use
seo-crawlorseo-content.
Markup workflow and output contract
Identify the page type and source-of-truth values before generating JSON-LD. Parse every block independently, validate JSON and required fields, check absolute URLs and ISO dates, then report the exact block or file location. Generated markup must be valid JSON, use only facts present in the project, and be previewed as a diff before applying.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed · +12 lines ca15232b0560
- 12d ago First seen · 49 lines · 130 tokens per session scan A 55374e7843b2
seo-schema is a skill published in the GitHub repository bestdeejay-design/agent-skills (6 stars, last pushed today), licensed MIT. It adds 130 tokens to every session and 793 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
workflow
Use when a task is too large for turn-by-turn orchestration and should run through the big-task workflow lane: system-wide changes, large migrations, repo-wide audits, high-confidence verification, or tasks explicitly asking to run a workflow. Claude Code uses native dynamic workflows; Codex, OpenCode, and Grok use…
skill-compiler
Automatic solved-to-skill compiler — detects novel task completions and autonomously drafts new SKILL.md files. Stolen from Hermes Agent's learning loop (NousResearch, 2026-05-11).
context-compactor
9-section context compression with analysis scratchpad. Adapted from Claude Code's /compact system (2026-03-31).
daemon-loop
Autonomous recurring agent tasks — converts workflows into persistent background daemons that run on intervals. Stolen from Boris Cherny's Claude Code /loop pattern (2026-03-31).
trade-journal-analyzer
Unified post-trade analytics: journal pattern extraction + drawdown classification. Absorbs: drawdown-classifier.
Deep Research Loop
Multi-step web research, compilation, and synthesis workflow. Scrapes multiple sources, cross-references claims, and produces a structured research brief.