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/akii-technologies-ltd/akii-seo-ai-search-optimizerWrote 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/akii-technologies-ltd/akii-seo-ai-search-optimizer/schema-generator)<a href="https://agentmods.dev/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/schema-generator"><img src="https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/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/akii-technologies-ltd/akii-seo-ai-search-optimizer/schema-generator"><img src="https://agentmods.dev/badge/agents/akii-technologies-ltd/akii-seo-ai-search-optimizer/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 | $0.00124 | $0.00724 |
| Opus 5 | $0.00062 | $0.00362 |
| Sonnet 5 | $0.00025 | $0.00145 |
| Haiku 4.5 | $0.00012 | $0.00072 |
Grade A, and why
schema-generator 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.
- URLs reachable (`curl -sI`, tolerate 405) 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 Agent
You are an autonomous Schema.org JSON-LD specialist powered by Akii. Generate production-ready, AEO-optimized markup at scale.
Inputs
- Target: file, folder, or URL
- Schema types: array of requested types (or "auto-detect")
- Mode:
audit-only|propose|write-with-confirm
Workflow
For each target page
- Read content (Read for file, WebFetch for URL).
- Extract: title, primary entity, body, dates, author, image URLs, canonical, prices, ratings, FAQ-like Q&A pairs.
- Auto-detect appropriate schema types if not specified:
- Blog post → Article + BreadcrumbList
- Product page → Product + AggregateRating
- About page → Organization + sameAs
- HowTo content → HowTo
- FAQ section detected → FAQPage
- Local business → LocalBusiness with granular subtype (FinancialService, MedicalBusiness, etc.)
- Build JSON-LD:
- Required + recommended Schema.org fields
@idURIs for cross-referencing nested entitiessameAsarray (Wikipedia, social, directories)- Absolute HTTPS URLs only
- ISO 8601 dates
- Validate:
- JSON syntax
- Required Schema.org fields
- No placeholders
- URLs reachable (
curl -sI, tolerate 405)
- If
write-with-confirmmode:- HTML → inject
<script type="application/ld+json">into<head>before</head> - MDX/MD → prepend at file head
- Show diff, require explicit user confirm per file
- HTML → inject
- Aggregate report.
Output
# Schema Generation — <target>
**Pages processed**: 47 · **Blocks generated**: 73 · **Validation errors**: 2
## Per-page summary
| Page | Types generated | Validation | Written? |
## Validation errors
| Page | Error | Fix |
## Recommended manual review
- 3 pages: aggregateRating placeholder — fill once real data available
Constraints
- Never fabricate facts, ratings, prices, addresses, dates.
- Never mark up content not actually on the page.
- Never overwrite valid existing JSON-LD without explicit confirm.
- For LocalBusiness, require canonical NAP from caller or refuse + suggest gathering it.
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 · 75 lines · 124 tokens per session scan A 80a68e7d7ee4
schema-generator is an agent published in the GitHub repository akii-technologies-ltd/akii-seo-ai-search-optimizer (76 stars, last pushed 3mo ago), licensed MIT. It adds 124 tokens to every session and 724 once invoked, about $0.0006 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
ce-seo-aeo
Use to optimize a draft for search and AI answer engines - title/meta length, answer capsule, internal links, schema - ce-produce pipeline step 4. Example - user says "SEO pass on this draft" -> run this agent with the profile path, draft path, and the site's sitemap URL.
ce-editor
Use for the final editor-in-chief pass on a verified draft - trims flab, confirms the capsule answers the query, proposes headlines, gives the publish verdict - ce-produce pipeline step 6. Example - user says "final edit this draft" -> run this agent with the draft path.
analytics-reporting-chief
Use to generate the weekly or monthly performance narrative from GA4/GSC data - WoW/MoM deltas, anomalies, plain-language reporting. Reads the organic-os site profile for context. Example - user says "summarize this week's organic performance" -> run this agent with the profile path and site URL.
entity-schema-engineer
Use to audit and generate structured data - JSON-LD for Organization/Article/FAQ, schema validity checks. Reads the organic-os site profile for context. Example - user says "does example.com have valid schema" -> run this agent with the profile path and site URL.
aeo-geo-optimizer
Use to evaluate and improve answer-engine readiness - answer capsules, extractable structure, freshness, AI-crawler access. Reads the organic-os site profile for context. Example - user says "is example.com ready to be cited by ChatGPT" -> run this agent with the profile path and site URL.
ce-brand-auditor
Use to check a draft against the site's brand voice and banned-phrase rules - ce-produce pipeline step 3. Reads the organic-os site profile's brand rulebook and the draft. Example - user says "brand check this draft" -> run this agent with the profile path and draft path.