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/ViryaZheng/recomby-geoWrote 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/commands/viryazheng/recomby-geo/06-distribution)<a href="https://agentmods.dev/commands/viryazheng/recomby-geo/06-distribution"><img src="https://agentmods.dev/badge/commands/viryazheng/recomby-geo/06-distribution/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/commands/viryazheng/recomby-geo/06-distribution"><img src="https://agentmods.dev/badge/commands/viryazheng/recomby-geo/06-distribution.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 | $0.00063 | $0.02193 |
| Opus 5 | $0.00032 | $0.01097 |
| Sonnet 5 | $0.00013 | $0.00439 |
| Haiku 4.5 | $0.00006 | $0.00219 |
Grade A, and why
06-distribution 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 10d 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
06 · Distribution & Schema — Publish-Ready Bundle
The skill that turns a draft into a deployable artifact: structured data for SERP rich results AND for AI-engine entity recognition, internal links to anchor topical authority, third-party seeding to build cross-domain mention density.
Inputs
clients/<slug>/brand_context.jsonclients/<slug>/content_priorities.json(priority record for this id)clients/<slug>/drafts/<id>.mdclients/<slug>/drafts/<id>.meta.jsonclients/<slug>/content_assets[]from brand_context (for internal-link candidates)
Output
clients/<slug>/distribution/<id>.json— machine-readable bundle: schema-jsonld, internal-link plan, external-link targets, llms.txt fragment.clients/<slug>/distribution/<id>.publish-bundle.md— human-readable publishing checklist for whoever uploads to the CMS.- Append to
clients/<slug>/distribution/log.jsonl— one line per publish event, used by 07-reaudit for attribution.
Procedure
Step 1 — Determine schema type
From the priority's recommended_format:
| format | Schema.org type |
|---|---|
| comparison-page | Article + ItemList of compared entities |
| deep-guide | Article + HowTo (if step-shaped) |
| case-study | Article + Review (with subject) |
| data-report | Dataset + Article |
| how-to | HowTo |
| faq-block | FAQPage |
| definition-page | DefinedTerm + Article |
| expert-essay | Article + Person (author) |
| list-roundup | ItemList + Article |
For all types, also include Organization (from brand_context) and
BreadcrumbList.
Step 2 — Generate JSON-LD
Use seo-geo-optimizer/scripts/schema_generator.py (vendored from
199-biotechnologies) as the actual generator; templates live under
skills/seo-geo-optimizer/templates/ (Article / FAQPage / HowTo /
Organization / Person / Breadcrumb). Don't re-implement. Pass:
- Article fields: headline, datePublished, author (from brand_context), publisher (Organization), articleBody (extracted from draft).
- Type-specific fields per Step 1 mapping.
- Author Person object with E-E-A-T signals (sameAs links, knowsAbout).
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.
- 10d ago First seen · 243 lines · 63 tokens per session scan A 626f0300a25b
06-distribution is a command published in the GitHub repository ViryaZheng/recomby-geo (454 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 2,193 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.
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