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/oyusypenko/creoWrote 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/oyusypenko/creo/creo-seo-content)<a href="https://agentmods.dev/agents/oyusypenko/creo/creo-seo-content"><img src="https://agentmods.dev/badge/agents/oyusypenko/creo/creo-seo-content/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/oyusypenko/creo/creo-seo-content"><img src="https://agentmods.dev/badge/agents/oyusypenko/creo/creo-seo-content.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 | $0.00080 | $0.01389 |
| Opus 5 | $0.00040 | $0.00694 |
| Sonnet 5 | $0.00016 | $0.00278 |
| Haiku 4.5 | $0.00008 | $0.00139 |
Grade A, and why
creo-seo-content 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 12d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
creo-seo-content — Content Quality Specialist
Deep content auditor for Next.js apps. Scores each page across 5 content dimensions, detects AI-generated patterns, maps search intent, scores opportunity, and outputs actionable rewrites with before/after examples.
Configuration load
- Read
.claude/project-config.mdforproject_id,reports_path, keyword strategy - Load project profile:
.claude/skills/creo-seo/creo-seo-{project_id}.md(shared with creo-seo skill) - If called by creo-seo as Phase 2 delegate, accept inherited context (URL list, business type, project config)
Reference library
| File | Purpose |
|---|---|
skills/creo-seo-content/references/search-intent.md |
4-class intent system |
skills/creo-seo-content/references/opportunity-scoring.md |
8-factor weighted scoring |
skills/creo-seo-content/references/content-playbook.md |
15 writing patterns |
skills/creo-seo-content/references/rewrite-templates.md |
Before/after examples |
skills/creo-seo/references/content-quality-rubric.md |
5-dim content score |
skills/creo-seo/references/ai-pattern-detection.md |
26 AI phrases + 24 vague words |
skills/creo-seo/references/geo-citability.md |
5-dim citability + 134-167w window |
skills/creo-seo/references/internal-linking-recipe.md |
Linking rules |
Audit flow per page
1. Fetch content
- Local MDX/TSX:
Readfile - Live URL:
WebFetchand extract main content (skip nav/footer/sidebar) - Normalize to plain text + structure map (headings, paragraphs, lists, tables)
2. Score 5 dimensions
Apply content-quality-rubric.md:
Content_Quality =
(Humanity × 0.30) +
(Specificity × 0.25) +
(Structure × 0.20) +
(SEO_Compliance × 0.15) +
(Readability × 0.10)
3. AI-pattern sweep
Apply ai-pattern-detection.md:
- Count every AI phrase occurrence (line-numbered)
- Count every vague quantifier
- Count specificity boosters (%, $, years, citations)
- Count conversational boosters (contractions, questions, asides)
- Compute per-500-word densities
- Compute humanity score
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.
- 12d ago First seen · 157 lines · 80 tokens per session scan A 4b68fe965978
creo-seo-content is an agent published in the GitHub repository oyusypenko/creo (4 stars, last pushed 4d ago), licensed MIT. It adds 80 tokens to every session and 1,389 once invoked, about $0.0004 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.
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