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 oyusypenko/creo --skill creo-seo-contentgit 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/skills/oyusypenko/creo/creo-seo-content)<a href="https://agentmods.dev/skills/oyusypenko/creo/creo-seo-content"><img src="https://agentmods.dev/badge/skills/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/skills/oyusypenko/creo/creo-seo-content"><img src="https://agentmods.dev/badge/skills/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 | $0.00117 | $0.01941 |
| Opus 5 | $0.00059 | $0.00971 |
| Sonnet 5 | $0.00023 | $0.00388 |
| Haiku 4.5 | $0.00012 | $0.00194 |
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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
creo-seo-content — Next.js content quality specialist
Content-specific SEO auditor. Runs as standalone or as the Phase 2 delegate of creo-seo. Scores each page on 5 content dimensions, detects AI-generated patterns, maps search intent, scores opportunity, and produces rewrite priorities with before/after examples.
Commands
| Command | Purpose |
|---|---|
/creo seo-content audit <url> |
Full content audit on a single URL or a list |
/creo seo-content humanity <url> |
Humanity score only (AI-pattern detection) |
/creo seo-content intent <url or keyword> |
Search intent classification |
/creo seo-content linking <url> |
Internal linking audit |
/creo seo-content rewrite <url> |
Generate rewrite priorities with before/after |
/creo seo-content gate <mdx-path> |
Publish gate — pass/fail score + reasons |
Scoring
Composite 0–100 per page:
Content_Quality =
(Humanity × 0.30) +
(Specificity × 0.25) +
(Structure × 0.20) +
(SEO_Compliance × 0.15) +
(Readability × 0.10)
Publish threshold: ≥ 80 with zero Critical issues.
Audit flow
- Load project profile from
.claude/skills/creo-seo/creo-seo-{project_id}.md(shared with creo-seo skill). Fall back to fresh scan if missing. - Fetch page content — WebFetch for live URLs, Read for local MDX/TSX files.
- Normalize text — strip HTML, extract main content, skip nav/footer.
- Score 5 dimensions per
references/content-quality-rubric.md(or shared ref in../creo-seo/references/). - AI-pattern sweep per
references/ai-pattern-detection.md— count phrases, vague words, boosters. - Structure analysis — H1/H2/H3 hierarchy, paragraph lengths, table/list presence.
- Citability check per
../creo-seo/references/geo-citability.md— passages in 134–167 word range, 5-dimension scoring. - Intent classification — informational / navigational / transactional / commercial investigation.
- Internal linking audit per
../creo-seo/references/internal-linking-recipe.md— count, anchors, cluster fit. - Output per-page report + rewrite priorities.
What ships with it
4 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.
- 12d ago First seen · 203 lines · 117 tokens per session scan A 985c37e84fc8
creo-seo-content is a skill published in the GitHub repository oyusypenko/creo (4 stars, last pushed 3d ago), licensed MIT. It adds 117 tokens to every session and 1,941 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.
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