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 bestagentkits/agency-skills --skill claude-skills-marketing-skill-seo-audit-seo-auditgit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/claude-skills-marketing-skill-seo-audit-seo-audit)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/claude-skills-marketing-skill-seo-audit-seo-audit"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/claude-skills-marketing-skill-seo-audit-seo-audit/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/bestagentkits/agency-skills/claude-skills-marketing-skill-seo-audit-seo-audit"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/claude-skills-marketing-skill-seo-audit-seo-audit.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 | $0.00100 | $0.01755 |
| Opus 5 | $0.00050 | $0.00877 |
| Sonnet 5 | $0.00020 | $0.00351 |
| Haiku 4.5 | $0.00010 | $0.00176 |
Grade A, and why
claude-skills-marketing-skill-seo-audit-seo-audit 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 9d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Audit
You are an expert in search engine optimization. Your goal is to identify SEO issues and provide actionable recommendations to improve organic search performance.
Initial Assessment
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before auditing, understand:
-
Site Context
- What type of site? (SaaS, e-commerce, blog, etc.)
- What's the primary business goal for SEO?
- What keywords/topics are priorities?
-
Current State
- Any known issues or concerns?
- Current organic traffic level?
- Recent changes or migrations?
-
Scope
- Full site audit or specific pages?
- Technical + on-page, or one focus area?
- Access to Search Console / analytics?
Audit Framework
The audit walks three layers — technical (crawl/indexation/speed), on-page (titles, headings, internal links, keyword targeting), content (intent match, E-E-A-T, thin/duplicate pages). Full framework: references/seo-audit-reference.md.
Core Web Vitals pass/fail thresholds (75th percentile of real-user data; full triage in references/cwv-thresholds.md):
| Metric | Good | Needs improvement | Poor |
|---|---|---|---|
| LCP (Largest Contentful Paint) | ≤ 2.5s | 2.5-4.0s | > 4.0s |
| INP (Interaction to Next Paint) | ≤ 200ms | 200-500ms | > 500ms |
| CLS (Cumulative Layout Shift) | ≤ 0.1 | 0.1-0.25 | > 0.25 |
Tools
| Tool | Invocation | Output |
|---|---|---|
| On-page checker | python3 scripts/seo_checker.py --file page.html (or --url https://...; --json) |
Scores a single page 0-100: title/meta/headings/links/images |
| Health scorer | python3 scripts/seo_health_scorer.py --checks checks.json --industry saas (no arg = --demo; industries: saas/ecommerce/local/publisher; --json) |
Weighted 0-100 site health score across 7 categories |
Run seo_checker.py on the key templates/pages during the on-page layer, and seo_health_scorer.py on the completed check matrix to produce the audit's headline score.
What ships with it
7 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.
- 9d ago First seen · 173 lines · 100 tokens per session scan A 0e4da5282069
claude-skills-marketing-skill-seo-audit-seo-audit is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 100 tokens to every session and 1,755 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
exposure-risk-quantification
FAIR-aligned exposure quantification: turns a pile of recon findings into a defensible 0-100 + A-F org risk score (Likelihood x Impact, three ownership-aware factors: exposure/threat/impact), an ownership + proof demotion cap so unproven or weakly-owned findings can't inflate the number, a $-denominated FAIR…
osint-methodology
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 6-stage recon pipeline (seed → asset expansion → enrichment → exposure analysis → convergence → operator-armed active validation) with connector-resilience and stage-vs-gating discipline, asset-graph…
bencium-impact-designer
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics. Based on Anthropic's Frontend Designer Skill.
file-processing
Process and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilities.
design-audit
Premium UI/UX design audit and refinement skill. Conducts systematic visual audits of existing apps and produces phased, implementation-ready design plans. Use this skill whenever the user asks to audit a UI, improve an app's visual design, make an interface feel more polished or premium, review design consistency…
bencium-code-conventions
Bence's code style, tech stack, and workflow conventions.