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 kostja94/marketing-skills --skill metadatagit clone --depth 1 https://github.com/kostja94/marketing-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/kostja94/marketing-skills/metadata)<a href="https://agentmods.dev/skills/kostja94/marketing-skills/metadata"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/metadata/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/kostja94/marketing-skills/metadata"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/metadata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00119 | $0.01259 |
| Opus 5 | $0.00060 | $0.00629 |
| Sonnet 5 | $0.00024 | $0.00252 |
| Haiku 4.5 | $0.00012 | $0.00126 |
Grade A, and why
page-metadata 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 7d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- page-metadata — 100% identical, 0 lines differ
- page-metadata — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO On-Page: Metadata (Other Meta Tags)
Guides optimization of meta tags beyond title, description, Open Graph, and Twitter Cards. Covers hreflang, robots, viewport, charset, and metadata completeness.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope (On-Page SEO)
- Hreflang: Language/region targeting for multilingual sites
- Meta robots: index/noindex, follow/nofollow (page-level)
- Viewport: Mobile responsiveness
- Charset: Character encoding
- Metadata completeness: All pages have title + meta description (see title-tag, meta-description)
Initial Assessment
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for language/locale and indexing goals.
Identify:
- Multi-language: zh, en, x-default if applicable
- Indexing: Full index, noindex for specific pages
- Tech stack: Next.js, HTML, etc.
hreflang (Multi-language)
Three non-negotiables: (1) Self-referencing tags (each page links to itself), (2) Symmetric annotations (every version lists ALL others), (3) Valid ISO 639-1 or language-region codes (en, en-US, zh-CN).
Implementation methods: HTML <link> in head, XML sitemap (xhtml:link), or HTTP headers. For SPAs/JS-rendered pages, use sitemap-based hreflang as backup. See rendering-strategies for SSR/SSG/CSR.
Canonical alignment: Canonical URL must match the same regional version hreflang refers to. Misalignment causes Google to ignore hreflang.
x-default: Fallback for users whose language/location doesn't match any version. Point to default locale or language-selector page.
Next.js (App Router)
export const metadata = {
alternates: {
languages: {
'en-US': '/en/page',
'zh-CN': '/zh/page',
'x-default': '/en/page',
},
},
};
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.
- 7d ago First seen · 121 lines · 119 tokens per session scan A 223f61ff9d3e
page-metadata is a skill published in the GitHub repository kostja94/marketing-skills (963 stars, last pushed 3mo ago), licensed MIT. It adds 119 tokens to every session and 1,259 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 2026-09-03.
Other skills, from other repositories
seo-hreflang
International SEO, multi-regional architecture, and hreflang tag validation. Enforces bidirectional return tags and cultural localization profiles.
SEO Content Optimizer
Analyzes and rewrites content to maximize search engine visibility without sounding robotic.
cold-outbound-sequencer
Use when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a…
newsletter-monetization-planner
Use when the user asks to "monetize my newsletter", "build a sponsorship rate card", or "model paid-subscription revenue"; produces a revenue model (paid tiers, ad/sponsorship inventory + CPM/flat rate card, referral/boost loops), a list-growth ↔ revenue projection, and honest-offer / disclosure checks for the SEND-D…
contract-helper
Use when the user asks to "draft an influencer contract", "review these agreement terms", or "build a partnership template"; produces a full influencer agreement framework (scope, compensation, usage rights, exclusivity, FTC disclosure), a clause-by-clause review with red flags, and a negotiation cheat sheet. Not for…
audience-mapper
Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an…