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seo-social-cards

seo-social-cards is a skill for Claude Code from Hainrixz/claude-seo-ai. It costs 67 tokens per session (1,074 once invoked), scanned A, original, MIT.

A tool for checking and adding Open Graph and Twitter/X metadata, which controls how a web page appears when its link is shared in social networks, chats, or AI assistants.

In plain words
What is it for?
Use it to audit a page’s social-preview tags, check whether its image is correctly sized and reachable, and insert tags inferred from the page.
Why use it?
It finds missing or invalid titles, descriptions, URLs, and preview images before shared links display incomplete or misleading cards.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the claude-seo-ai plugin — 34 skills, 5 agents, 1 hook shipped together

not rated 59repo +9 changed 4d ago A scan 67 tokens original MIT

Good fit Use it to audit a page’s social-preview tags, check whether its image is correctly sized and reachable, and insert tags inferred from the page.

Compare 6 skills from other repositories ↓
View source ↗ Hainrixz/claude-seo-ai tododeia.com
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Hainrixz/claude-seo-ai
Claude Code
/plugin install claude-seo-ai

Made for: Claude Code.

Or install claude-seo-ai, the plugin that ships this one along with the rest of its 34 skills, 5 agents, 1 hook.

Wrote 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.

agentmods badge for seo-social-cards

README.md
[![agentmods](https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/seo-social-cards/github.svg)](https://agentmods.dev/skills/hainrixz/claude-seo-ai/seo-social-cards)
Your own site
<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/seo-social-cards"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/seo-social-cards/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.

agentmods 80×15 button for seo-social-cards

Your own site · 80×15
<a href="https://agentmods.dev/skills/hainrixz/claude-seo-ai/seo-social-cards"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-seo-ai/seo-social-cards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,074 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.01074
Opus 5 $0.00034 $0.00537
Sonnet 5 $0.00013 $0.00215
Haiku 4.5 $0.00007 $0.00107

Measured 4d ago against content hash 7e26de9639bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-social-cards 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 4d 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.

skills/seo-social-cards/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

seo-social-cards (M8)

Social cards control how a URL renders when shared on social, chat, and AI assistants — a CTR/sharing signal, not a ranking one (see Honesty). Open Graph metadata is the same <head>-level hygiene tier as the structured-data work in references/schema-tier1.md, so audit it alongside that module.

Inputs

Work from the PageSnapshot named in your dispatch envelope: read parsed from <run_dir>/pages/<slug>.json (metas[] for og:*/twitter:*, canonicals[], images[]); Grep pages/<slug>.html for verbatim evidence; site artifacts live in <run_dir>/site/{robots.json,sitemaps.json,discovery.json}. Deterministic findings already emitted by audit.mjs are listed in <run_dir>/findings.deterministic.json — do not re-emit those ids; add model-judged findings only. If invoked directly with a URL/path and no snapshot exists, first run node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <target> --out "${CLAUDE_PLUGIN_DATA}/runs" and use the printed snapshot path.

Audits

Working from the PageSnapshot (parsed_rendered when render.used is not none, else parsed):

  1. OG content: og:title, og:description, og:url, og:type present and non-empty; og:url matches the canonical; og:type sane for the page (e.g. article vs website).
  2. OG image: og:image present, ~1200x630 (1.91:1) and >=200x200, and reachable (HTTP 200, image content-type, absolute URL).
  3. Twitter/X: twitter:card (prefer summary_large_image); twitter:title, twitter:description, twitter:image. Twitter falls back to OG when these are absent — note when it is relying on OG.
  4. Fallback behavior: when OG is absent entirely, record what crawlers would derive (<title>, meta description, first content <img>) so the finding shows the actual degraded card, not a guess.

Fixes

  • AUTO (fixable: auto): inject a complete OG + Twitter card block derived from the page's <title>/<h1>, meta description, canonical URL, and first in-content image. Additive, deterministic, emitted as a diff for fix.
  • The tool cannot create an image asset. It wires og:image/twitter:image once a real path exists; until then it leaves a clearly-marked TODO placeholder (no invented URL or dimensions). Never fabricate title/description text — derive from on-page content or leave the user a TODO.

Read the full file on GitHub · 39 lines

Changes

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.

  1. 4d ago Changed 7e26de9639bd
  2. 6d ago Changed · +3 lines cfa4c3db0c55
  3. 12d ago First seen · 36 lines · 67 tokens per session scan A 867d3a6d15b0

Subscribe to this mod's changes

seo-social-cards is a skill published in the GitHub repository Hainrixz/claude-seo-ai (59 stars, last pushed 5d ago), licensed MIT. It adds 67 tokens to every session and 1,074 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.

Claude CodeMarketing and SEOaeoai-searchanswer-engine-optimizationclaude-pluginclaude-skills
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