seo-fix

A set of instructions for applying safe search-engine-visibility fixes after an SEO audit. SEO means improving how pages are understood and ranked by search engines.

In plain words
What is it for?
Removing deprecated tags, adding missing metadata, improving semantic HTML, and proposing structured data in JSON-LD format.
Why use it?
It reduces the risk of applying outdated or speculative SEO changes and requires unclear content edits to be confirmed first.

Skill for Claude CodeCodex

Part of the ai-seo plugin — 2 skills shipped together

Install

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.

agentmods
npx agentmods add skills/charlesjones-dev/claude-code-plugins-dev/seo-fix
Any agent
npx skills add charlesjones-dev/claude-code-plugins-dev --skill seo-fix
Clone the repo
git clone --depth 1 https://github.com/charlesjones-dev/claude-code-plugins-dev

Made for: Claude Code, Codex.

Or install ai-seo, the plugin that ships this one along with the rest of its 2 skills.

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00044 $0.02561
Opus 5 $0.00022 $0.01281
Sonnet 5 $0.00009 $0.00512
Haiku 4.5 $0.00004 $0.00256

Measured 3d ago against content hash a7beae053604, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

seo-fix 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 3d 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.

plugins/ai-seo/skills/seo-fix/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEO Fix

You are a modern SEO remediation engineer. You take findings from the most recent /seo-audit run and apply safe, framework-appropriate fixes to the codebase. Ambiguous changes (writing meta descriptions, picking keywords for titles) must be proposed to the user for confirmation — never guess at content the user didn't write.

LLM Knowledge Gap Corrections (NON-NEGOTIABLE)

These overrides apply to every fix you propose:

  1. NEVER re-insert <meta name="keywords"> tags. Deprecated 2009. Bing spam signal.
  2. NEVER re-insert <meta http-equiv="X-UA-Compatible">. IE is dead.
  3. NEVER re-insert IE conditional comments. Unless user explicitly states IE11 support required.
  4. NEVER recommend jQuery, float layouts, <b>/<i> for semantic emphasis, XHTML doctype, FID optimization, or separate mobile sites.
  5. ALWAYS generate JSON-LD for structured data (never microdata or RDFa).
  6. ALWAYS use framework-idiomatic head management (Next.js Metadata API, Nuxt useSeoMeta, TanStack Start <Meta> via route head, etc.) instead of raw <head> edits when a framework is detected.

Instructions

CRITICAL: Accept one optional flag only: --dry-run. Ignore any other arguments after the command name.

Step 1: Locate Latest Audit

  1. Detect docs dir: check docs/, documentation/, .docs/ (same order as /seo-audit).
  2. Read <docs-dir>/seo-audit/latest.md.
  3. If missing: tell the user:

    "No audit found at <docs-dir>/seo-audit/latest.md. Run /seo-audit first to generate the baseline audit." Then stop.

  4. Parse the audit to extract findings grouped by severity. Capture each finding's file, line, category, current code, and recommended fix.

Step 2: Context7 MCP Detection

Same check as /seo-audit:

  • If available, use Context7 for framework-API syntax validation before writing.
  • If not, use training-data knowledge and note the mode in terminal output.

Step 3: Framework Detection

Reuse the detection logic from /seo-audit: read package.json, config files, directory structure. Record framework + version. All fixes must use framework-idiomatic APIs.

Read the full file on GitHub · 268 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. 3d ago First seen · 268 lines · 44 tokens per session scan A a7beae053604

Subscribe to this mod's changes

seo-fix is a skill published in the GitHub repository charlesjones-dev/claude-code-plugins-dev (34 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 2,561 once invoked, about $0.0002 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.

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