Agent skill

Keyword Stuffing

by thedaviddias in thedaviddias/Front-End-Checklist

A skill your agent uses when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural…

MITAuto-check passedMarketing & SEO

Install Keyword Stuffing

skills CLI
$ npx skills add thedaviddias/Front-End-Checklist --skill keyword-stuffing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install thedaviddias/Front-End-Checklist keyword-stuffing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/thedaviddias/Front-End-Checklist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keyword-stuffing .claude/skills/keyword-stuffing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
keyword-stuffing
GitHub stars
74k
Token cost
~896 tokens
SKILL.md length
426 words
Files
2 (incl. references)
Skills in repo
390
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural…

  • Works in 6 steps: Rewrite keyword-dense passages using… → Remove keyword lists from meta… → Fix keyword-stuffed alt text: replace… → …
  • Auditing content pages for over-optimisation
  • SKILL.md covers Quick Reference, Check, Fix and Explain, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Keyword Stuffing is an agent skill from thedaviddias/Front-End-Checklist. Use when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural keyword accumulation.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/rule.md`).

It sits in Marketing & SEO, covering On-page SEO. The repository describes itself as: 🗂 The essential checklist for modern web development, for humans and AI agents. The licence is MIT.

When your agent uses it

  • Auditing content pages for over-optimisation
  • Reviewing AI-generated content that may repeat target phrases excessively
  • Checking meta tags and alt text for unnatural keyword accumulation

Example prompts

  • “/keyword-stuffing”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Rewrite keyword-dense passages using natural language variation
  2. Remove keyword lists from meta descriptions — write a single natural sentence.
  3. Fix keyword-stuffed alt text: replace "cheap flights london paris affordable flights" with "Passenger cabin view on London to Paris flight"
  4. If AI-generated content was used, review for repetitive phrasing and rewrite with varied terminology.
  5. Check for hidden text using browser DevTools CSS computed styles — remove any keyword content in hidden elements.
  6. Test the page's readability with the Flesch Reading Ease score — awkward keyword insertion lowers readability scores.

What it can do on your machine

Read from SKILL.md and the folder at commit e8d14d0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • frontendchecklist.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Keyword Stuffing loads about 896 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 426 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~896
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from thedaviddias/Front-End-Checklist at commit e8d14d0, republished under its MIT licence (© thedaviddias). 426 words, ~896 tokens.

Download SKILL.mdSave it as .claude/skills/keyword-stuffing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
keyword-stuffing
description
Use when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural keyword accumulation.
metadata.category
seo
metadata.priority
medium
metadata.difficulty
intermediate
metadata.estimatedTime
10
metadata.source
frontendchecklist.io
metadata.url
https://frontendchecklist.io/rules/seo/keyword-stuffing

Avoid keyword stuffing

Google's spam detection algorithms penalise pages that unnaturally repeat keywords to manipulate rankings. Keyword-stuffed pages are demoted in search results or removed from the index entirely. Natural, reader-focused writing with topical variation outperforms keyword-dense content.

Quick Reference

  • Keyword density above ~2–3% for any single term is a signal of keyword stuffing — write for readers, not keyword counters
  • Repeating keywords unnaturally in titles, headers, alt text, or meta descriptions triggers Google's spam filters
  • Google's algorithms (Panda, SpamBrain) penalise pages with manipulative keyword density; natural language variation is rewarded

Check

Analyse the page's main content body, <title>, <meta name='description'>, heading elements (H1–H6), and <img alt> attributes. Flag: (1) Any single keyword or phrase appearing more than 3× in the title tag. (2) Any keyword with a density above 3% of total word count. (3) Lists of keywords with no context (e.g., 'cheap flights, affordable flights, discount flights, best flight deals'). (4) Alt text that is a comma-separated list of keywords instead of a description. (5) Hidden text (white text on white background, or display:none containing keywords).

Fix

  1. Rewrite keyword-dense passages using natural language variation:
    • Instead of repeating "SEO best practices" 8 times, use: "search engine optimisation", "ranking strategies", "organic search tips", "on-page SEO"
  2. Remove keyword lists from meta descriptions — write a single natural sentence.
  3. Fix keyword-stuffed alt text: replace "cheap flights london paris affordable flights" with "Passenger cabin view on London to Paris flight"
  4. If AI-generated content was used, review for repetitive phrasing and rewrite with varied terminology.
  5. Check for hidden text using browser DevTools CSS computed styles — remove any keyword content in hidden elements.
  6. Test the page's readability with the Flesch Reading Ease score — awkward keyword insertion lowers readability scores.
Show full SKILL.md (138 more words)Show less

Explain

Google's Panda algorithm (now core to its main ranking system) and SpamBrain spam detection specifically target content with unnatural keyword density. Pages that appear to manipulate keyword frequency are demoted or removed from results. Google's documentation explicitly cites 'stuffing keywords into your content' as a violation of its quality guidelines. Natural writing that covers a topic comprehensively, using synonyms and related terms, outperforms keyword-dense content.

Code Review

Extract text content from the page body (strip HTML tags). Tokenise into words. Compute frequency of each unique word and common phrases (bigrams, trigrams). Flag any word/phrase appearing more than 3% of total word count. Also check <title>, <meta name='description'>, and alt attributes for repeated keywords. Report top 5 most frequent terms and their density percentages.


For full implementation details, code examples, and framework-specific guidance, see references/rule.md.

Rule page: https://frontendchecklist.io/rules/seo/keyword-stuffing

© thedaviddias, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/keyword-stuffing of thedaviddias/Front-End-Checklist.

  • SKILL.md
  • references/rule.md

Open the folder on GitHubat commit e8d14d0

Compare with similar skills

Keyword Stuffing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Keyword Stuffing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Keyword Stuffing this skillthedaviddias/Front-End-Checklist74k—~896Automated safety check: PassMIT
SEO Keyword ClusteringAgriciDaniel/claude-seo19k2 repos~3.3kAutomated safety check: PassMIT
SEO Content Brief GeneratorAgriciDaniel/claude-seo19k2 repos~2.6kAutomated safety check: PassMIT
Nemoclaw Maintainer Normalize Title TagsNVIDIA/NemoClaw23k—~693Automated safety check: PassApache-2.0
SEO Optimizerailabs-393/ai-labs-claude-skills4551 repos~3.2kAutomated safety check: PassMIT
AI Citability Scorerzubair-trabzada/geo-seo-claude11k2 repos~3.7kAutomated safety check: NotesMIT

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Categories

Questions about Keyword Stuffing

What does Keyword Stuffing do?

A skill your agent uses when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural…. Keyword Stuffing is an agent skill from thedaviddias/Front-End-Checklist. Use when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural keyword accumulation.

When should I use Keyword Stuffing?

Keyword Stuffing fits situations like: auditing content pages for over-optimisation; reviewing AI-generated content that may repeat target phrases excessively; checking meta tags and alt text for unnatural keyword accumulation.

How do I install Keyword Stuffing in Claude Code?

Run `npx skills add thedaviddias/Front-End-Checklist --skill keyword-stuffing -a claude-code`. Or copy the skill folder (skills/keyword-stuffing in thedaviddias/Front-End-Checklist) into .claude/skills/keyword-stuffing in your project. Claude Code loads it when a task matches its description.

How do I install Keyword Stuffing in Codex?

Run `npx skills add thedaviddias/Front-End-Checklist --skill keyword-stuffing -a codex`. Or copy the skill folder (skills/keyword-stuffing in thedaviddias/Front-End-Checklist) into .agents/skills/keyword-stuffing in your project. Codex loads it when a task matches its description.

Can I use Keyword Stuffing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add thedaviddias/Front-End-Checklist --skill keyword-stuffing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keyword-stuffing, .gemini/skills/keyword-stuffing, .github/skills/keyword-stuffing and .opencode/skills/keyword-stuffing in your project.

What does Keyword Stuffing need to run?

SKILL.md names no scripts, command-line tools or credentials: Keyword Stuffing is instructions for the agent only.

Does Keyword Stuffing access the network?

SKILL.md names 1 domain. As links in the text: frontendchecklist.io. This is read from the text; nothing was executed.

Is Keyword Stuffing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Keyword Stuffing use?

Keyword Stuffing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Keyword Stuffing use?

About 896 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Keyword Stuffing?

Skills that share tags, products or a category with Keyword Stuffing: SEO Keyword Clustering (AgriciDaniel/claude-seo, 19k stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), Nemoclaw Maintainer Normalize Title Tags (NVIDIA/NemoClaw, 23k stars) and SEO Optimizer (ailabs-393/ai-labs-claude-skills, 455 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keyword Stuffing?

thedaviddias (a GitHub user) maintains it in thedaviddias/Front-End-Checklist, which has 74,421 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 6, 2026.

Source: thedaviddias/Front-End-Checklist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.