quality

quality is a skill for Claude Code, Codex from ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool. It costs 21 tokens per session (526 once invoked), scanned A, original, MIT.

A content-quality review that fixes readability, trust, author experience, examples, headings, FAQs, and structured-data issues in drafts.

In plain words
What is it for?
Use it to shorten difficult writing, add sources and dates, improve structure, and list missing author details, firsthand experience, or disclosures.
Why use it?
It finds problems that can make content difficult to read or less trustworthy, while separating fixes that require information only you can provide.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to shorten difficult writing, add sources and dates, improve structure, and list missing author details, firsthand experience, or disclosures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/quality
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.

Any agent
npx skills add ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool --skill quality
Clone the repo
git clone --depth 1 https://github.com/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool

Made for: Claude Code, Codex.

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 quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/quality/github.svg)](https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/quality)
Your own site
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/quality"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/quality/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 quality

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/quality"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 526 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 $0.00021 $0.00526
Opus 5.5 $0.00008 $0.00210
Sonnet 5.5 $0.00004 $0.00105
Haiku 4.5 $0.00002 $0.00053

Measured yesterday against content hash fb62af351c2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

quality 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • quality — 95% identical, 0 lines differ
skills/quality/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality pass

Make the fixes a draft's Quality checks ask for (E-E-A-T, Trust and Readability), and leave a short list of what only the person can add.

When to use

  • "Run a quality pass on the drafts under 60", "Fix this draft's readability", "What does this draft still need?"
  • The Quality tab in the Content Editor shows each draft's scores. When the person names no drafts, ask which ones, or list the drafts and let them pick.

What to read

  1. list_drafts: the brand's drafts, latest changed first.
  2. get_draft for each draft you work on, at most three in one run: its passages, its sources, and which passages AI quotes (locked).

Steps

  1. For each draft, find what the checks look for:
    • Readability: sentences over about 25 words, paragraphs over about 5 sentences, jargon without a definition.
    • Trust: claims without a source, figures without a date, a missing disclosure where the brand compares itself or recommends its own product.
    • E-E-A-T: no author, no first-hand experience, no examples.
    • Structure: headings that don't say what the section answers, a missing FAQ or schema.
  2. Fix what you can fix from the draft itself: split sentences, reorder, add headings, define terms, mark claims that need a source.
  3. Give the fixes as Before and After for each passage. When the person wants them kept as a new draft, save it with create_draft; the app asks them first when it should. In an agent's run nobody is there to ask: always save it with its tool, and the app holds it for approval where the agent's mode needs it.
  4. List what only the person can give: quotes, first-hand data, customer examples, the author and their credentials, sources for marked claims.

Output

For each draft: the fixes made, then "Only you can add" as a short to-do list.

Don't

  • Don't invent quotes, authors, credentials, studies, customers or figures to pass a check.
  • Keep the passages AI quotes word for word.
  • Don't change what a passage claims: only how it says it.

Read the full file on GitHub · 44 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. yesterday First seen · 44 lines · 21 tokens per session scan A fb62af351c2b

Subscribe to this mod's changes

quality is a skill published in the GitHub repository ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool (449 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 526 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-11-05.

Related

quality compared with skills from other repositories

quality next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
qualityai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolSkill449yesterdayMITA21Claude Code, Codex
geo-platform-optimizerasale-ai/seo-geo-skillSkill62mo agononeA34Claude Code
ansvisor-aeo-coach-standaloneansvisor/ansvisorSkill232yesterdayMITA148Claude Code, Codex
geo-loopmverab/eGEOagentsSkill217yesterdayMITA62Claude Code
content-scoringmverab/eGEOagentsSkill217yesterdayMITA34Claude Code
competitive-analysismverab/eGEOagentsSkill217yesterdayMITA29Claude Code
schema-generatormverab/eGEOagentsSkill217yesterdayMITA35Claude Code