facts

facts is a skill for Claude Code, Codex from ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool. It costs 11 tokens per session (626 once invoked), scanned A, original, MIT.

A consistency checker that compares drafts with approved brand facts, such as pricing, trial details, founding year, and other approved claims.

In plain words
What is it for?
Use it to check drafts before publishing and list every passage that differs from the approved information.
Why use it?
It finds places where drafts contradict the facts the brand has approved, including outdated wording.

Skill for Claude CodeCodex

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

Good fit Use it to check drafts before publishing and list every passage that differs from the approved information.

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/facts
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 facts
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 facts

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/facts"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/facts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 626 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 $0.00011 $0.00626
Opus 5.5 $0.00004 $0.00250
Sonnet 5.5 $0.00002 $0.00125
Haiku 4.5 $0.00001 $0.00063

Measured yesterday against content hash 086054616ed9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

facts 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.

skills/facts/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand facts check

Check the brand's drafts against its approved brand facts (its plans, trial, founding year and the claims it makes), and list every place a draft says something else.

When to use

  • "Check our drafts against our brand facts", "Does this page still say the old trial length?", "Are our facts consistent?"

Where the facts come from

GetCito reads the brand facts from the brand's own pricing, About and product pages, and a person approves each one in the brand's settings, on the Brand facts tab. Only approved facts count. Read them with get_brand_facts: the approved facts still on the brand's site, each in its page's own words, with when it was approved and the page it came from. Facts waiting for approval, rejected ones and ones gone from the site aren't in it.

When it returns none, say so, and ask the person to open Brand facts and approve the ones waiting, or to paste the facts they confirm. Never approve a fact yourself, and never use a fact that isn't approved or that the person didn't confirm.

What to read

  1. get_brand_facts: the brand's approved facts.
  2. list_drafts: the brand's drafts, latest changed first.
  3. get_draft for each draft you check, at most five in one run: its passages, and where it is live.

Steps

  1. Read the approved facts with get_brand_facts. With none, stop and ask for them, as above. Facts the person gives in the chat count too.
  2. Read each draft and find every passage that states one of those facts: a plan, a trial, a founding year, a claim about the brand.
  3. Compare each with the approved fact: same, different, or no longer true.
  4. Draft the fix for each mismatch: the passage with the approved fact in it, nothing else changed.

Output

  1. A table: Draft, Passage, Says, Approved fact, Fix.
  2. The drafts with no mismatch, in one line.
  3. Facts a draft states that aren't in the approved list, for the person to check.

When the person wants the fixes kept, save the corrected page as a new draft 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.

Read the full file on GitHub · 50 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 · 50 lines · 11 tokens per session scan A 086054616ed9

Subscribe to this mod's changes

facts 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 11 tokens to every session and 626 once invoked, about $0.0000 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

facts compared with skills from other repositories

facts next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
factsai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolSkill449yesterdayMITA11Claude 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