answerfirst

answerfirst is a skill for Claude Code, Codex from ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool. It costs 20 tokens per session (525 once invoked), scanned A, original, MIT.

A page-rewriting workflow that puts a direct answer beneath each heading and adds a short summary at the top. It is designed so readers and AI systems can find the main answer quickly.

In plain words
What is it for?
Rewriting a whole page or its introduction, creating an AI Overview-style summary, and making sections answer specific questions first.
Why use it?
It removes long introductions that delay the answer and makes each section understandable on its own.

Skill for Claude CodeCodex

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

Good fit Rewriting a whole page or its introduction, creating an AI Overview-style summary, and making sections answer specific questions first.

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/answerfirst
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 answerfirst
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 answerfirst

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/answerfirst"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/answerfirst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 525 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 $0.00020 $0.00525
Opus 5.5 $0.00008 $0.00210
Sonnet 5.5 $0.00004 $0.00105
Haiku 4.5 $0.00002 $0.00052

Measured yesterday against content hash fd95f94061c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

answerfirst 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:

skills/answerfirst/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.

Answer-first rewrite

Turn sections that warm up slowly into ones that answer first, so an AI engine can lift them as they are.

When to use

  • "Make this page answer-first", "Rewrite our intro so AI quotes it", "Why doesn't AI quote this page?"
  • For a whole page, work section by section, the summary first.

What to read

  1. get_draft when the person names a draft: its passages, and which ones AI quotes now (locked).
  2. list_prompts or get_fanouts for the page's topic: the questions each section should answer.
  3. When a live page is named, get_site_audit_summary and list_site_audit_issues for its latest audit: the direct-answer and bottom-line-up-front checks.

If the person pasted the text, work from it and read nothing else unless needed.

Steps

  1. Write a summary for the top of the page: two or three sentences that answer the page's main question, the way an AI Overview would.
  2. Under each H2, put a direct answer first: one or two sentences, 50 words or fewer, that answer the heading on their own. Detail, reasons and caveats come after.
  3. One question per section; its heading says the question or its answer.
  4. Define a term where it is first used, in the same sentence. Steps as a numbered list, options as a table.
  5. Keep every fact, figure and claim exactly as the source has it, and the brand's voice: change the order, not the personality. A passage AI quotes now stays word for word.

Output

For each section: Before, After, and one line on what changed. Then the full rewritten text in one block, ready to paste. When the person wants it kept, save it 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.

Don't

  • Don't add facts, figures or promises that weren't in the text.
  • Don't shorten an answer until it is no longer true.
  • Don't touch locked passages without saying so.

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 · 20 tokens per session scan A fd95f94061c5

Subscribe to this mod's changes

answerfirst 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 20 tokens to every session and 525 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

answerfirst compared with skills from other repositories

answerfirst next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
answerfirstai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolSkill449yesterdayMITA20Claude 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