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.
npx skills add ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool --skill tasksgit clone --depth 1 https://github.com/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-toolWrote 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.
[](https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/tasks)<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/tasks"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/tasks/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.
<a href="https://agentmods.dev/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/tasks"><img src="https://agentmods.dev/badge/skills/ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool/tasks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00014 | $0.00748 |
| Opus 5.5 | $0.00006 | $0.00299 |
| Sonnet 5.5 | $0.00003 | $0.00150 |
| Haiku 4.5 | $0.00001 | $0.00075 |
Grade A, and why
tasks 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- tasks — 88% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Complete this week’s tasks
Work through the brand's Action Center actions, highest priority first, and prepare what each one needs: drafts, code and notes. The person closes the tasks.
When to use
- "Complete this week's Action Center tasks", "Work on what's due by Friday", "Start the top task."
- For one action the person names, do only that one.
What to read
list_action_center_taskssorted by priority, the new and in-progress ones: their category, impact, due date and progress.get_actionfor each action you work on: why it exists, its signals, and its tasks (What, Where, Why, How, Done when).list_citationsfor the last 30 days, when an action is about citations: which pages are cited, and which lost citations.get_site_audit_summary, thenlist_site_audit_issues, for the pages the tasks name: the failed checks, as AI engines would see the page.get_fanoutswhen a task asks for questions to answer.get_onboarding_progress, once the actions are worked through: the open Getting started steps, in stage order.
Steps
- Read the open actions and rank them by impact and due date. Say which ones you will work on, at most four in one run.
- Check the pages the tasks name, from their latest Site Audit.
- Prepare each task's work: an FAQ block, a rewritten passage, schema code or a new page, as its How says. Show a change to a passage AI cites before it is made.
- Save page work as a draft with
create_draft; the app asks the person first when it should. - Sending a draft to the site's CMS, and publishing it, aren't part of this skill: the person does both in the Content Library (Send to CMS, then Publish), or an agent with the Ready to publish skill does. Never publish yourself: the app decides whether a page goes live, and asks the person unless an Admin allowed this agent to go live on its own.
- When a task's work is finished, set it Ready for review with
set_task_ready_for_review, so the person sees it in the task strip under your answer. - Then help with the open Getting started steps, in stage order: say what each step needs and link its page, with short steps for anything the person connects themselves (Search Console, Analytics, the AI Traffic snippet). Add competitors, topics or prompts a step asks for only with the tools that do it, and the app asks the person first.
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.
- yesterday First seen · 48 lines · 14 tokens per session scan A d773ff5a6982
tasks 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 14 tokens to every session and 748 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.
tasks compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tasksai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool | Skill | 449 | yesterday | MIT | A | 14 | Claude Code, Codex |
| geo-platform-optimizerasale-ai/seo-geo-skill | Skill | 6 | 2mo ago | none | A | 34 | Claude Code |
| ansvisor-aeo-coach-standaloneansvisor/ansvisor | Skill | 232 | yesterday | MIT | A | 148 | Claude Code, Codex |
| geo-loopmverab/eGEOagents | Skill | 217 | yesterday | MIT | A | 62 | Claude Code |
| content-scoringmverab/eGEOagents | Skill | 217 | yesterday | MIT | A | 34 | Claude Code |
| competitive-analysismverab/eGEOagents | Skill | 217 | yesterday | MIT | A | 29 | Claude Code |
| schema-generatormverab/eGEOagents | Skill | 217 | yesterday | MIT | A | 35 | Claude Code |