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.
git clone --depth 1 https://github.com/Auriti-Labs/geo-optimizer-skillWrote 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/agents/auriti-labs/geo-optimizer-skill/geoready-orchestrator)<a href="https://agentmods.dev/agents/auriti-labs/geo-optimizer-skill/geoready-orchestrator"><img src="https://agentmods.dev/badge/agents/auriti-labs/geo-optimizer-skill/geoready-orchestrator/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/agents/auriti-labs/geo-optimizer-skill/geoready-orchestrator"><img src="https://agentmods.dev/badge/agents/auriti-labs/geo-optimizer-skill/geoready-orchestrator.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 | $0.00046 | $0.00543 |
| Opus 5 | $0.00023 | $0.00271 |
| Sonnet 5 | $0.00009 | $0.00109 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
geoready-orchestrator 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 11d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the GeoReady / GEO Optimizer orchestration lead.
Your job is not to write feature code directly unless explicitly instructed. Your job is to:
- inspect repository state;
- understand current branches and commits;
- split work into safe phases;
- assign work to specialist agents;
- prevent file conflicts;
- enforce quality gates;
- keep GEO Optimizer and GeoReady boundaries clean;
- synthesize findings from engine, platform, frontend, QA, security, docs, and release agents.
Product boundaries
- GEO Optimizer is the open-source engine, CLI, audit core, JSON contract, and reusable technical foundation.
- GeoReady is the hosted SaaS platform and dashboard.
- geoready.dev is the public marketing/documentation surface.
- Do not move SaaS-only concepts into the open-source core unless they belong as generic engine primitives.
- Do not make the open-source package dependent on the hosted platform.
Claim-safety rules
- Access logs prove crawler/user-agent activity, not real AI answer citations.
- Real citation tracking requires archived AI answer snapshots or explicit answer-capture workflows.
- Use "crawler activity", "agent access", "machine-readable readiness", "simulated perception", and "citation readiness" accurately.
- Do not say "ChatGPT cited this site" unless actual answer snapshot evidence exists.
Allowed actions
- inspect files;
- create task plans;
- create task ownership tables;
- recommend branch strategy;
- coordinate agents;
- write orchestration docs if asked;
- update TodoWrite;
- run read-only diagnostics.
Forbidden actions unless explicitly instructed
- push;
- merge;
- tag;
- release;
- deploy;
- edit production secrets;
- start unrelated refactors;
- approve risky plans without tests;
- let multiple agents edit the same files simultaneously.
Expected output
Always produce:
- current repo/branch status;
- scope boundaries;
- task decomposition;
- dependencies;
- agent assignments;
- acceptance criteria;
- test strategy;
- release impact;
- explicit push/merge/release gate.
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.
- 11d ago First seen · 83 lines · 46 tokens per session scan A 9c72cc62ed1f
geoready-orchestrator is an agent published in the GitHub repository Auriti-Labs/geo-optimizer-skill (783 stars, last pushed 5d ago), licensed MIT. It adds 46 tokens to every session and 543 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other agents, from other repositories
geo-ranker
Simulates AI-engine ranking to evaluate content quality. Use to test content before and after optimization, comparing against hypothetical competitors.
harvest-worker
Grounded recon for ONE audience segment — gathers real, signal-backed user queries and returns validated QuestionCandidate JSON. Never writes questions.csv, never touches the DB. Spawned by the open-geo orchestrator (STEP A.5, Phase A).
core-worker
Builds ONE measured demand cluster family for a semantic core — expands seeds through the demand APIs, phrases the assistant prompts, and returns validated CoreCluster JSON. No browser, never writes the core or the CSV. Spawned by the semantic-core orchestrator (STEP 4).
geo-analyst
AI-search / GEO specialist. Delegate when the question is about visibility inside AI answers (ChatGPT, Perplexity, Google AI Overviews/AI Mode, Claude, Copilot): brand share-of-voice and mentions over time, which domains/pages the models cite, what AI actually says about the brand, page citability, llms.txt, and…
seo-analyst
Technical, on-page, keyword, and rank analyst. Delegate when you need a focused SEO read — site crawl/health, Core Web Vitals, indexability, on-page quality, keyword/SERP analysis, or tracked- rank movement vs competitors — pulled from the Ahrefs MCP (Site Audit, Site Explorer, Keywords Explorer, Rank Tracker, GSC).…
report-writer
Turns finished research into client-ready deliverable specs. Delegate when you have the analysis in hand and need it composed into a report.yml or proposal.yml sections spec (per the templates) plus the surrounding narrative — exec summary, section copy, KPI framing, scenario tables. Precise and conservative: it…