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 agentmods add skills/opencue/cuecards/geo-content-optimizernpx skills add opencue/cuecards --skill geo-content-optimizergit clone --depth 1 https://github.com/opencue/cuecardsWrote 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/opencue/cuecards/geo-content-optimizer)<a href="https://agentmods.dev/skills/opencue/cuecards/geo-content-optimizer"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/geo-content-optimizer.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.02121 |
| Opus 5 | $0.00024 | $0.01060 |
| Sonnet 5 | $0.00010 | $0.00424 |
| Haiku 4.5 | $0.00005 | $0.00212 |
Grade A, and why
geo-content-optimizer 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 5d 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.
This is a copy
83% identical to alert-manager — 156 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Content Optimizer
Optimizes content for AI-generated answers and citation surfaces such as ChatGPT, Perplexity, Gemini, Codex, and AI Overviews.
What This Skill Does
Improves structure, authority signals, factual density, quotable statements, source attribution, and overall GEO readiness.
Quick Start
Optimize this content for GEO/AI citations: [content or URL]
Make this article more likely to be cited by AI systems
Write content about [topic] optimized for both SEO and GEO
Audit this content for GEO readiness and suggest improvements
AI Overview is eating clicks on 12 head queries — build a recovery plan
See references/ai-overview-recovery.md for the 4-phase playbook (measure → diagnose → rewrite → monitor) tailored to recovery scenarios (as opposed to generic GEO optimization).
Skill Contract
Expected output: a ready-to-use asset or implementation-ready transformation plus a short handoff summary ready for memory/content/.
- Reads: the brief, target keywords, entity inputs, quality constraints, and prior decisions from AGENTS.md and the shared State Model when available. Canonical entity profiles: if the content mentions a brand / person / product, this skill MUST consult
memory/entities/<slug>.md(per the entity-geo handoff schema) to populatedisplay_name,description_short,ai_resolution_statusand decide whether disambiguation boilerplate is needed. If the profile is missing or stale (>90 days), declareDONE_WITH_CONCERNSand recommendentity-optimizeras an open loop. - Writes: a user-facing content, metadata, or schema deliverable plus a reusable summary that can be stored under
memory/content/. - Promotes: approved angles, messaging choices, missing evidence, and publish blockers to
memory/hot-cache.mdandmemory/open-loops.md; propose durable decisions as pending-decision items. - Primary next skill: use the
Next Best Skillbelow when the asset is ready for review or deployment.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 132 lines · 48 tokens per session scan A bdd1110ea63a
geo-content-optimizer is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,121 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to alert-manager, differing in 156 lines, and is treated as a copy.
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