Borrowing it
Nothing to install: this file belongs to opencue/cuecards. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/opencue/cuecards/main/.agents/skills/meta-tags-optimizer/SKILL.mdgit 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/meta-tags-optimizer)<a href="https://agentmods.dev/skills/opencue/cuecards/meta-tags-optimizer"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/meta-tags-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 5.1 | $0.00041 | $0.01640 |
| Opus 5 | $0.00020 | $0.00820 |
| Sonnet 5 | $0.00008 | $0.00328 |
| Haiku 4.5 | $0.00004 | $0.00164 |
Grade A, and why
meta-tags-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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- serp-analysis — 89% identical, 176 lines differ
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.
Meta Tags Optimizer
Creates title tags, meta descriptions, and social meta tags that improve CTR and sharing quality.
Quick Start
Create meta tags for a page about [topic] targeting [keyword]
Improve these meta tags for better CTR: [current tags]
Skill Contract
Expected output: a ready-to-use metadata package plus the standard handoff summary 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.
- Writes: a user-facing metadata deliverable and reusable summary.
- 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: schema-markup-generator when the metadata package is ready for structured-data support.
Handoff Summary
Emit the standard shape from skill-contract.md §Handoff Summary Format.
Data Sources
Optional search console and SEO tool integrations pull CTR data and competitor patterns automatically; otherwise ask for current tags, keywords, and competitors. See CONNECTORS.md.
Instructions
When a user requests meta-tag optimization, run these six steps:
- Gather Page Information — URL, page type, primary and secondary keywords, audience, CTA, and value proposition.
- Create Optimized Title Tag — keep it near 50-60 characters, front-load the keyword, and generate three options using the supported title formulas.
- Write Meta Description — target 150-160 characters, include the keyword and CTA, and generate three options.
- Create Open Graph, Twitter Card, and Additional Meta Tags — include OG, Twitter, canonical, robots, viewport, author, and article tags as needed.
- CORE-EEAT Alignment Check — verify C01 (Intent Alignment) and C02 (Direct Answer).
- Provide CTR Optimization Tips — explain the winning elements, tradeoffs, and A/B test options.
What ships with it
4 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.
- 3d ago First seen · 132 lines · 41 tokens per session scan A a2ec33c4584e
meta-tags-optimizer is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,640 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 2026-09-03.
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