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 AIsa-team/agent-skills --skill article-seo-geo-reviewgit clone --depth 1 https://github.com/AIsa-team/agent-skillsWrote 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/aisa-team/agent-skills/article-seo-geo-review)<a href="https://agentmods.dev/skills/aisa-team/agent-skills/article-seo-geo-review"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/article-seo-geo-review/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/aisa-team/agent-skills/article-seo-geo-review"><img src="https://agentmods.dev/badge/skills/aisa-team/agent-skills/article-seo-geo-review.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 | $0.00163 | $0.03201 |
| Opus 5 | $0.00081 | $0.01600 |
| Sonnet 5 | $0.00033 | $0.00640 |
| Haiku 4.5 | $0.00016 | $0.00320 |
Grade A, and why
article-seo-geo-review 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.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Article SEO + GEO Review
Review one article — a local Markdown draft or a published URL — for classic search optimisation (SEO) and generative engine optimisation (GEO: being retrieved, quoted, and cited by AI Overviews, Google AI Mode, ChatGPT, and Perplexity). Every number comes from AIsa APIs; the LLM only interprets. Pipeline:
Keyword → SERP → Competitor → Content gap → SEO audit → GEO audit → Rewrite suggestions → Scorecard
Output: a Markdown scorecard (SEO 0-100, GEO 0-100, grade A-F, per-check evidence, prioritised rewrites, spend) and a JSON file with all raw evidence.
Requirements
Set an AIsa API key:
export AISA_API_KEY="your-aisa-api-key"
The script also reads AISA_API_KEY=... from ~/.aisa/credentials. Never print, log, or commit API keys. If the key is missing, ask the user to set AISA_API_KEY.
Compatibility
Works with any agentskills.io-compatible harness, including Claude Code, Claude, OpenAI Codex, Cursor, Gemini CLI, OpenCode, Goose, OpenClaw, Hermes, and other runtimes that support skill folders.
Requires Python 3.9+ (standard library only) and AISA_API_KEY. Get a key at https://aisa.one.
When to Use
Use this skill for requests like:
- "Review this article for SEO before we publish."
- "Will AI Overviews or ChatGPT cite this post? What do I change?"
- "Run a GEO audit on this URL."
- "Compare my draft with the pages ranking for this keyword and list the content gaps."
- "Give me an SEO + GEO scorecard and rewrite suggestions."
Do not use this skill for keyword research from scratch (use seo-keyword-research), full technical site audits, backlink audits, or writing the article itself.
Quick Start
# 1. Free, offline: deterministic on-page checks + provisional score
python3 {baseDir}/scripts/review_article.py audit draft.md
# 2. Show the paid calls and the spend estimate, no calls made
python3 {baseDir}/scripts/review_article.py review draft.md --dry-run
# 3. After the user approves the estimate: full review
python3 {baseDir}/scripts/review_article.py review draft.md --yes \
--out review.md --json-out review.json --cache-dir .review-cache
# Published article (adds domain authority and "does any AI engine cite you" checks)
python3 {baseDir}/scripts/review_article.py review https://example.com/blog/post --yes --out review.md
What ships with it
7 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 · 199 lines · 163 tokens per session scan A d37c546a1888
article-seo-geo-review is a skill published in the GitHub repository AIsa-team/agent-skills (25 stars, last pushed 2d ago), licensed Apache-2.0. It adds 163 tokens to every session and 3,201 once invoked, about $0.0008 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 2026-09-07.
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