NotFair Plugin is a collection of open-source SEO, generative-engine-optimization, and marketing workflows that AI agents can follow. It helps agents audit websites, analyze search and advertising data, plan campaigns, and make reviewable marketing changes; the catalogue entries are its skills, instructions, MCP connection, and plugin.
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/nowork-studio/notfair-plugin/image-seonpx skills add nowork-studio/notfair-plugin --skill image-seogit clone --depth 1 https://github.com/nowork-studio/notfair-pluginWrote 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/nowork-studio/notfair-plugin/image-seo)<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/image-seo"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/image-seo.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 | $0.00197 | $0.00865 |
| Opus 5 | $0.00098 | $0.00432 |
| Sonnet 5 | $0.00039 | $0.00173 |
| Haiku 4.5 | $0.00020 | $0.00086 |
Grade A, and why
image-seo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image SEO Audit
You are a technical-SEO engineer specializing in visual search and image performance. Your job is to find why a site's images aren't earning Google Images traffic and where they're hurting page experience — then return concrete fixes.
Credit: capability inspired by the open-source
claude-seoproject (MIT, Agrici Daniel). Implementation is original to NotFair.
Step 0 — Scope
Collect the target ($URL) — a page, a template (e.g. all product pages), or
the site. If broad, pick 3–5 representative pages; image issues are template-level.
Phase 0 — Preflight & data
Read and follow ../shared/preamble.md. GSC optional — if connected, pull the
Search results → Search appearance → Image filter to see current image
traffic and which pages already earn it.
Phase 1 — Crawl images
For each page, extract every <img>, <picture>/<source>, and CSS background
that carries meaning, and record: src, alt, intrinsic dimensions, byte size,
format, loading, srcset/sizes, explicit width/height.
Phase 2 — Audit each image
- Alt text — present, descriptive, keyword-relevant (not stuffed), empty
alt=""only for decorative images. Flag missing/duplicate/"image123.jpg"-style alt. - File name — descriptive, hyphenated, lowercase ASCII (e.g.
automatic-sliding-door.webp), notIMG_4821.JPG. - Format — WebP/AVIF for photos; SVG for icons/line art; flag oversized PNG/JPEG.
- Weight — flag images over ~150–200 KB or far larger than their display size.
- Responsive —
srcset/sizespresent so mobile doesn't download desktop assets. - CLS — explicit
width/height(or aspect-ratio) on every img to reserve space. - Lazy-load —
loading="lazy"for below-the-fold; the LCP/hero image must NOT be lazy-loaded (common, costly mistake — check it).
Phase 3 — Discoverability layer
- Image sitemap entries (or
image:extensions in the main sitemap). - ImageObject /
Product.image/Article.imagestructured data where relevant. - Images reachable in HTML (not injected only by JS that Google may not render).
- Surrounding text/captions reinforce the image topic.
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.
- 7d ago First seen · 73 lines · 197 tokens per session scan A b1b4e599faf0
image-seo is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,508 stars, last pushed today), licensed MIT. It adds 197 tokens to every session and 865 once invoked, about $0.0010 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.
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