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 amirjahfar1/automate-seo-with-claude --skill seo-imagesgit clone --depth 1 https://github.com/amirjahfar1/automate-seo-with-claudeWrote 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/amirjahfar1/automate-seo-with-claude/seo-images)<a href="https://agentmods.dev/skills/amirjahfar1/automate-seo-with-claude/seo-images"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-images/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/amirjahfar1/automate-seo-with-claude/seo-images"><img src="https://agentmods.dev/badge/skills/amirjahfar1/automate-seo-with-claude/seo-images.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 | $0.00225 | $0.05793 |
| Opus 5 | $0.00112 | $0.02897 |
| Sonnet 5 | $0.00045 | $0.01159 |
| Haiku 4.5 | $0.00022 | $0.00579 |
Grade A, and why
seo-images 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 12d 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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image SEO Audit
A focused, page-level (or domain-sample) audit of every <img> and <picture> on the target. Surfaces alt-text issues, format gaps (WebP/AVIF coverage), responsive-image gaps (srcset / sizes), LCP and CLS risk, and missing ImageObject markup. Output is a prioritised remediation list plus paste-ready <picture> and JSON-LD snippets.
Adapted from
AgriciDaniel/claude-seo'sseo-imagesskill (MIT). Rubric, lazy-loader taxonomy, and severity ladder track the upstream implementation; data sources are wired to this catalogue's DataForSEO / Firecrawl / Google APIs stack.
Prerequisites
- Required for inventory:
mcp__firecrawl-mcp__firecrawl_scrape(raw HTML access).WebFetchreturns markdown only — every<img>attribute (srcset,sizes,loading,fetchpriority,width,height,data-src*lazy variants) is stripped before the skill ever sees it. Without Firecrawl the audit cannot run. Install viabash extensions/firecrawl/install.sh. - DataForSEO MCP server connected — used for the page set in domain mode (
mcp__dataforseo__dataforseo_labs_google_relevant_pagesfor top traffic pages) and formcp__dataforseo__on_page_instant_pages(returns the page's image resource list, cross-checking the Firecrawl inventory). - Optional (PSI byte-saving estimates):
google-api.jsonconfigured (Tier 0 — API key only). When present, step 9 runs and adds real LighthousewastedBytesper image to the remediation list. - User provides: a target URL (single-page audit) or a domain (sampled audit). For domains, the skill confirms how many pages to sample before spending Firecrawl credits.
Process
- Validate target & preflight. Normalise the URL (strip trailing slash, decode IDN). Resolve mode:
- URL mode (default for inputs that look like a single page): the target is one URL. Cost: 1 Firecrawl credit + optional PSI calls.
- Domain mode (input is a bare domain or the user explicitly asks for a domain-wide audit): map first, then scrape a sample.
- Preflight checks (mirror
skills/seo-firecrawl/references/preflight.mdwhere it applies):- Confirm Firecrawl is connected. If not, abort with the install command and stop.
- If Google APIs are wired up (
~/.config/seo-skills/google-api.jsonpresent), record the detected tier; step 9 will use it. If not, mark step 9 as skipped.
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.
- 12d ago First seen · 240 lines · 225 tokens per session scan A b0b4a00087e1
seo-images is a skill published in the GitHub repository amirjahfar1/automate-seo-with-claude (2 stars, last pushed 3mo ago), licensed MIT. It adds 225 tokens to every session and 5,793 once invoked, about $0.0011 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 2026-08-31.
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