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 PavloSEO/seohead-seotools --skill sf-analyzergit clone --depth 1 https://github.com/PavloSEO/seohead-seotoolsWrote 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/pavloseo/seohead-seotools/sf-analyzer)<a href="https://agentmods.dev/skills/pavloseo/seohead-seotools/sf-analyzer"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/sf-analyzer/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/pavloseo/seohead-seotools/sf-analyzer"><img src="https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/sf-analyzer.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 | $0.00137 | $0.01181 |
| Opus 5 | $0.00068 | $0.00590 |
| Sonnet 5 | $0.00027 | $0.00236 |
| Haiku 4.5 | $0.00014 | $0.00118 |
Grade A, and why
sf-analyzer 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 10d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SF Analyzer — SEO Audit from Screaming Frog
Converts a single Screaming Frog crawl (19.x) into two machine-readable reports:
audit.json (a contract for downstream analysis/LLMs) and audit.md (for humans).
Extracts as much information as possible from SF panels, precisely locates links
(where each link appears, where it points, and where it is in the DOM), and adds
checks that SF itself does not flag (HTML size anomalies, sitemap discrepancies,
and stale lastmod values).
When to Use
- "Run an SEO audit on this crawl /
.seospiderfile / set of SF exports"; - "Find broken links and where they appear in the DOM";
- "Check the sitemap for stale lastmod values, 4xx/3xx entries, and discrepancies";
- "Which pages are abnormally large?" or "There are two H1s—which ones and where?";
- "Create an audit.json file for the site."
Two Input Modes
- Mode B (default; SF not required): a folder containing CSV/XLSX files
exported manually from SF. Even
Internal:Allalone is sufficient. This is a self-contained workflow. - Mode A (requires an SF license + CLI): the tool launches SF in headless mode
for a
.seospiderfile, domain, or URL list and exports the required tabs/bulk exports/reports.
A
.seospiderfile is Java-serialized data (it cannot be parsed directly). It requires either the licensed SF CLI (Mode A) or a manual CSV export (Mode B).
Workflow
- Determine the input. Get the path to a
.seospiderfile or export folder, or get the domain. If it is unclear, clarify the mode (A/B) and profile (lite/full). - Check the environment → locate SF. Run
seohead sf doctor; it searches for the SF CLI everywhere: the--sf-cliflag, the$SF_CLIand$SCREAMINGFROG_CLIvariables,config.json(sf_cli.path/search_paths), the systemPATH, and standard installation directories via glob patterns:C:\Program Files*\Screaming Frog SEO Spider\*Cli.exe(which catches both(x86)and versioned installations),/Applications/Screaming Frog SEO Spider.seohead/sf/...,/usr/bin,/opt, and/snap. If SF is found, use Mode A (--crawl <domain>). If it is not found, provide the path (--sf-cli "...\ScreamingFrogSEOSpiderCli.exe"orSF_CLI=...) or switch to Mode B (reference/sf_cli_cheatsheet.md). Mode A requires an SF license. - Run the audit. Full automated workflow from a domain (SF crawls the site →
report → tasks):
For MCP, use the# Mode A — provide a domain and get everything (requires SF + a license) seohead sf run --crawl https://example.com --sitemap https://example.com/sitemap.xml --out report --tasks # From a saved crawl seohead sf run --load-crawl site.seospider --profile full --out report --tasks # Mode B — use existing exports (SF not required) seohead sf run --exports-dir ./exports --out report --taskssf_audit_runtool. The thin wrapper isscripts/run_audit.sh. - Read
audit.json. Give the user the health summary first, followed by the critical section (broken links with DOM locations, and 4xx/5xx entries in the sitemap). On request, provide details throughsf_audit_issues(filter bycheck/severity). - Attach the files
audit.json+audit.mdfor download.
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.
- 10d ago First seen · 86 lines · 137 tokens per session scan A 284551595f36
sf-analyzer is a skill published in the GitHub repository PavloSEO/seohead-seotools (0 stars, last pushed 6d ago), licensed MIT. It adds 137 tokens to every session and 1,181 once invoked, about $0.0007 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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