sf-analyzer

sf-analyzer is a skill for Claude Code from PavloSEO/seohead-seotools. It costs 137 tokens per session (1,181 once invoked), scanned A, original, MIT.

A machine-readable SEO audit built from a Screaming Frog crawl. Screaming Frog is a website crawler; its exports are spreadsheets or files containing page, link, and technical data.

In plain words
What is it for?
Use it to find broken links and their locations, inspect headings and page sizes, compare the sitemap with the site, and analyze either exported files or a Screaming Frog crawl file.
Why use it?
It turns crawl exports into structured audit.json and readable audit.md reports, while adding checks that Screaming Frog does not provide directly.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to find broken links and their locations, inspect headings and page sizes, compare the sitemap with the site, and analyze either exported files or a Screaming Frog crawl file.

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Install with agentmods
npx agentmods add skills/pavloseo/seohead-seotools/sf-analyzer
Install

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.

Any agent
npx skills add PavloSEO/seohead-seotools --skill sf-analyzer
Clone the repo
git clone --depth 1 https://github.com/PavloSEO/seohead-seotools

Made for: Claude Code.

Wrote 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.

agentmods badge for sf-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/pavloseo/seohead-seotools/sf-analyzer/github.svg)](https://agentmods.dev/skills/pavloseo/seohead-seotools/sf-analyzer)
Your own site
<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.

agentmods 80×15 button for sf-analyzer

Your own site · 80×15
<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>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,181 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 10d ago against content hash 284551595f36, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run_audit.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/sf-analyzer/SKILL.md · 86 lines

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 / .seospider file / 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:All alone is sufficient. This is a self-contained workflow.
  • Mode A (requires an SF license + CLI): the tool launches SF in headless mode for a .seospider file, domain, or URL list and exports the required tabs/bulk exports/reports.

A .seospider file 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

  1. Determine the input. Get the path to a .seospider file or export folder, or get the domain. If it is unclear, clarify the mode (A/B) and profile (lite/full).
  2. Check the environment → locate SF. Run seohead sf doctor; it searches for the SF CLI everywhere: the --sf-cli flag, the $SF_CLI and $SCREAMINGFROG_CLI variables, config.json (sf_cli.path/search_paths), the system PATH, 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" or SF_CLI=...) or switch to Mode B (reference/sf_cli_cheatsheet.md). Mode A requires an SF license.
  3. Run the audit. Full automated workflow from a domain (SF crawls the site → report → tasks):
    # 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 --tasks
    
    For MCP, use the sf_audit_run tool. The thin wrapper is scripts/run_audit.sh.
  4. 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 through sf_audit_issues (filter by check/severity).
  5. Attach the files audit.json + audit.md for download.

Read the full file on GitHub · 86 lines

Files

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.

Changes

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.

  1. 10d ago First seen · 86 lines · 137 tokens per session scan A 284551595f36

Subscribe to this mod's changes

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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