claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/alirezarezvani/claude-skillsnpx agentmods add commands/alirezarezvani/claude-skills/seo-auditorWrote 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/commands/alirezarezvani/claude-skills/seo-auditor)<a href="https://agentmods.dev/commands/alirezarezvani/claude-skills/seo-auditor"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/seo-auditor/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/commands/alirezarezvani/claude-skills/seo-auditor"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-skills/seo-auditor.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 | $0.00019 | $0.00750 |
| Opus 5 | $0.00010 | $0.00375 |
| Sonnet 5 | $0.00004 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
seo-auditor 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seo-auditor — 100% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run the SEO auditor on documentation files. Target path: $ARGUMENTS (default: all docs/ and root README.md).
If $ARGUMENTS is --report-only, scan without making changes.
Execute all 7 phases. Auto-fix non-destructive issues. Never change URLs. Preserve content on high-ranking pages.
Phase 1: Discovery
Find all target markdown files:
docs/**/*.md— all documentation pagesREADME.mdfiles in domain root directories- If
$ARGUMENTSspecifies a path, scope to that path only
For each file, extract current state: title: frontmatter, description: frontmatter, H1, H2s, word count, link count. Store as baseline for the report.
Identify recently changed files: git log --oneline -2 --name-only -- docs/ README.md
Phase 2: Meta Tags
For each file with YAML frontmatter:
Title (title: field):
- Must be 50-60 characters
- Must contain a primary keyword
- Must be unique across all pages
- Auto-fix generic titles using domain context
Description (description: field):
- Must be 120-160 characters
- Must contain primary keyword
- Must be unique — no duplicates
- Auto-fix from SKILL.md frontmatter or first paragraph
Run SEO checker on built HTML pages:
python3 marketing-skill/skills/seo-audit/scripts/seo_checker.py --file site/{path}/index.html
Phase 3: Content Quality
Heading structure: One H1 per page, no skipped levels, keywords in headings.
Readability: Run content scorer:
python3 marketing-skill/skills/content-production/scripts/content_scorer.py {file}
Target: readability ≥ 70, structure ≥ 60.
AI detection (on non-generated files only):
python3 marketing-skill/skills/content-humanizer/scripts/humanizer_scorer.py {file}
Flag pages < 50. Fix AI clichés: "delve", "leverage", "it's important to note", "comprehensive".
Do NOT rewrite pages ranking well — only fix critical issues on those.
Phase 4: Keywords
Check each page has its primary keyword in: title, description, H1, first paragraph, at least one H2.
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 · 98 lines · 19 tokens per session scan A 8ca1c96d3207
seo-auditor is a command published in the GitHub repository alirezarezvani/claude-skills (25,742 stars, last pushed 10d ago), licensed MIT. It adds 19 tokens to every session and 750 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
story-continue
Resume an interrupted story from where you left off.
merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
memory-list
DEPRECATED: Use Serena listmemories instead. Lists recent memories from Forgetful with optional project filtering.
validate-pr-description
Use when validating a PR title and description for conventional commit format, issue linking keywords, and template compliance before submission.
history
List past OCR review sessions.
help
Display the following help text to the user.