seo-ops
SEO foundation checks as an Agent Skill: give it a URL, get a crawler's-eye pass/fail report with evidence. 26 structural checks, zero LLM, deterministic.
No outside reports on file
The main risk is that you could accidentally scan private or restricted websites, and malicious sites could potentially cause the tool to fail or leak page content in reports.
Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (tigerless-labs/seo-ops)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/tigerless-labs/seo-ops ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-24.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Seo Ops
This skill checks a website's basic SEO structure by analyzing its HTML and reporting pass/fail results for 26 technical requirements. It uses deterministic (non-AI) rules to scan things like headers, meta tags, and links—no machine learning involved.
Who it’s for
Web developers and SEO teams who want automated reports on whether a site meets foundational search engine standards. Useful for catching obvious structural problems before human review.
Alternatives
- Lighthouse CI (Google's tool for automated performance and SEO audits)
- Screaming Frog SEO Spider (commercial desktop crawler with GUI)
- Semrush Site Audit (cloud-based SEO site scanner)
- Ahrefs Site Audit (subscription tool for technical SEO checks)
Setup
Check these steps against the project’s own instructions before running anything.
Follow the setup steps in the project’s official README: https://github.com/tigerless-labs/seo-ops (opens external site)
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 984
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- URL crawling: Accepts any URL you give it and fetches its content; an attacker could trick it into scanning internal company sites or restricted networks.
- Malicious HTML payloads: A compromised website could send crafted HTML designed to crash the tool or cause unexpected behavior in its parsing logic.
- Data in reports: If the tool logs or stores its findings, sensitive words from page titles, meta descriptions, or URLs could be exposed in output files.
- Dependency vulnerabilities: The tool relies on other code libraries; outdated dependencies could contain known security flaws.
- No authentication: The skill takes URLs without checking if you have permission to scan them; it trusts user input entirely.
How to lower the risk
Least-privilege permissions
- Run the skill in an isolated environment with no access to internal networks or credentials.
- Never point it at URLs you don't own or have explicit permission to scan.
Network isolation
- Use a firewall rule to block the tool from reaching internal IP addresses (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16).
- Consider running it in a container to limit what it can connect to.
Monitoring
- Log all URLs scanned and review them regularly for suspicious or internal targets.
- Watch for crashes or unusual output that might signal a malicious input.
Red flags to watch for
- Reports containing sensitive data (passwords, API keys, email addresses in page content).
- Requests to scan localhost, private IP ranges, or URLs you didn't initiate.
Questions
How do I install Seo Ops?
Seo Ops does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/tigerless-labs/seo-ops.
Are there security reports about Seo Ops?
No reports found for this package in our research (last checked 2026-10-30). Seo Ops currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include url crawling, malicious html payloads, data in reports.
Is Seo Ops actively maintained?
Seo Ops has 984 GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/tigerless-labs/seo-ops before pinning it in production.
What are alternatives to Seo Ops?
Notable alternatives to Seo Ops include Lighthouse CI, Screaming Frog SEO Spider, Semrush Site review, Ahrefs Site review. You can also compare Seo Ops side by side with other skills in the Related tools section on this page.
Key facts
- Type
- AI agent skill
- Publisher
- tigerless-labs
- Source code
- github.com/tigerless-labs/seo-ops
- Est. context load
- ~64 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 984 GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-24
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