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Agent skill

SEO Ops Structural Checklist

by tigerless-labs in tigerless-labs/seo-ops

Checks a site against a deterministic set of structural SEO and GEO checks, either running a crawler-eye report against a URL or reviewing code against the same checklist.

No licenceAuto-check: notesMarketing & SEO

Install SEO Ops Structural Checklist

skills CLI
$ npx skills add tigerless-labs/seo-ops --skill seo-ops -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tigerless-labs/seo-ops seo-ops --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-ops
GitHub stars
700
Token cost
~3.3k tokens
SKILL.md length
1,601 words
Files
69 (incl. scripts, references)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Checks a site against a deterministic set of structural SEO and GEO checks, either running a crawler-eye report against a URL or reviewing code against the same checklist.

  • Auditing a live site or local deployment against structural SEO checks
  • SKILL.md covers How to work, Scope, What's here and Run the checker, plus 2 more sections
  • Calls python3, pip and apt
  • Reviewing a pull request's templates for SEO regressions before merge

What it does

On trigger, the skill introduces itself in one sentence and asks a single question: whether to check a URL, live or local, which runs the checker script for a pass or fail report with evidence, or to review code, templates or a PR against the checklist with no script at all. No configuration is required for the scripted path, since the checker runs with defaults; extras like CrUX field data, IndexNow or a multi-site roster are only brought up if asked for.

Both paths treat a bundled checklist file as authoritative, judging any individual item by its own canonical reference document rather than by the index summary alone, and citing items by a permanent ID such as C12. The report itself carries a documentation link per row for whoever reads it, while the skill always reads the same check's local reference file itself before answering a question about why a check exists or how to fix it. The checks span robots and sitemap handling, canonicalization, JSON-LD and Open Graph markup, hreflang, Core Web Vitals, AI crawler access and rendering strategy.

When your agent uses it

  • Auditing a live site or local deployment against structural SEO checks
  • Reviewing a pull request's templates for SEO regressions before merge
  • Explaining why a specific structural SEO check exists and how to fix a failure

Example prompts

  • “Run the SEO checks against https://example.com and give me the report.”
  • “Review this PR's template changes against the structural SEO checklist.”
  • “Why does check C12 exist, and how do I fix a failure on it?”

Requirements

  • Python 3.9+ with requests and PyYAML
  • Network access to the target site
  • Compatibility (from SKILL.md): Requires Python 3.9+, requests, PyYAML, and network access to the target site

What it can do on your machine

Read from SKILL.md and the folder at commit c637138. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip
    • apt

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires Python 3.9+, requests, PyYAML, and network access to the target site

    From compatibility in the SKILL.md frontmatter.

Context cost

SEO Ops Structural Checklist loads about 3.3k tokens when it runs, and up to ~47k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 1,601 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~47k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:174
    | `.env` | **only when the user wants a "complete verdict"** (CrUX / IndexNow key) | **not required**; C4 records `need-
  • NoteMentions a .env fileSKILL.md:177
    `.env` is a hidden file; `ls` without `-a` makes the directory look empty.
  • NoteMentions a .env fileSKILL.md:178
    orted environment variables always beat `.env`** — a key injected by CI can't be overridden by someone's local file.
  • NoteMentions a .env fileSKILL.md:179
    (`<state-dir>/sites.yaml`, `<state-dir>/.env`, `scripts/.env`) are still read,
  • NoteMentions a .env fileSKILL.md:197
    t be tuned here**: **secrets** (live in `.env`); **constants** (the three CWV thresholds are Google's official "good" li

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,601 words (~3,253 tokens).

“Review a site's templates and output against the C set (30 structural checks), or run the checker to produce an acceptance report.”

— opening of SKILL.md by tigerless-labs
name
seo-ops
compatibility
Requires Python 3.9+, requests, PyYAML, and network access to the target site

Read the full SKILL.md on GitHub

Files

SKILL.md and 68 other files (scripts, references) in the repository root of tigerless-labs/seo-ops.

  • SKILL.md
  • .agents/plugins/marketplace.json
  • .claude-plugin/marketplace.json
  • .claude-plugin/plugin.json
  • .codex-plugin/plugin.json
  • .github/workflows/ci.yml
  • .gitignore
  • README.md
  • redlines.md
  • references/.env.example
  • references/ai-crawlers.yaml
  • references/checklist/checklist.md
  • references/checklist/references
  • … and 56 more

Open the folder on GitHubat commit c637138

Compare with similar skills

SEO Ops Structural Checklist next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

SEO Ops Structural Checklist compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SEO Ops Structural Checklist this skilltigerless-labs/seo-ops700—~3.3kAutomated safety check: NotesNone
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT
SEOAgriciDaniel/seo-os1352 repos~3.5kAutomated safety check: PassMIT
SEO and GEO Auditdageno-agents/seo-geo-audit176—~2kAutomated safety check: PassMIT
Universal SEO AnalysisAgriciDaniel/claude-seo19k—~4.9kAutomated safety check: PassMIT
GEO Schema Auditorzubair-trabzada/geo-seo-claude11k2 repos~3.7kAutomated safety check: NotesMIT

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Categories

Questions about SEO Ops Structural Checklist

What does SEO Ops Structural Checklist do?

Checks a site against a deterministic set of structural SEO and GEO checks, either running a crawler-eye report against a URL or reviewing code against the same checklist. On trigger, the skill introduces itself in one sentence and asks a single question: whether to check a URL, live or local, which runs the checker script for a pass or fail report with evidence, or to review code, templates or a PR against the checklist with no script at all. No configuration is required for the scripted path, since the checker runs with defaults; extras like CrUX field data, IndexNow or a multi-site roster are only brought up if asked for.

When should I use SEO Ops Structural Checklist?

SEO Ops Structural Checklist fits situations like: auditing a live site or local deployment against structural SEO checks; reviewing a pull request's templates for SEO regressions before merge; explaining why a specific structural SEO check exists and how to fix a failure.

How do I install SEO Ops Structural Checklist in Claude Code?

Run `npx skills add tigerless-labs/seo-ops --skill seo-ops -a claude-code`. Or copy the skill folder (the tigerless-labs/seo-ops repository) into .claude/skills/seo-ops in your project. Claude Code loads it when a task matches its description.

How do I install SEO Ops Structural Checklist in Codex?

Run `npx skills add tigerless-labs/seo-ops --skill seo-ops -a codex`. Or copy the skill folder (the tigerless-labs/seo-ops repository) into .agents/skills/seo-ops in your project. Codex loads it when a task matches its description.

Can I use SEO Ops Structural Checklist in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tigerless-labs/seo-ops --skill seo-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-ops, .gemini/skills/seo-ops, .github/skills/seo-ops and .opencode/skills/seo-ops in your project.

What does SEO Ops Structural Checklist need to run?

Going by SKILL.md and its folder, SEO Ops Structural Checklist needs the command-line tools its instructions call (python3, pip and apt). Our summary lists: Python 3.9+ with requests and PyYAML; Network access to the target site. Compatibility (from SKILL.md): Requires Python 3.9+, requests, PyYAML, and network access to the target site.

Does SEO Ops Structural Checklist access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is SEO Ops Structural Checklist safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does SEO Ops Structural Checklist use?

No licence was found for SEO Ops Structural Checklist or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does SEO Ops Structural Checklist use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 44k tokens, read only when the agent opens those files.

What are the alternatives to SEO Ops Structural Checklist?

Skills that share tags, products or a category with SEO Ops Structural Checklist: GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO (AgriciDaniel/seo-os, 135 stars), SEO and GEO Audit (dageno-agents/seo-geo-audit, 176 stars) and Universal SEO Analysis (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Ops Structural Checklist?

tigerless-labs (a GitHub organization) maintains it in tigerless-labs/seo-ops, which has 700 GitHub stars. The repository was last updated on September 1, 2026.

Source: tigerless-labs/seo-ops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.