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tigerless-labs

SEO Ops skill

Structural checklist and checker script for SEO foundation engineering. Use when reviewing or accepting a site/page for SEO/GEO structural compliance (robots, sitemap, canonical, 301 canonicalization, JSON-LD, OG, hreflang, CWV, AI crawler access, rendering strategy), when running the machine checks to produce a report, or when judging whether a frontend change will affect indexing and citation. Also for answering "what exactly does this check require" and "why does it exist".

$npx skills add tigerless-labs/seo-ops
GitHub stars
989
Pack installs
1
Alyn Score
43/99
Updated
4 days ago

tigerless-labs

SEO Ops

Install SEO Ops

Pick your agent. Every command is ready to paste.

$npx skills add tigerless-labs/seo-ops

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads seo-ops when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the seo-ops skill”. In Codex, type $seo-ops.

The skill itself

SKILL.md

GitHub

seo-ops · SEO foundation engineering

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

How to work

When this skill triggers, introduce it in one sentence — "30 structural checks (the C set): can crawlers fetch, read, index, and cite this site" — then immediately ask one question (as selectable options if your environment has an option/question UI):

What should I check?

  1. A URL — live domain or local deployment (http://localhost:<port>), both fine; produces a report
  2. The code — review templates/pages in this repo against the checklist, no script

That one answer decides the path; don't ask anything else before starting — no config is needed, the checker runs with defaults on a bare --target. Never bring configuration up on your own; it only becomes relevant if the user asks for the extras (CrUX field data, IndexNow, multi-site roster — see "Configuration").

The user gave Path Section to follow
a domain / URL (live or localhost) run the checker, produce a report "Run the checker" → then "Read the report"
code, templates, a PR, page files no script; review the machine-readable output surface against the C set item by item "Scope" sets the boundary; references/checklist/checklist.md lists the items — but judge each one by its canonical doc references/checklist/references/C<N>.md, not by the index row alone

Once intent is confirmed, do not keep asking for permission. Everything else: the user asks why a check exists / how to fix it → "After the report"; dependencies won't install → "Environment".

Both paths treat references/checklist/checklist.md as authoritative — never judge from memory; if unsure about an item, read references/checklist/references/C<N>.md. Cite items by ID (C12); IDs are permanent — never renumber or reorder.

After the report

The report itself is the conclusion — don't walk through it item by item unprompted. Each row carries a Docs column: the GitHub link to that check's canonical doc — that link is for the person reading the report (it opens wherever the report is sent). What you yourself read is the local copy: references/checklist/references/C<N>.md.

When the user asks about a check, read references/checklist/references/C<N>.md before answering (for C12, read references/checklist/references/C12.md): "why it's a problem" comes from ## Introduction, "how to fix it" from ## Implementation guidance. Never answer by inferring from the evidence — evidence only says which pages failed; it can't tell you why the check exists, what the correct fix is, or where the authoritative reference lives.

Environment

python3 -c "import requests, yaml" || pip install -r scripts/requirements.txt

On externally-managed-environment (PEP 668, common on Debian/Ubuntu), use the system packages apt install python3-requests python3-yaml or create a venv — do not add --break-system-packages; that gambles the system Python for a two-line dependency.

Scope

SEO foundation engineering = the machine-readable structure a site must have so that search engines and AI retrieval can fetch, read, index, and cite it.

What it checks: the machine-readable surface of the final HTTP/HTML output — regardless of who produced it (backend templates, frontend code, third-party scripts); if a crawler can see it, it's covered. The boundary is "machine-readable surface / human-perceivable surface", not frontend/backend.

What it doesn't check: styling, interaction, UX, code quality; content truthfulness and quality; ranking and traffic; process. All green ≠ fully compliant.

The human gate is a separate set: the R1-R8 prohibitions (buying links, cloaking, fake structured data, PII in prompts, etc.) live in redlines.md; the machine doesn't check them. Read them before touching content strategy, links, or structured data.

What's here

Path What it is
references/checklist/checklist.md The C set index: 30 checks, split into site-level / per indexed page / conditional
references/checklist/references/C<N>.md Each C check's canonical doc: ## Introduction (why) + ## Implementation guidance (how to fix) + authoritative references
references/content/ The T set: for tracing a red C back to "who owes the input"; outside this skill's duties
scripts/run.py · scripts/config.py Check logic / check parameters
references/ai-crawlers.yaml The AI crawler UA roster for C1, read at runtime
references/{sites,config}.example.yaml · references/.env.example Three config templates, see "Configuration"

<N> maps one-to-one to the IDs in the checklist; C12's canonical doc is references/checklist/references/C12.md. Gaps in the numbering are normal (retired IDs are never recycled).

The skill directory is read-only — zero writes. Updates overwrite the whole package; anything written inside will be lost.

Run the checker

Confirm the target is an origin → run. No config file is required and none should be asked about — defaults cover everything; the optional files exist for users who come asking for more (see "Configuration").

One "site" = one origin (scheme + host[:port], no path/query). Subdomains count as separate sites (blog. / docs. are each one); the apex domain and www don't count as two — they should 301 to a single canonical host, which is exactly what C3 checks, so only the one you pick counts.

Single site: no config file needed

python3 scripts/run.py --target https://example.com      # live site
python3 scripts/run.py --target http://localhost:3000    # local deployment, auto-detected as local mode

--target must be an origin; a URL with path/query exits with an error immediately — no guessing.

Public staging domains are not supported — they'd be tested as production domains, and the canonicalization check (C3) would false-red for sure. To test before launch, pick one: run a local deployment at http://localhost:<port>, or wait and run against the production domain after launch.

Multi-site: run a batch in one go

"Multi-site" = you have several domains to accept at once (e.g. example.com + example.org + blog.example.com), don't want to retype --target every time, and want each site to carry its own rendering strategy and must-test pages. After creating sites.yaml (see "Configuration"):

python3 scripts/run.py               # run every site in the roster
python3 scripts/run.py --site <id>   # run just one

Each entry takes: id (used for the report filename and the checks table's site column), production (origin, required), rendering (ssr/ssg/isr; C15 branches on it), sitemap (defaults to <production>/sitemap.xml), samples (must-test pages fetched in addition to the sitemap; mark ymyl: true to trigger the C21 human review). If the roster can't be found, the script exits and prints where to create it — it never silently runs empty.

Common flags

One-off overrides: --page-sample N --sitemap-sample N --max-pages N --sleep S --workers N. Output overrides: --state-dir <path> / --out <path>. --verify-only: run only the two drift guards, no network; exits 1 on drift (for CI).

Runtime: at the default single worker with a 1s interval, roughly 2 × sitemap entries requests. A 271-page site takes about 7 minutes (tell the user roughly how long the wait is before running); for speed, sample with --page-sample 100 — structural problems are template-level, so a sample and a full run see the same set.

Read the report

Each run writes two outputs to ~/Documents/seo-ops/out/ (--state-dir / --out / $SEO_OPS_DIR to change):

Output For What it is
report-<site>-<date>.md humans mirrors the checklist one-to-one; the same 30 rows every run
checks.db machines SQLite, checks(site, url, rule_id, status, evidence, checked_at), primary key (site,url,rule_id); accumulates across runs for diffing
Result Meaning
✅ pass tested, passed
🔴 fail tested, failed — the Evidence column shows the violating pages and why
⚪ N.A. not tested; the reason code is in parentheses. "Not tested" is not "fine"
👤 human review the script doesn't judge; listed to remind a human to go through it

Common N.A. reason codes: need-domain (local mode), need-crux-key / need-crux-data (C4), need-key-declaration (C5), need-declaration (no rendering strategy declared), no-pages, crawl-capped (crawl hit the cap), throttled (throttled by the target; rerun slower).

Check the warning lines at the top of the report first — if any are present, this run's verdict is incomplete:

  • 🚦 throttled by the target (429/503) — we hit it too fast; the site is not at fault. Affected verdicts are recorded as N.A., not fail (a false red is more dangerous than a slow run). For a complete verdict: halve --workers or raise --sleep and rerun.
  • ⚠️ sample fetches failed (not throttling) — genuinely unreachable; these pages are excluded from the denominator.

Priorities: P0 = existence/incident layer (can't be fetched or indexed); P1 = performance layer (ranking and citation are discounted); P2 = optimizations.

Configuration

None of the three files is required. They live in ~/.config/seo-ops/ ($SEO_OPS_CONFIG_DIR to change); just copy from the templates — do not edit scripts/config.py; it's the skill body and gets overwritten wholesale on update.

mkdir -p ~/.config/seo-ops
File When you need it Cost of not creating it How to create
sites.yaml multi-site, or to declare a rendering strategy / mark YMYL pages single-site runs fine with --target; C15 records need-declaration, C21 has no human-review list cp references/sites.example.yaml ~/.config/seo-ops/sites.yaml
.env only when the user wants a "complete verdict" (CrUX / IndexNow key) not required; C4 records need-crux-key, C5 records need-key-declaration, everything else runs cp references/.env.example ~/.config/seo-ops/.env
config.yaml only to change thresholds none; all defaults apply cp references/config.example.yaml ~/.config/seo-ops/config.yaml

.env is a hidden file; ls without -a makes the directory look empty. Exported environment variables always beat .env — a key injected by CI can't be overridden by someone's local file. Legacy locations (<state-dir>/sites.yaml, <state-dir>/.env, scripts/.env) are still read, but whenever a value is actually taken from one, a warning prompts you to move it — a silently misplaced config makes the same command give different verdicts.

What config.yaml can tune

Every line in the template is the current default; keeping it as-is equals not configuring it. Change only the lines you need. Commonly tuned:

Parameter Effect
FETCH_SLEEP / FETCH_CONCURRENCY fetch throttling; overall QPS ≈ workers / interval. Defaults 1 / 1
PAGE_SAMPLE_SIZE page-level check coverage: 0 = full, >0 = sample cap
CRAWL_MAX_PAGES internal crawl cap (C6)
TITLE_MAX_CHARS / DESC_MAX_CHARS C11 length limits
THROTTLE_* throttle backoff and recovery
DOC_BASE_URL base URL for the report's Docs column links; switch it to a commit SHA to pin a version

Unregistered keys and type mismatches exit with an error, never silently ignored — a typo'd key producing a report on defaults is more dangerous than an error.

Three categories can't be tuned here: secrets (live in .env); constants (the three CWV thresholds are Google's official "good" lines, the sitemap 50k cap is a protocol hard limit, the viewport token is the spec value — change them and it's no longer the same check); structural judgments (TYPE_REQUIRED, LD_REJECTED_TYPES, BODY_HIDE_PATTERNS — changing them changes the check logic; that belongs in a human-reviewed PR, not hidden in someone's local yaml).

Tips for SEO Ops

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • If two skills overlap, mention the one you want by name.

Questions about SEO Ops

What does the SEO Ops skill do?

Structural checklist and checker script for SEO foundation engineering. Use when reviewing or accepting a site/page for SEO/GEO structural compliance (robots, sitemap, canonical, 301 canonicalization, JSON-LD, OG, hreflang, CWV, AI crawler access, rendering strategy), when running the machine checks to produce a report, or when judging whether a frontend change will affect indexing and citation. Also for answering "what exactly does this check require" and "why does it exist".

How do I install SEO Ops?

Run "npx skills add tigerless-labs/seo-ops" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does SEO Ops work in Cursor and Codex?

Yes. SEO Ops uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is SEO Ops free?

SEO Ops is open source on GitHub. It is free to install; check the license before commercial use.

Who made SEO Ops?

SEO Ops is published by tigerless-labs in the tigerless-labs/seo-ops repository.

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