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.
npx skills add lisbeth718/pseo-skills --skill gscgit clone --depth 1 https://github.com/lisbeth718/pseo-skillsWrote 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/skills/lisbeth718/pseo-skills/gsc)<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/gsc"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/gsc/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/skills/lisbeth718/pseo-skills/gsc"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/gsc.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 | $0.00055 | $0.02497 |
| Opus 5.5 | $0.00022 | $0.00999 |
| Sonnet 5.5 | $0.00011 | $0.00499 |
| Haiku 4.5 | $0.00006 | $0.00250 |
Grade A, and why
gsc 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Search Console
Pull, analyze, and act on Google Search Console data for any site. In the pSEO pipeline this is the post-launch monitoring step: run it after pseo-quality-guard once pages are live and the sitemap is submitted.
Facts below are from docs/research-2026-10.md (2026-10-12).
Prerequisites
Scripts live in this skill's scripts/ folder (<skill-dir>/scripts/, for example .claude/skills/gsc/scripts/). Install once:
cd <skill-dir>/scripts && npm install
Credentials (override paths with env vars GSC_CLIENT and GSC_TOKENS):
- OAuth client:
~/.config/gsc-oauth-client.json - OAuth tokens:
~/.config/gsc-oauth-tokens.json
If tokens don't exist, follow the Setup section. Never commit these files.
Determine the site property
sc-domain:example.com(domain property, covers all subdomains)https://example.com/(URL prefix property)
Try the domain property first. On a permission error, try the URL prefix version.
Actions
pull (default)
Default 28 days, configurable with --days.
npx tsx <skill-dir>/scripts/pull.ts --site sc-domain:example.com --days 28
# explicit range (overrides --days), full page coverage, custom output file
npx tsx <skill-dir>/scripts/pull.ts --site sc-domain:example.com --start 2026-07-01 --end 2026-09-28 --pages 25000 --out data/gsc-current.json
# full query+page dataset for cannibalization work
npx tsx <skill-dir>/scripts/pull.ts --site sc-domain:example.com --dims query,page --out data/gsc-qp.json
Run from the project root. Output goes to ./data/gsc-queries.json in the current working directory unless --out <path> is given. The script fetches (paginating with startRow):
- Top 500 queries with clicks, impressions, CTR, position (
--queries N) - Top 200 pages with the same metrics (
--pages N; use--pages 25000for full page coverage) - Per-page query breakdown for the top 30 pages (
--top-pages N) - With
--dims query,page: the full query+page dataset (25,000 rows per request, paginated) in aqueryPagesarray. This can be large and counts against load quotas.
What ships with it
7 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.
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.
- 6d ago First seen · 168 lines · 55 tokens per session scan A b826358bcc39
gsc is a skill published in the GitHub repository lisbeth718/pseo-skills (54 stars, last pushed 6d ago), licensed MIT. It adds 55 tokens to every session and 2,497 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-12.
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