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 SunrisesIllNeverSee/agent-universe --skill testing-seogit clone --depth 1 https://github.com/SunrisesIllNeverSee/agent-universeWrote 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/sunrisesillneversee/agent-universe/testing-seo)<a href="https://agentmods.dev/skills/sunrisesillneversee/agent-universe/testing-seo"><img src="https://agentmods.dev/badge/skills/sunrisesillneversee/agent-universe/testing-seo/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/sunrisesillneversee/agent-universe/testing-seo"><img src="https://agentmods.dev/badge/skills/sunrisesillneversee/agent-universe/testing-seo.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 | $0.00039 | $0.00587 |
| Opus 5.5 | $0.00016 | $0.00235 |
| Sonnet 5.5 | $0.00008 | $0.00117 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
testing-seo scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- After merge, spot-check production via `curl -s https://signomy.xyz/<page> | grep 'name="description"'` How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing SEO Changes — signomy.xyz
Architecture
- Frontend: Vercel (
signomy.xyzDNS) — serves static HTML fromfrontend/withcleanUrls: true - Backend: Railway — only handles
/api/*,/mcp,/health,/ws/*,/docs/*via Vercel rewrites - Velvet Rope middleware runs on Railway only — does NOT affect Googlebot crawling pages on Vercel
Vercel Preview Limitation
Vercel preview deployments may have deployment protection (SSO) enabled, returning 401. If this happens:
- Test source files directly via grep/inspection
- Curl production to establish a baseline (confirm the problem exists today)
- After merge, spot-check production via
curl -s https://signomy.xyz/<page> | grep 'name="description"'
Key Test Commands
Check meta descriptions exist
for f in frontend/*.html; do
name=$(basename "$f" .html)
desc=$(grep -oP 'name="description" content="\K[^"]+' "$f" | head -1)
echo "$name: ${desc:-MISSING}"
done
Check canonicals
for f in frontend/*.html; do
name=$(basename "$f" .html)
canonical=$(grep -oP 'rel="canonical" href="\K[^"]+' "$f" | head -1)
echo "$name: ${canonical:-NO CANONICAL}"
done
Verify redirects on production
curl -sI -o /dev/null -w "%{http_code} %{redirect_url}" "https://signomy.xyz/<path>"
Check robots.txt
curl -s https://signomy.xyz/robots.txt | grep -i sitemap
Common Issues
sitemap.htmlcanonical was broken (pointed to/mapsitewhich 404'd on Vercel). The canonical should match the actual serving URL.sitemap.xmlandsitemap-v2.xmlwere identical duplicates. Keep only one inrobots.txt.- Pages with
og:descriptionbut no<meta name="description">— Google uses the standard meta tag, not OG. www.signomy.xyzredirects with 307 (temporary) instead of 301. This is a Vercel dashboard setting, not configurable invercel.json.
Devin Secrets Needed
None — SEO testing uses only public curl requests and source file inspection.
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.
- 2mo ago First seen · 57 lines · 39 tokens per session scan A c459e9587aae
testing-seo is a skill published in the GitHub repository SunrisesIllNeverSee/agent-universe (1 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 587 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
pytest-suite
Write or extend the backend test suite following this project's conventions. Use when adding tests for a new service/route/repository, when coverage is missing, or when asked to test a feature. Knows the mocked-session + httpx AsyncClient setup so tests run with no database.
maintain-python-template
Extend or repair the Python Template repository while keeping its catalog, Copier questions, templates, generated references, and tests synchronized. Use for adding a framework, provider, database, interface, ML tool, deployment target, preset, compatibility rule, or generated-project capability.
validate-python-stack
Validate the Python Template repository or a project generated from it. Use before committing, publishing, deploying, or reviewing a stack to check catalog compilation, rendering, dependencies, formatting, tests, security workflows, skills, and representative runtime behavior.
operate-ai-stack
Develop, test, and troubleshoot this generated AI or ML workload across its framework, model and embedding providers, retrieval stores, interfaces, training, serving, and observability layers. Use when changing prompts, tools, agents, RAG, MCP, inference, fine-tuning, evaluations, or provider integration.
project-workflow
Develop, test, and maintain this generated Python project using its recorded Copier choices and uv toolchain. Use for any code, dependency, configuration, documentation, or test change in this project, including simple libraries, CLIs, APIs, and layered AI or ML applications.
pytest
Skill "pytest" from bobmatnyc/claude-mpm-skills, covering pytest - professional python testing, basic pytest, with common plugins, for fastapi testing and for django testing.