Borrowing it
Nothing to install: this file belongs to williamisnotdefined/rubiks-cube-solver. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/williamisnotdefined/rubiks-cube-solver/main/.agents/skills/frontend-seo-ssg/SKILL.mdgit clone --depth 1 https://github.com/williamisnotdefined/rubiks-cube-solverWrote 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/williamisnotdefined/rubiks-cube-solver/frontend-seo-ssg)<a href="https://agentmods.dev/skills/williamisnotdefined/rubiks-cube-solver/frontend-seo-ssg"><img src="https://agentmods.dev/badge/skills/williamisnotdefined/rubiks-cube-solver/frontend-seo-ssg/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/williamisnotdefined/rubiks-cube-solver/frontend-seo-ssg"><img src="https://agentmods.dev/badge/skills/williamisnotdefined/rubiks-cube-solver/frontend-seo-ssg.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 | $0.00030 | $0.02614 |
| Opus 5.5 | $0.00012 | $0.01046 |
| Sonnet 5.5 | $0.00006 | $0.00523 |
| Haiku 4.5 | $0.00003 | $0.00261 |
Grade A, and why
frontend-seo-ssg 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 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.
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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generated from ai/registry.json. Do not edit manually.
Canonical skill: ../../../ai/skills/frontend-seo-ssg.md.
Referenced context:
../../../ai/rules/frontend-rules.md../../../ai/rules/frontend-quality-rules.md../../../ai/architecture/web-architecture.md
This file is compiled from canonical AI knowledge files. Edit canonical files under ai, then run npm run ai:sync.
Compiled AI Skill: frontend-seo-ssg
Canonical Skill: ai/skills/frontend-seo-ssg.md
Frontend SEO And SSG
Use for route manifests, locales, metadata, static generation, hydration, public SEO assets, and language-routing E2E.
Read First
ai/rules/frontend-rules.mdai/rules/frontend-quality-rules.mdai/architecture/web-architecture.md
Workflow
- Update the route manifest as the shared source for routing, routable SSG paths, indexable sitemap paths, metadata, and alternates.
- Keep unprefixed
en-US; publish each other locale only with complete visible and SEO translations. - Preserve real React static rendering,
hydrateRoot, and SPA navigation after hydration. - Verify 200 responses for every routable path,
noindexfor incomplete paths, 404 only for unknown paths, generated HTML/assets, canonical/hreflang/JSON-LD parity, redirects/proxy behavior, build, and language-routing E2E.
Referenced Context
Reference: ai/rules/frontend-rules.md
Frontend Rules
Boundaries
- Keep solving, notation semantics, puzzle validity, and replay verification in Rust. React renders and coordinates typed product workflows.
- Keep HTTP mechanics and normalization in
apps/web/src/api; UI consumes domain hooks/adapters. - Typed scan-session contracts MAY contain reviewed stickers, confidence, and manual overrides. Notation solve UI MUST NOT expose facelet, Kociemba, or raw cube-state inputs.
- Keep API load, form, page workflow, solve result, scanner review, and visualization playback state separately owned unless a focused page owner coordinates them.
- Use the active
@rubiks-cube-solver/rubiks-cubepackage as a visualization adapter, never as canonical solver state.
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 · 167 lines · 30 tokens per session scan A 98f0e46401fd
frontend-seo-ssg is a skill published in the GitHub repository williamisnotdefined/rubiks-cube-solver (5 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 2,614 once invoked, about $0.0001 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 2026-08-31.
frontend-seo-ssg compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| frontend-seo-ssgwilliamisnotdefined/rubiks-cube-solver | Skill | 5 | 4d ago | MIT | A | 30 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |