Borrowing it
Nothing to install: this file belongs to asasugar/SuperSpec. 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/asasugar/SuperSpec/master/.cursor/skills/deploy-gh-pages/SKILL.mdgit clone --depth 1 https://github.com/asasugar/SuperSpecWrote 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/asasugar/superspec/deploy-gh-pages)<a href="https://agentmods.dev/skills/asasugar/superspec/deploy-gh-pages"><img src="https://agentmods.dev/badge/skills/asasugar/superspec/deploy-gh-pages.svg" alt="Measured on agentmods" 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 | $0.00086 | $0.00448 |
| Opus 5 | $0.00043 | $0.00224 |
| Sonnet 5 | $0.00017 | $0.00090 |
| Haiku 4.5 | $0.00009 | $0.00045 |
Grade A, and why
deploy-gh-pages 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 8d 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.
What it actually says
Deploy to GitHub Pages
Two deployment strategies available, choose based on user's needs.
Strategy 1: GitHub Actions (recommended)
Automatic deployment on push to master. Uses GitHub's native Pages deployment.
- Copy
assets/deploy-docs.ymlto.github/workflows/deploy-docs.yml - Adjust the workflow if needed:
pathsfilter: match the docs directoryworking-directory: match the docs build directorypathin upload step: match the build output directorybranches: match the trigger branch
- Ensure GitHub repo Settings → Pages → Source is set to "GitHub Actions"
VitePress base path
If the repo name is NOT <username>.github.io, add base to VitePress config:
export default defineConfig({
base: '/<repo-name>/'
})
Strategy 2: Manual deploy script
Push build output directly to gh-pages branch.
- Run
scripts/deploy.sh [docs-dir] [branch] [remote]docs-dir: docs directory path (default:docs)branch: target branch (default:gh-pages)remote: git remote (default:origin)
- Set GitHub repo Settings → Pages → Source to "Deploy from a branch" → select
gh-pages
Troubleshooting
- 404 after deploy: Check
baseconfig matches repo name - Build fails: Ensure
pnpm installruns in docs directory first - Permission denied: Ensure GitHub Actions has write permissions (Settings → Actions → General → Workflow permissions)
What ships with it
2 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.
- 8d ago First seen · 47 lines · 86 tokens per session scan A 43ccc9b07c01
deploy-gh-pages is a skill published in the GitHub repository asasugar/SuperSpec (15 stars, last pushed 5mo ago), licensed MIT. It adds 86 tokens to every session and 448 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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