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 Elnora-AI/elnora-ai-agent-hackathon-starter-kit --skill deploygit clone --depth 1 https://github.com/Elnora-AI/elnora-ai-agent-hackathon-starter-kitWrote 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/elnora-ai/elnora-ai-agent-hackathon-starter-kit/deploy)<a href="https://agentmods.dev/skills/elnora-ai/elnora-ai-agent-hackathon-starter-kit/deploy"><img src="https://agentmods.dev/badge/skills/elnora-ai/elnora-ai-agent-hackathon-starter-kit/deploy.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00450 |
| Opus 5 | $0.00009 | $0.00225 |
| Sonnet 5 | $0.00003 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
deploy 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
Vercel Deploy
Deploy the current project to Vercel (preview or production).
Prerequisites
-
Check Vercel CLI is installed:
vercel --versionIf missing:
npm i -g vercel -
Check project is linked:
ls .vercel/project.json 2>/dev/null || ls .vercel/repo.json 2>/dev/null || echo "NOT LINKED"If not linked, run the setup skill first.
-
Check correct team:
vercel whoami
Deploy
Preview deployment (default)
vercel deploy
Production deployment
Production deploys overwrite what users see — confirm with the user before
running. In a monorepo, cd into the specific project directory first so the
right project is targeted.
vercel --prod # single-project repo
# OR
cd apps/web && vercel --prod # monorepo: deploy one project
Deploy with prebuilt output
If vercel build was run first:
vercel deploy --prebuilt
Deploy with environment overrides
vercel deploy --env KEY=value
Post-Deploy
- Display the deployment URL from the command output.
- If errors occur, suggest checking logs with
/vercel:logs. - For domain configuration, load
references/domains-and-dns.md.
Anti-Patterns
- Never use
vercel deployaftervercel buildwithout--prebuilt— the build output is ignored. - Never hardcode tokens in flags — use
VERCEL_TOKENenv var. - Never use
--yesto skip Vercel confirmation prompts — let them run.
For full deployment reference, see references/deployment.md.
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 · 74 lines · 17 tokens per session scan A 14ee1178f075
deploy is a skill published in the GitHub repository Elnora-AI/elnora-ai-agent-hackathon-starter-kit (22 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 450 once invoked, about $0.0001 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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