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 agentmods add skills/daloyjs/daloy/deploy-to-vercelnpx skills add daloyjs/daloy --skill deploy-to-vercelgit clone --depth 1 https://github.com/daloyjs/daloyWrote 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/daloyjs/daloy/deploy-to-vercel)<a href="https://agentmods.dev/skills/daloyjs/daloy/deploy-to-vercel"><img src="https://agentmods.dev/badge/skills/daloyjs/daloy/deploy-to-vercel.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 | $0.00047 | $0.02894 |
| Opus 5 | $0.00023 | $0.01447 |
| Sonnet 5 | $0.00009 | $0.00579 |
| Haiku 4.5 | $0.00005 | $0.00289 |
Grade A, and why
deploy-to-vercel 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 5d 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.
**Do not** curl or fetch the deployed URL to verify it works. Just return the link. This is a copy
100% identical to deploy-to-vercel — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy to Vercel
Deploy any project to Vercel. Always deploy as preview (not production) unless the user explicitly asks for production.
The goal is to get the user into the best long-term setup: their project linked to Vercel with git-push deploys. Every method below tries to move the user closer to that state.
Step 1: Gather Project State
Run all four checks before deciding which method to use:
# 1. Check for a git remote
git remote get-url origin 2>/dev/null
# 2. Check if locally linked to a Vercel project (either file means linked)
cat .vercel/project.json 2>/dev/null || cat .vercel/repo.json 2>/dev/null
# 3. Check if the Vercel CLI is installed and authenticated
vercel whoami 2>/dev/null
# 4. List available teams (if authenticated)
vercel teams list --format json 2>/dev/null
Team selection
If the user belongs to multiple teams, present all available team slugs as a bulleted list and ask which one to deploy to. Once the user picks a team, proceed immediately to the next step — do not ask for additional confirmation.
Pass the team slug via --scope on all subsequent CLI commands (vercel deploy, vercel link, vercel inspect, etc.):
vercel deploy [path] -y --no-wait --scope <team-slug>
If the project is already linked (.vercel/project.json or .vercel/repo.json exists), the orgId in those files determines the team — no need to ask again. If there is only one team (or just a personal account), skip the prompt and use it directly.
About the .vercel/ directory: A linked project has either:
.vercel/project.json— created byvercel link(single project linking). ContainsprojectIdandorgId..vercel/repo.json— created byvercel link --repo(repo-based linking). ContainsorgId,remoteName, and aprojectsarray mapping directories to Vercel project IDs.
Either file means the project is linked. Check for both.
Do NOT use vercel project inspect, vercel ls, or vercel link to detect state in an unlinked directory — without a .vercel/ config, they will interactively prompt (or with --yes, silently link as a side-effect). Only vercel whoami is safe to run anywhere.
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.
- 5d ago First seen · 297 lines · 47 tokens per session scan A cfcc3dd479ab
deploy-to-vercel is a skill published in the GitHub repository daloyjs/daloy (21 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 2,894 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to deploy-to-vercel, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
application-design-center-design-deploy
Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".