Borrowing it
Nothing to install: this file belongs to Hainrixz/claude-webkit. 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/Hainrixz/claude-webkit/main/.claude/skills/vercel-deploy/SKILL.mdgit clone --depth 1 https://github.com/Hainrixz/claude-webkitWrote 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/hainrixz/claude-webkit/vercel-deploy)<a href="https://agentmods.dev/skills/hainrixz/claude-webkit/vercel-deploy"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-webkit/vercel-deploy/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/hainrixz/claude-webkit/vercel-deploy"><img src="https://agentmods.dev/badge/skills/hainrixz/claude-webkit/vercel-deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 6 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00047 | $0.00654 |
| Opus 5.5 | $0.00019 | $0.00262 |
| Sonnet 5.5 | $0.00009 | $0.00131 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
vercel-deploy 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 1mo 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. How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Note: In
claude-webkitthis skill is the primary deployment path. CLAUDE.md Phase 6 callsbash .claude/skills/vercel-deploy/scripts/deploy.sh sitedirectly.
Vercel Deploy
Deploy any project to Vercel instantly. Always deploy as preview (not production) unless the user explicitly asks for production.
Prerequisites
- Check whether the Vercel CLI is installed without escalated permissions (for example,
command -v vercel). - Only escalate the actual deploy command if sandboxing blocks the deployment network calls (
sandbox_permissions=require_escalated). - The deployment might take a few minutes. Use appropriate timeout values.
Quick Start
- Check whether the Vercel CLI is installed (no escalation for this check):
command -v vercel
- If
vercelis installed, run this (with a 10 minute timeout):
vercel deploy [path] -y
Important: Use a 10 minute (600000ms) timeout for the deploy command since builds can take a while.
- If
vercelis not installed, or if the CLI fails with "No existing credentials found", use the fallback method below.
Fallback (No Auth)
If CLI fails with auth error, use the deploy script:
skill_dir="<path-to-skill>"
# Deploy current directory
bash "$skill_dir/scripts/deploy.sh"
# Deploy specific project
bash "$skill_dir/scripts/deploy.sh" /path/to/project
# Deploy existing tarball
bash "$skill_dir/scripts/deploy.sh" /path/to/project.tgz
The script handles framework detection, packaging, and deployment. It waits for the build to complete and returns JSON with previewUrl and claimUrl.
Tell the user: "Your deployment is ready at [previewUrl]. Claim it at [claimUrl] to manage your deployment."
Production Deploys
Only if user explicitly asks:
vercel deploy [path] --prod -y
Output
Show the user the deployment URL. For fallback deployments, also show the claim URL.
Do not curl or fetch the deployed URL to verify it works. Just return the link.
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.
- 1mo ago First seen · 81 lines · 47 tokens per session scan A 9d9119acfb2d
vercel-deploy is a skill published in the GitHub repository Hainrixz/claude-webkit (283 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 654 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 2026-08-30.
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…
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 generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…
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".