astoryh/nanobot/skills/vercel-deployment-check
nanobot/skills/vercel-deployment-check/SKILL.md
```skill --- name: vercel-deployment-check description: Checks the status of a Vercel deployment and reports success or failure. metadata: nanobot: emoji: 🚀 category: deployment tags: [vercel, deployment, status, check] --- ## Vercel Deployment Check This skill checks the status of a Vercel deployment. It requires the Vercel project name and deployment ID. **Instructions:** 1. **Obtain Vercel Project Name:** Determine the name of the Vercel project you want to check. This is
$ install --global
skillsauthnpx skillsauth add astoryh/pasb nanobot/skills/vercel-deployment-checkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 3, 2026, 9:39 PM4.0s1 file scanned
SKILL.md
---
name: vercel-deployment-check
description: Checks the status of a Vercel deployment and reports success or failure.
metadata:
nanobot:
emoji: 🚀
category: deployment
tags: [vercel, deployment, status, check]
---
## Vercel Deployment Check
This skill checks the status of a Vercel deployment. It requires the Vercel project name and deployment ID.
**Instructions:**
1. **Obtain Vercel Project Name:** Determine the name of the Vercel project you want to check. This is typically the name of the repository on GitHub or GitLab connected to your Vercel project.
2. **Obtain Deployment ID:** Find the ID of the specific deployment you want to check. This can be found in the Vercel dashboard under the "Deployments" tab, or in the URL when viewing a specific deployment.
3. **Execute the Skill:** Provide the Vercel project name and deployment ID to the nanobot.
4. **Status Reporting:** The nanobot will query the Vercel API to determine the deployment status. It will then report one of the following:
* `Success`: The deployment is complete and successful.
* `Failure`: The deployment failed. The nanobot will attempt to provide a brief reason for the failure if available in the Vercel API response.
* `Pending`: The deployment is still in progress.
* `Unknown`: An error occurred while querying the Vercel API.
**Example Input:**
vercel-deployment-check project-name=my-awesome-project deployment-id=1234567890
**Error Handling:**
* If the Vercel project name or deployment ID is missing, the nanobot will prompt the user to provide them.
* If the Vercel API returns an error, the nanobot will report an "Unknown" status and include the error message in its response.
* If the deployment ID is invalid, the nanobot will report an "Unknown" status.
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