No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by pulumi · Agent Tool · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills safe to install? View the security audit →
Pulumi Agent Skills A collection of Agent Skills for infrastructure as code workflows with Pulumi. These skills teach AI coding assistants how to help with infrastructure migrations, secret management, and code translation. What are Agent Skills? Agent Skills are reusable knowledge packages that teach AI coding assistants domain-specific workflows. They follow the agentskills.io open standard and work with: Claude Code GitHub Copilot Cursor VS Code OpenAI Codex Repository Structure Skills are organized into four plugin groups: Available Skills Migration Skills Convert and import infrastructure from other tools to Pulumi: | [cloudformation-to-pulumi](migration/s
| Stars | 69 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 71.5485344577869/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-14 |
| Created | 2026-01-20 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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agent-skills is Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents. It is categorized as a Agent Tool with 69 GitHub stars.
agent-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code-plugin.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/pulumi/agent-skills. The project has 69 stars and 6 forks, indicating an active community.
agent-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agent-skills on Agent Skills Hub include apex, azure-agentic-infraops, ops0-cli. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: