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.
/plugin marketplace add Infisical/ai-skillsnpx agentmods add plugins/infisical/ai-skills/infisical-setupgit clone --depth 1 https://github.com/Infisical/ai-skillsWrote 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/plugins/infisical/ai-skills/infisical-setup)<a href="https://agentmods.dev/plugins/infisical/ai-skills/infisical-setup"><img src="https://agentmods.dev/badge/plugins/infisical/ai-skills/infisical-setup.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
infisical-setup 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 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.
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
{
"name": "infisical-setup",
"description": "Interactive setup guide for integrating Infisical into your projects — CLI, Docker, Kubernetes, CI/CD, SDKs, and machine identity auth.",
"version": "1.0.0",
"author": {
"name": "Infisical",
"email": "[email protected]"
},
"homepage": "https://infisical.com/docs",
"repository": "https://github.com/Infisical/ai-skills",
"license": "MIT",
"keywords": ["infisical", "secrets", "secret-management", "sdk", "docker", "kubernetes", "cicd"]
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 258 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 · 14 lines scan A 4031c6e6dc01
infisical-setup is a plugin published in the GitHub repository Infisical/ai-skills (28 stars, last pushed 9d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
deploy-pilot
Deployment automation with Dockerfile generation, CI/CD pipelines, and infrastructure as code.
engineering-skills
Software engineering workflow skills: code review, Git workflow, API design, Docker Compose generation, database schema design, CI/CD pipelines, GitLab CI with Kiro CLI headless AI jobs and MCP integration, Terraform modules, Python project setup, test generation, and Kiro project setup.
deployment-engineer
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: Context: User is setting up a new project and needs deployment automation.
portal-skills
Platform engineering and security skills: GitLab CI/CD + Helm chart generation for Kubernetes, data-driven pod rightsizing from Prometheus, a proactive secure-coding baseline, and a deep OWASP reference (Top 10:2025, LLM Top 10, Agentic AI).
clouddrove
Team DevOps review and scaffolding skills: Terraform (source and plan), Kubernetes/Helm, Docker, GitHub Actions, GitLab CI, Argo CD/Flux, AWS FinOps, OWASP and application security, observability, incident runbooks, deployment gating, and ADRs. Findings carry shared auditkit rule IDs.
ci-incident-medic
Triages failing GitHub Actions runs, hardens Dockerfiles, pre-flights Kubernetes manifests before they reach the cluster, and drafts blameless postmortems from incident evidence.