Prowler is an open-source cloud security platform that checks cloud environments for security issues and compliance with standards such as CIS, NIST, and GDPR. Security teams use it to assess configurations, prioritize findings, produce reports, and guide remediation.
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 skills add prowler-cloud/prowler --skill ai-sdk-5git clone --depth 1 https://github.com/prowler-cloud/prowlerWrote 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/prowler-cloud/prowler/ai-sdk-5)<a href="https://agentmods.dev/skills/prowler-cloud/prowler/ai-sdk-5"><img src="https://agentmods.dev/badge/skills/prowler-cloud/prowler/ai-sdk-5.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00044 | $0.01454 |
| Opus 5 | $0.00022 | $0.00727 |
| Sonnet 5 | $0.00009 | $0.00291 |
| Haiku 4.5 | $0.00004 | $0.00145 |
Grade A, and why
ai-sdk-5 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Breaking Changes from AI SDK 4
// ❌ AI SDK 4 (OLD)
import { useChat } from "ai";
const { messages, handleSubmit, input, handleInputChange } = useChat({
api: "/api/chat",
});
// ✅ AI SDK 5 (NEW)
import { useChat } from "@ai-sdk/react";
import { DefaultChatTransport } from "ai";
const { messages, sendMessage } = useChat({
transport: new DefaultChatTransport({ api: "/api/chat" }),
});
Client Setup
import { useChat } from "@ai-sdk/react";
import { DefaultChatTransport } from "ai";
import { useState } from "react";
export function Chat() {
const [input, setInput] = useState("");
const { messages, sendMessage, isLoading, error } = useChat({
transport: new DefaultChatTransport({ api: "/api/chat" }),
});
const handleSubmit = (e: React.FormEvent) => {
e.preventDefault();
if (!input.trim()) return;
sendMessage({ text: input });
setInput("");
};
return (
<div>
<div>
{messages.map((message) => (
<Message key={message.id} message={message} />
))}
</div>
<form onSubmit={handleSubmit}>
<input
value={input}
onChange={(e) => setInput(e.target.value)}
placeholder="Type a message..."
disabled={isLoading}
/>
<button type="submit" disabled={isLoading}>
Send
</button>
</form>
{error && <div>Error: {error.message}</div>}
</div>
);
}
UIMessage Structure (v5)
// ❌ Old: message.content was a string
// ✅ New: message.parts is an array
interface UIMessage {
id: string;
role: "user" | "assistant" | "system";
parts: MessagePart[];
}
type MessagePart =
| { type: "text"; text: string }
| { type: "image"; image: string }
| { type: "tool-call"; toolCallId: string; toolName: string; args: unknown }
| { type: "tool-result"; toolCallId: string; result: unknown };
// Extract text from parts
function getMessageText(message: UIMessage): string {
return message.parts
.filter((part): part is { type: "text"; text: string } => part.type === "text")
.map((part) => part.text)
.join("");
}
// Render message
function Message({ message }: { message: UIMessage }) {
return (
<div className={message.role === "user" ? "user" : "assistant"}>
{message.parts.map((part, index) => {
if (part.type === "text") {
return <p key={index}>{part.text}</p>;
}
if (part.type === "image") {
return <img key={index} src={part.image} alt="" />;
}
return null;
})}
</div>
);
}
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.
- 8d ago First seen · 237 lines · 44 tokens per session scan A bb521bed71fd
ai-sdk-5 is a skill published in the GitHub repository prowler-cloud/prowler (14,765 stars, last pushed 3d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,454 once invoked, about $0.0002 per session on Opus 5. 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 skills, from other repositories
performing-aws-account-enumeration-with-scout-suite
Perform comprehensive security posture assessment of AWS accounts using ScoutSuite to enumerate resources, identify misconfigurations, and generate actionable security reports.
cis-aws-database-3.11
Ensure to Regularly Review Security Configuration.
ponytail-sec-audit
Full project security audit. Scans the entire codebase across three passes: code that shouldn't exist, all dependencies assessed, all hardening findings. Produces a comprehensive numbered report with blast-radius narrative. Persists findings to .ponytail-sec/ for cross-scan tracking. For per-diff review use…
ponytail-sec
Security companion for active development. Scopes to the current diff or changed files. Three passes: YAGNI code review, new-dep assessment, and up to 3 material hardening findings. Lean by design — surfaces the one thing to fix before merging, not a backlog. Use ponytail-sec-audit for a full project scan.
dockerfile
Binary Dockerfile image-build hardening check. Use when reviewing Dockerfiles, container image builds, multi-stage builds, runtime users, pinned bases, or reproducible dependency installs. Minimal output only: OK or NOTOK: RULE, RULE.
k8s-securitycontext
Binary Kubernetes securityContext hardening check. Use when reviewing Pods, Deployments, StatefulSets, DaemonSets, Jobs, CronJobs, Helm templates, or Kubernetes manifests that define containers. Minimal output only: OK or NOTOK: RULE, RULE.