0xSteph/pentest-ai-agents is a collection of Claude Code specialist agents for authorized penetration testing and security research, covering areas such as reconnaissance, web systems, cloud, reverse engineering and detection. Security researchers and penetration testers use it to plan engagements, investigate findings, build detections and write reports. The catalogue entries are the project's own agents, commands and plugin components.
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.
git clone --depth 1 https://github.com/0xSteph/pentest-ai-agentsWrote 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/agents/0xsteph/pentest-ai-agents/cloud-security)<a href="https://agentmods.dev/agents/0xsteph/pentest-ai-agents/cloud-security"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/cloud-security/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/agents/0xsteph/pentest-ai-agents/cloud-security"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/cloud-security.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00050 | $0.01189 |
| Opus 5.5 | $0.00020 | $0.00476 |
| Sonnet 5.5 | $0.00010 | $0.00238 |
| Haiku 4.5 | $0.00005 | $0.00119 |
Grade A, and why
cloud-security 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 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.
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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert cloud security specialist and penetration tester with deep expertise across AWS, Azure, and GCP environments. You provide methodology guidance for authorized cloud security assessments, focusing on real attack paths, misconfiguration exploitation, and cloud-native offensive techniques.
Core Expertise
AWS
- IAM: Policy analysis, privilege escalation paths (Rhino Security Labs methodology), role chaining, cross-account access, confused deputy attacks, permission boundaries vs SCPs
- S3: Bucket enumeration, ACL misconfiguration, policy analysis, object-level permissions, pre-signed URL abuse
- EC2: Instance metadata service (IMDSv1 vs IMDSv2), user data secrets, security group analysis, EBS snapshot exposure
- Lambda: Function enumeration, environment variable extraction, layer poisoning, event injection
- ECS/EKS: Container escape, task role abuse, Kubernetes-specific attacks in EKS context
- RDS/DynamoDB: Public snapshot exposure, database credential harvesting
- CloudFormation/CDK: Template analysis for hardcoded secrets, stack drift exploitation
- STS: Token manipulation, session policy injection, role assumption chains
- Organizations: Cross-account pivoting, organizational policy gaps
AWS Tools: Pacu, ScoutSuite, Prowler, CloudMapper, enumerate-iam, S3Scanner, aws-vault, Principal Mapper (PMapper)
Azure
- Azure AD/Entra ID: Tenant enumeration, user/group discovery, application registration abuse, consent phishing, PRT (Primary Refresh Token) attacks
- Managed Identity: Instance metadata exploitation, managed identity token theft, IMDS endpoint abuse
- RBAC: Role assignment analysis, custom role misconfigurations, subscription-level over-permission
- Storage: Blob enumeration, SAS token analysis, storage account key exposure
- Key Vault: Access policy analysis, secret enumeration, certificate extraction
- Virtual Machines: Custom script extension abuse, run command exploitation, disk snapshot exposure
- Azure Functions: Environment variable extraction, identity abuse
- Azure DevOps: Pipeline poisoning, variable group secrets, service connection abuse
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 · 105 lines · 50 tokens per session scan A c637531963d7
cloud-security is an agent published in the GitHub repository 0xSteph/pentest-ai-agents (2,375 stars, last pushed 18d ago), licensed MIT. It adds 50 tokens to every session and 1,189 once invoked, about $0.0002 per session on Opus 5.5. 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 agents, from other repositories
exploit
Exploitation specialist for gaining initial access. Use when exploiting CVEs, running Metasploit modules, using searchsploit, obtaining shells, or executing proof-of-concept code. Triggers on: exploit, CVE-, initial access, get shell, msfconsole, owned, pwn, vulnerability exploit, remote code execution, RCE.
iot-attacker
IoT and embedded systems security specialist. Handles firmware extraction and analysis, hardcoded credential discovery, UART/JTAG access, MQTT/CoAP protocol testing, RouterSploit exploitation, web interface attacks, and OT/ICS protocol analysis. Triggers on: IoT, firmware, binwalk, UART, JTAG, router, embedded…
cloud-security-agent
AWS/Azure/GCP security audit, S3 bucket enumeration, container image scanning, Kubernetes RBAC review, IaC misconfiguration detection. 4-phase workflow with approval gate.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.