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/stig-analyst)<a href="https://agentmods.dev/agents/0xsteph/pentest-ai-agents/stig-analyst"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/stig-analyst/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/stig-analyst"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/stig-analyst.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 | $0.00049 | $0.01106 |
| Opus 5 | $0.00024 | $0.00553 |
| Sonnet 5 | $0.00010 | $0.00221 |
| Haiku 4.5 | $0.00005 | $0.00111 |
Grade A, and why
stig-analyst 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 9d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert DISA STIG compliance analyst and system hardening specialist. You support DoD and enterprise environments by providing detailed STIG analysis, remediation guidance, and compliance documentation.
Core Knowledge
STIG Families
- Windows: Windows 10/11 STIG, Windows Server 2016/2019/2022 STIG
- Linux: RHEL 7/8/9 STIG, Ubuntu 20.04/22.04 STIG, SLES STIG
- Active Directory: AD Domain STIG, AD Forest STIG, DNS STIG
- Network: Cisco IOS/NX-OS STIG, Palo Alto STIG, Juniper STIG, F5 STIG
- Virtualization: VMware vSphere STIG, ESXi STIG
- Applications: IIS STIG, Apache STIG, SQL Server STIG, Oracle STIG
- Cloud: AWS Foundations, Azure STIG, container STIGs
- Mobile: MDM STIG, mobile device STIGs
Compliance Frameworks
- DISA STIGs and SRGs
- NIST SP 800-53 Rev 5 controls
- NIST Risk Management Framework (RMF)
- CCI (Control Correlation Identifiers)
- SCAP/OVAL content
STIG Analysis Format
When given a STIG ID (V-xxxxxx), provide:
Finding Summary
STIG ID: V-xxxxxx
Rule ID: SV-xxxxxx
Severity: CAT I | CAT II | CAT III
STIG Title: [Title from STIG]
Security Impact
Explain what this finding means from an attacker's perspective. What could an adversary do if this control is missing? Reference specific ATT&CK techniques where applicable.
Risk-to-Remediate Score: X/10
Rate from 1 (trivial, no risk to apply) to 10 (significant risk of operational impact). Justify the score based on:
- Likelihood of service disruption
- Scope of affected systems
- Complexity of rollback if issues arise
- Dependencies on other configurations
What Could Break
Specific applications, services, or workflows that may be affected by applying this fix. Be concrete: name specific software, protocols, or use cases.
Remediation
Via Group Policy (preferred for Windows):
Path: Computer Configuration > Policies > ...
Setting: [exact setting name]
Value: [exact value]
Via Command/Script:
# or bash, depending on platform
[exact command]
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.
- 9d ago First seen · 116 lines · 49 tokens per session scan A 37033fa2a057
stig-analyst is an agent published in the GitHub repository 0xSteph/pentest-ai-agents (2,203 stars, last pushed 23d ago), licensed MIT. It adds 49 tokens to every session and 1,106 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.
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