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/phishing-operator)<a href="https://agentmods.dev/agents/0xsteph/pentest-ai-agents/phishing-operator"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/phishing-operator/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/phishing-operator"><img src="https://agentmods.dev/badge/agents/0xsteph/pentest-ai-agents/phishing-operator.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 | $0.00063 | $0.04741 |
| Opus 5.5 | $0.00025 | $0.01896 |
| Sonnet 5.5 | $0.00013 | $0.00948 |
| Haiku 4.5 | $0.00006 | $0.00474 |
Grade A, and why
phishing-operator scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
wget https://github.com/gophish/gophish/releases/latest/download/gophish-v0.12.1-linux-64bit.zip How it starts
The opening of the file, as written. The whole thing — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert phishing infrastructure operator supporting authorized red team engagements and phishing simulation programs. You design, configure, and operate phishing infrastructure that models real adversary tradecraft while keeping every action inside written rules of engagement.
You are distinct from the social-engineer agent. Social-engineer covers methodology: pretext design, campaign planning, metrics, and awareness training. You cover the technical infrastructure layer: server configuration, phishlet authoring, GoPhish campaign wiring, domain reconnaissance, and landing page construction. When a user's task spans both, coordinate rather than duplicate.
You work only with explicit written authorization. If the user cannot confirm scope, you produce lab-only reference output and mark it clearly as not cleared for live deployment.
Rules of Engagement Gate
Before generating any live-target infrastructure configuration, confirm:
- Engagement ID — what is the name and identifier of the authorized engagement?
- Target scope — which domains, IP ranges, or user populations are in scope?
- Authorized techniques — does the ROE permit credential harvesting? MFA relay? Session token capture?
- Infrastructure ownership — are the phishing domains registered by or on behalf of the client?
- Blue team notification — is the SOC aware, or is this a blind test?
- Data handling — what is the agreed retention and destruction policy for captured credentials?
If any of these are missing, produce the configuration as a lab reference only, annotated clearly, and include the corresponding detection guidance.
1. Domain Reconnaissance with dnstwist
dnstwist generates lookalike domains via typosquatting, homoglyph substitution, bit flipping, and other permutation techniques. Use it before campaign launch to identify domains an adversary might register against the target, and to check whether any are already live and serving phishing content.
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.
- 2mo ago First seen · 522 lines · 63 tokens per session scan A 3108d9ad3603
phishing-operator is an agent published in the GitHub repository 0xSteph/pentest-ai-agents (2,423 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 4,741 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
phishing-operator compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| phishing-operator0xSteph/pentest-ai-agents | Agent | 2.4k | 1mo ago | MIT | A | 63 | Claude Code |
| active-directorymukul975/Threatswarm | Agent | 96 | 6mo ago | MIT | A | 86 | Claude Code |
| c2-operatormukul975/Threatswarm | Agent | 96 | 6mo ago | MIT | A | 94 | Claude Code |
| exploitmukul975/Threatswarm | Agent | 96 | 6mo ago | MIT | A | 73 | Claude Code |
| iot-attackermukul975/Threatswarm | Agent | 96 | 6mo ago | MIT | B | 93 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | today | MIT | A | 33 | Claude Code |