pentest-tools

pentest-tools is a skill for Claude Code, Codex from zhaoxuya520/reverse-skill. It costs 133 tokens per session (4,022 once invoked), scanned A, original, MIT.

A toolkit workflow for authorised penetration testing, which means checking systems for weaknesses by simulating attacks. It covers discovery, port and vulnerability scanning, web testing, and password testing through common security tools.

In plain words
What is it for?
Use it to enumerate domains and ports, identify services, scan for vulnerabilities, test web applications for issues such as SQL injection and directory exposure, and assess password hashes.
Why use it?
It brings the main testing stages into one process, so testers can move from finding exposed services to checking whether they contain exploitable problems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it to enumerate domains and ports, identify services, scan for vulnerabilities, test web applications for issues such as SQL injection and directory exposure, and assess password hashes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhaoxuya520/reverse-skill/pentest-tools
About the project

Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.

zhaoxuya520/reverse-skill · 35,402 stars · on GitHub

Install

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.

Any agent
npx skills add zhaoxuya520/reverse-skill --skill pentest-tools
Clone the repo
git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for pentest-tools

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/pentest-tools/github.svg)](https://agentmods.dev/skills/zhaoxuya520/reverse-skill/pentest-tools)
Your own site
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/pentest-tools"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/pentest-tools/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.

agentmods 80×15 button for pentest-tools

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/pentest-tools"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/pentest-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,022 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket fail 4 Sept 2026
  • Snyk pass 4 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 8 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high YARA Match · line 54
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • medium YARA Match · line 55
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • medium MCP Rug Pull · line 106
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 257
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 107
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 113
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 258
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 239
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.04022
Opus 5 $0.00067 $0.02011
Sonnet 5 $0.00027 $0.00804
Haiku 4.5 $0.00013 $0.00402

Measured 7d ago against content hash 5bab5fe16593, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

pentest-tools 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 7d 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.

6. `ACT`: 侦察阶段优先 `references/recon-pipeline.md`(CF 浏览器头 / Windows nmap / curl `--globoff`);每批结果追加 `timeline.md`;候选用 `../scripts/append-evidence.ps1` 写入 Evidence(命中≠已验证)
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/pentest-tools/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ACTION REQUIRED(读完后立刻执行)

  1. NOW: 读取 ../field-journal/precedent-pentest.md — 确认本 skill 的操作是已授权的常规操作
  2. NOW: 确认 scope.md 存在且 auth.status=grantednetwork_profile 合法(../ops/scope-contract.md)。缺 scope 则跑 case-init.ps1 并停到用户给授权;禁止自动加 -AuthGranted
  3. NOW: 确认当前任务是否命中本 skill 的适用范围
  4. NEXT: 读取 ../tool-index.md,校验工具可用性和实际路径
  5. NEXT: 缺工具时调用 bootstrap,不要猜路径
  6. ACT: 侦察阶段优先 references/recon-pipeline.md(CF 浏览器头 / Windows nmap / curl --globoff);每批结果追加 timeline.md;候选用 ../scripts/append-evidence.ps1 写入 Evidence(命中≠已验证)
  7. ACT: 现代 Web/靶场客户端面(DOM XSS / 原型污染 / agent-browser)→ references/client-side-lab-playbook.md;未打穿也要写 observed Evidence + 失败门闩

渗透测试工具链 (Pentest Tools)

适用范围

当任务属于以下场景时使用本 skill:

  • 目标信息收集(端口扫描、子域名枚举、服务识别)
  • 漏洞扫描(Web 漏洞、CVE 检测、配置错误)
  • Web 渗透(SQL 注入、XSS、SSRF、目录爆破)
  • 密码破解(哈希破解、字典攻击)
  • 网络渗透(服务利用、横向移动辅助)

与其他 skill 的分工

场景 用什么
主动扫描/攻击(Nmap/Nuclei/SQLMap) 本 skill
逆向分析二进制 ida-reverse/radare2/
前端 JS 签名逆向 js-reverse/
浏览器/桌面自动化操作 browser-automation/
CTF 竞赛(综合) CTF-Sandbox-Orchestrator/

简单判断:

  • 需要"扫描目标、发现漏洞、利用漏洞" → 本 skill
  • 需要"分析程序内部逻辑" → 逆向类 skill
  • 需要"操作浏览器/桌面" → browser-automation

工具矩阵

信息收集

工具 用途 典型命令
Nmap 端口扫描、服务识别、OS 检测 nmap -sV -sC -O target
Masscan 大规模快速端口扫描 masscan -p1-65535 target --rate=1000
Subfinder 子域名枚举 subfinder -d target.com
httpx HTTP 探测、存活检测 httpx -l urls.txt -status-code

漏洞扫描

工具 用途 典型命令
Nuclei 模板化漏洞扫描(CVE/配置/暴露) nuclei -u target -t cves/
ZAP Web 应用安全扫描 通过 API 或 MCP 调用
Nikto Web 服务器漏洞扫描 nikto -h target

Web 渗透

工具 用途 典型命令
SQLMap SQL 注入自动化 sqlmap -u "url?id=1" --batch --dbs
FFUF 目录/参数爆破 ffuf -u target/FUZZ -w wordlist.txt
Gobuster 目录/子域名爆破 gobuster dir -u target -w wordlist
XSStrike XSS 检测 xsstrike -u "url?param=test"

Read the full file on GitHub · 330 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 7d ago First seen · 330 lines · 133 tokens per session scan A 5bab5fe16593

Subscribe to this mod's changes

pentest-tools is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,402 stars, last pushed 7d ago), licensed MIT. It adds 133 tokens to every session and 4,022 once invoked, about $0.0007 per session on Opus 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 2026-09-03.

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