pwn-chain

pwn-chain is a skill for Claude Code, Codex from 2233admin/reverse-skill-evolver. It costs 271 tokens per session (2,837 once invoked), scanned A, a copy of pwn-chain, MIT.

A workflow for turning a known software vulnerability into a working exploit, especially for binary programs and Linux kernel bugs. A binary is a compiled program rather than its source code.

In plain words
What is it for?
It is for authorized exploit development involving stack overflows, heap bugs, and kernel vulnerabilities, using tools such as pwntools and debuggers.
Why use it?
It addresses the gap between reproducing a flaw locally and making an exploit work reliably in a different environment.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for authorized exploit development involving stack overflows, heap bugs, and kernel vulnerabilities, using tools such as pwntools and debuggers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/2233admin/reverse-skill-evolver/pwn-chain
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 2233admin/reverse-skill-evolver --skill pwn-chain
Clone the repo
git clone --depth 1 https://github.com/2233admin/reverse-skill-evolver

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 pwn-chain

README.md
[![agentmods](https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/pwn-chain/github.svg)](https://agentmods.dev/skills/2233admin/reverse-skill-evolver/pwn-chain)
Your own site
<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/pwn-chain"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/pwn-chain/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 pwn-chain

Your own site · 80×15
<a href="https://agentmods.dev/skills/2233admin/reverse-skill-evolver/pwn-chain"><img src="https://agentmods.dev/badge/skills/2233admin/reverse-skill-evolver/pwn-chain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 271 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,837 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod 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 $0.00271 $0.02837
Opus 5 $0.00135 $0.01418
Sonnet 5 $0.00054 $0.00567
Haiku 4.5 $0.00027 $0.00284

Measured 9d ago against content hash c9fdccc54bde, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pwn-chain 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.

Origin

This is a copy

91% identical to pwn-chain — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/pwn-chain/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

从漏洞点到 Working Exploit (Pwn Chain)

适用范围

当任务属于以下场景时使用本 skill:

  1. 拿到二进制 + 已知漏洞点 — 静态/审计/fuzz 已经找到溢出/UAF/double free,需要从触发到拿 shell
  2. CTF 题已经本地通了,远程打不通 — 远端环境差异导致脚本失效,需要稳定化
  3. 真实目标的二进制利用 — SRC / 红队场景下,已经识别到内存损坏漏洞,需要构造 RCE
  4. Linux 内核驱动的 ioctl bug — 用户态触发,目标是提权到 root

前提:你已经知道"哪里炸了"。本 skill 不负责发现漏洞(那是 fuzzing / 审计),只负责"从漏洞点写出 exploit"。

与其他 skill 的分工

场景 用什么
识别 custom VM / anti-debug / 复杂 obfuscation reverse-engineering/
从零打开二进制做静态分析 ida-reverse/radare2/
有漏洞点,写 exploit 打通远程 本 skill
把 pwn 拿到的 shell 整合进完整攻击链 attack-chain/(下游)

reverse-engineering/ 关注"理解程序在干什么"(模式识别、协议还原、解 CTF 题里的奇怪机制);本 skill 关注"把已经看懂的漏洞变成可执行的攻击"。两者经常配套使用,但分工清晰。

核心工作流

Step 1: 确认漏洞类型 + 保护机制
   ├─ checksec ./vuln(NX / Canary / PIE / RELRO / Fortify)
   ├─ file ./vuln  + readelf -d ./vuln
   ├─ 漏洞分类:栈溢出 / 格式化字符串 / 堆 (UAF/DF/OF) / 整数 / 竞态 / 内核
   └─ → 决定走哪个 references/

Step 2: 选择利用策略
   ├─ NX 关 + 无 ASLR → 直接 shellcode
   ├─ NX 开 + 给 libc → ret2libc / one_gadget
   ├─ NX 开 + 不给 libc → leak 后 libc-database 反查
   ├─ 堆 → 按 glibc 版本对应技术 (tcache/fastbin/unsorted/large)
   └─ 内核 → commit_creds / modprobe_path / core_pattern

Step 3: 准备 libc + gadget
   ├─ libc-database:./find puts 0x6f0
   ├─ ROPgadget --binary ./libc.so.6 --only "pop|ret"
   ├─ one_gadget ./libc.so.6
   └─ 计算 base:leak_addr - libc.sym['puts']

Step 4: 写 pwntools 模板(本地 process)
   ├─ context.binary = ELF('./vuln')
   ├─ p = process('./vuln')  /  p = gdb.debug('./vuln','b *main+xx')
   ├─ payload = cyclic(N) + p64(ret) + ...
   └─ p.interactive()

Step 5: 本地通
   ├─ 反复 attach + 看寄存器 + 调 offset
   ├─ 用 pwndbg/GEF 的 vmmap / heap / bins / telescope
   └─ 跑通后切 remote()

Step 6: 远程稳定化
   ├─ libc 偏移:用 leak 反查 libc-database,不要拍脑袋
   ├─ 栈对齐:16-byte 不对齐 → movaps 崩 → 加一个 ret gadget
   ├─ 远程网络延迟 → recvuntil 精确锚字符串,禁用模糊 sleep
   ├─ 远程缓冲:sendlineafter 比 sendline 更稳
   ├─ 堆喷成功率:放大 spray 数量 + 留 padding chunk 防合并
   └─ 多次跑:写 while True 验证成功率 ≥ 95%

典型场景

Read the full file on GitHub · 178 lines

Files

What ships with it

3 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. 9d ago First seen · 178 lines · 271 tokens per session scan A c9fdccc54bde

Subscribe to this mod's changes

pwn-chain is a skill published in the GitHub repository 2233admin/reverse-skill-evolver (13 stars, last pushed 1mo ago), licensed MIT. It adds 271 tokens to every session and 2,837 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to pwn-chain, differing in 15 lines, and is treated as a copy.

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