Pwntools Exploitation Skill
Exploit development automation using pwntools framework
npx skills add a5c-ai/babysitter --skill pwntools-exploit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Pwntools Exploitation Skill ## Overview This skill provides exploit development automation capabilities using the pwntools framework for binary exploitation. ## Capabilities - Generate pwntools exploit templates - Build ROP chains using ROPgadget - Create shellcode with pwntools shellcraft - Manage exploit process I/O (tubes) - Handle remote and local exploitation - Parse ELF binaries for gadgets - Generate payload encoders - Debug exploits with GDB integration ## Target Processes - exploit-development.js - shellcode-development.js - capture-the-flag-challenges.js - network-penetration-testing.js ## Dependencies - pwntools (Python library) - ROPgadget - GDB with pwndbg or gef - Python 3.x - binutils (objdump, readelf) ## Usage Context This skill is essential for: - Binary exploitation development - CTF challenge solving (pwn category) - Proof-of-concept exploit creation - ROP chain construction - Shellcode development and testing ## Integration Notes - Supports both local and remote exploitation - Integrates with GDB for debugging - Can generate standalone exploit scripts - Supports various architectures (x86, x64, ARM) - Includes payload encoding for filter bypass
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Integration Notes
What does the Pwntools Exploitation Skill skill do?
Exploit development automation using pwntools framework
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill pwntools-exploit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.