Ctf Rev
CheckedCTF Rev automatically solves Capture The Flag challenges by reversing and analyzing code, saving time and boosting CTF performance.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add cyberkaida/reverse-engineering-assistant --skill ctf-rev -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
cyberkaida
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned cyberkaida/reverse-engineering-assistant at f603ba9833.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f603ba9833
- Manifest
- ReVa/skills/ctf-rev/SKILL.md
- Scanned
- 2 files, 1,332 lines
About this skill
What it does
This skill empowers AI agents to act as a reverse-engineering assistant specifically tailored for Capture The Flag (CTF) challenges. It helps automate the analysis of binary files, disassembly, and debugging processes common in cybersecurity competitions.
When to use it
- You need rapid assistance decoding obfuscated code or unknown binaries during a CTF event.
- Your agent must generate hypotheses about program behavior based on assembly instructions.
- You require automated suggestions for debugging strategies when standard tools fail to reveal logic.
- You want to speed up the reverse-engineering workflow by leveraging pre-trained knowledge of common CTF patterns.
Key capabilities
- Assists with binary file analysis and disassembly interpretation.
- Provides context-aware hints for solving specific CTF challenge types.
- Simulates a reverse-engineering partner to guide logical deduction steps.
Example prompts
- "Analyze this assembly snippet from a pwn challenge and explain the potential vulnerability."
- "Help me reverse-engineer this binary to find the hidden flag logic."
- "Suggest debugging strategies for this CTF crypto challenge based on the provided hex dump."
Tips & gotchas
Ensure you provide relevant context, such as the file type (e.g., ELF, PE) or specific assembly instructions, to get accurate analysis. This skill is designed for educational and competitive scenarios; it may not replace deep manual expertise for highly complex proprietary binaries.