Deep Analysis
CheckedCyberkaida's deep-analysis uncovers hidden patterns and subtle anomalies in data sets, revealing critical insights others miss.
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 deep-analysis -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
- Scanned
- 3 files, 1,837 lines
About this skill
deep-analysis
What it does
This skill enables AI agents to perform comprehensive reverse engineering tasks, specifically designed for analyzing compiled binaries and understanding complex code structures. It provides the necessary tools to deconstruct software artifacts into readable components for deeper inspection.
When to use it
- You need to inspect the internal logic of a compiled executable without access to the original source code.
- You are debugging a binary application where standard logging or breakpoints are unavailable.
- You require an automated approach to map out function call graphs and data flow within a program.
- You want to identify potential vulnerabilities hidden within obfuscated machine code.
Key capabilities
- Automated reverse engineering of compiled binaries.
- Extraction and analysis of function definitions and call chains.
- Decoding of obfuscated or encrypted code segments.
- Generation of readable summaries from low-level assembly data.
Example prompts
- "Run a deep-analysis on this binary file to extract the main entry point and list all exported functions."
- "Analyze the provided executable to identify any hardcoded API keys or sensitive configuration strings."
- "Perform a reverse-engineering pass on this library to map out the data structures used for user authentication."
Tips & gotchas
Ensure you have legal rights to analyze the target binary, as reverse engineering may violate software license agreements. This skill is most effective when combined with other tools that can handle disassembly output formatting or vulnerability scanning.