🛡️
Quality

RCE Vulnerability Detection

by utkusen

RCE Vulnerability Detection is a Quality skill for Claude Code, published by utkusen in sast-skills.

1.3K stars61 forkson utkusen/sast-skillsAdded 2026/07/20Repository updated 2026/04/08
ai-securityclaudeclaude-codesast
Install in seconds
Install RCE Vulnerability Detection
Copy RCE Vulnerability Detection into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/utkusen/sast-skills/tree/main/sast-files/.agents/skills/sast-rce ~/.claude/skills/sast-rce

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/utkusen/sast-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
sast-files/.agents/skills/sast-rce/SKILL.md in utkusen/sast-skills
Installs to
~/.claude/skills/sast-rce
Collection
One of 17 skills cataloged from this repository
Category
Quality1897 skills

What RCE Vulnerability Detection does

Detects remote code execution vulnerabilities (command injection, eval injection, unsafe deserialization) by finding dangerous sinks and tracing user input with parallel subagents. Use when auditing code for critical injection flaws.

RCE Vulnerability Detection is cataloged under Quality on DirSkills. RCE Vulnerability Detection comes from a repository tagged ai-security, claude, claude-code and sast.

Documentation

README

Remote Code Execution (RCE) Detection

You are performing a focused security assessment to find Remote Code Execution vulnerabilities in a codebase. This skill uses a three-phase approach with subagents: recon (find dangerous execution sinks), batched verify (trace whether user-supplied input reaches each sink in parallel batches of 3), and merge (consolidate batch results into the final report).

Prerequisites: sast/architecture.md must exist. Run the analysis skill first if it doesn't.


What is Remote Code Execution

This is the opening of the README. Read the full README on GitHub.

Frequently asked about RCE Vulnerability Detection

  • What else does utkusen publish alongside RCE Vulnerability Detection?

    RCE Vulnerability Detection is one of 17 skills that DirSkills catalogs from utkusen/sast-skills, the repository it ships in. Its siblings there include Business Logic Vulnerability Detection, Cross-Site Scripting Detection and GraphQL Injection Detection. Each one is a separate skill with its own page in this directory, installs the same way RCE Vulnerability Detection does, and is maintained by utkusen in that same repository. The rest of the collection is listed on the utkusen/sast-skills page.

  • How does RCE Vulnerability Detection compare to other Quality skills?

    RCE Vulnerability Detection ranks #720 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of RCE Vulnerability Detection against them. Open each page to compare what they document and how they install.

More from utkusen/sast-skills

RCE Vulnerability Detection is one of 17 skills cataloged on DirSkills from utkusen/sast-skills.

See all 17 skills
🔍
2026/07/20

Business Logic Vulnerability Detection

Detects business logic vulnerabilities in codebases using a three-phase approach combining threat modeling, parallel verification of attack scenarios, and result merging. Use when finding logic flaws, workflow bypasses, or abuse-of-function bugs.
Quality
1.3K61
🔍
2026/07/20

Cross-Site Scripting Detection

Detect Cross-Site Scripting vulnerabilities in codebases via a three-phase SAST approach: recon, batched verification with subagents, and merge. Use when analyzing web application source code for XSS bugs.
Quality
1.3K61
🔍
2026/07/20

GraphQL Injection Detection

Detect GraphQL injection vulnerabilities by tracing user input to unsafe operation document assembly sites. Use for security audits and code reviews of GraphQL APIs.
Quality
1.3K61
🔑
2026/07/20

Hardcoded Secrets

Detects hardcoded sensitive data (API keys, tokens, passwords) in publicly accessible code like frontend JavaScript, mobile apps, and HTML templates. Uses recon, verify, and merge phases. Requires architecture analysis first.
Quality
1.3K61
🔒
2026/07/14

IDOR Detection

Detect IDOR vulnerabilities by identifying endpoints lacking ownership checks, using automated recon, parallel batch verification, and merge. Ideal for code security audits targeting authorization bypass.
Quality
1.3K61
🛡️
2026/07/20

Insecure File Upload Detection

Detect insecure file upload vulnerabilities in a codebase using a three-phase approach: discovery, batched verify, and merge. Use when asked to find file upload, unrestricted upload, or extension bypass bugs.
Quality
1.3K61