Security Best Practices
CheckedHelps with security, best practices as part of implementing security and authentication 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 mindrally/skills --skill security-best-practices -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
mindrally
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 mindrally/skills at 7682ca7771.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7682ca7771
- Manifest
- security-best-practices/SKILL.md
- Scanned
- 1 file, 108 lines
About this skill
What it does
This skill equips AI agents with foundational knowledge to identify, evaluate, and mitigate common cybersecurity threats. It enables agents to analyze system vulnerabilities, recommend secure configurations, and enforce protection strategies against attacks like phishing or malware.
When to use it
- Auditing an application's security posture before deployment.
- Generating incident response plans for suspected data breaches.
- Advising on the implementation of multi-factor authentication (MFA).
- Reviewing code repositories for potential injection flaws.
Key capabilities
- Threat modeling and risk assessment frameworks.
- Identification of OWASP Top 10 vulnerabilities.
- Recommendations for encryption standards and key management.
- Guidance on secure network architecture and firewall rules.
- Best practices for access control and identity management.
Example prompts
- "Analyze this Python script and list any potential SQL injection vulnerabilities."
- "Create a checklist for securing a new cloud-based SaaS platform against DDoS attacks."
- "Explain how to implement zero-trust architecture for a remote workforce."
Tips & gotchas
Ensure the AI agent has access to up-to-date threat intelligence feeds, as security practices evolve rapidly. While this skill provides strong theoretical guidance, it should be validated by human security experts for critical infrastructure decisions.