Security Expert
CheckedProvides expert security guidance, risk assessments, and incident response strategies within personnel management 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 personamanagmentlayer/pcl --skill security-expert -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
personamanagmentlayer
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 personamanagmentlayer/pcl at 79ccaa9820.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79ccaa9820
- Scanned
- 3 files, 789 lines
About this skill
What it does
This skill equips AI agents with specialized capabilities to analyze, identify, and mitigate security vulnerabilities within software systems. It enables automated scanning of codebases and infrastructure to detect potential threats before they are exploited.
When to use it
- Conducting pre-deployment security audits on new application features.
- Identifying exposed API endpoints or misconfigured cloud resources in production environments.
- Generating remediation strategies for identified SQL injection or XSS vulnerabilities.
- Assessing the security posture of third-party integrations before connecting them to internal systems.
Key capabilities
- Automated vulnerability scanning across various code languages and frameworks.
- Detection of common security flaws including buffer overflows and authentication bypasses.
- Infrastructure-as-Code (IaC) analysis for cloud security misconfigurations.
- Risk prioritization based on exploitability and potential business impact.
Example prompts
- "Scan this Python Flask application code for any SQL injection vulnerabilities and suggest fixes."
- "Analyze our AWS Terraform configuration to identify public S3 buckets with unrestricted access."
- "Generate a security checklist for deploying a new microservice architecture on Kubernetes."
Tips & gotchas
Ensure the AI agent has read-only access to the codebase or infrastructure logs being analyzed to prevent accidental modifications. This skill is designed for detection and advisory; always validate findings with manual review before applying patches to live systems.