Architecting Security
CheckedDesigns robust, layered security architectures incorporating best practices and mitigating potential vulnerabilities based on provided context.
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 ancoleman/ai-design-components --skill architecting-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
ancoleman
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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 ancoleman/ai-design-components at 76551b7b19.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 76551b7b19
- Scanned
- 22 files, 11,118 lines
About this skill
What it does
This skill enables AI agents to design and recommend security architectures for systems. It can analyze requirements, identify potential threats, and propose solutions involving various components like firewalls, intrusion detection systems, and access controls. The agent can also generate documentation outlining the rationale behind architectural decisions.
When to use it
- New Project Onboarding: When starting a new software project, leverage this skill to define a secure architecture from the outset.
- Security Audit Remediation: Use it to translate findings from security audits into actionable architectural changes.
- Cloud Migration Planning: Design secure cloud environments by outlining necessary security controls and configurations.
- Risk Assessment & Mitigation: Generate architectures tailored to mitigate specific identified risks within a system or environment.
Key capabilities
- Threat modeling
- Security component selection (firewalls, IDS/IPS)
- Access control design
- Architecture documentation generation
- Requirement analysis for security needs
Example prompts
- "Design a secure architecture for an e-commerce website handling sensitive customer data."
- "Recommend security controls for migrating a legacy application to AWS."
- "Outline the key components of a zero-trust network architecture."
Tips & gotchas
The agent's output is dependent on clear and specific requirements. Providing detailed context about the system, its environment, and potential threats will improve the quality of the generated architectures.