prompt
FreeDesign production-grade cybersecurity skills for AI agents
FreeFree tier
Inputs: textOutputs: text
About prompt
The Cybersecurity Skill Architect is a specialized prompt from the ai-boost/awesome-prompts repository. It instructs an AI agent to design production-grade cybersecurity skills following the agentskills.io standard. Each skill created must map to five industry frameworks (MITRE ATT&CK, NIST CSF, MITRE ATLAS, MITRE D3FEND, NIST AI RMF), encode real practitioner workflows, and be executable with exact commands, verification steps, and decision trees. The prompt enforces a progressive disclosure architecture with YAML frontmatter for quick discovery and Markdown body for step-by-step execution, plus optional references/, scripts/, and assets/ directories.
Key Features
Designs production-grade cybersecurity skills for AI agents
Follows the agentskills.io open standard
Maps to five industry frameworks: MITRE ATT&CK v18, NIST CSF 2.0, MITRE ATLAS v5.4, MITRE D3FEND v1.3, NIST AI RMF 1.0
Encodes real practitioner workflows, not generated summaries
Progressive disclosure architecture: YAML frontmatter (~30 tokens) + Markdown body (500–2,000 tokens)
Executable skill definitions with exact commands, verification steps, and decision trees
Includes optional references/, scripts/, and assets/ directories for deep technical standards and helper tools
Pros & Cons
Pros
- Structured and standardized skill creation following an open standard
- Multi-framework alignment ensures comprehensive coverage of adversary TTPs, defenses, and risk management
- Encourages production-grade, executable workflows with concrete commands and verification
- Progressive disclosure makes skills scannable by agents and detailed for execution
- Open source and freely available in the awesome-prompts repository
Cons
- Requires familiarity with multiple cybersecurity frameworks (MITRE, NIST)
- Assumes the AI agent already has shell, file, and web tools
- May be complex for beginners not versed in cybersecurity terminology
Best For
Guiding an AI agent to create structured cybersecurity skill definitionsDeveloping forensic technique descriptions for AI executionCreating detection workflows and operational playbooksTraining AI agents to map cybersecurity skills to multiple industry frameworksStandardizing cybersecurity skill development across teams
FAQ
What frameworks are used in the Cybersecurity Skill Architect?
The prompt requires mapping to five frameworks: MITRE ATT&CK v18 (adversary TTPs), NIST CSF 2.0 (organizational security posture), MITRE ATLAS v5.4 (AI/ML adversarial threats), MITRE D3FEND v1.3 (defensive countermeasures), and NIST AI RMF 1.0 (AI risk management).
What is the standard skill structure defined by this prompt?
Each skill is a directory containing: SKILL.md (YAML frontmatter + Markdown body), references/ (standards.md and workflows.md), scripts/ (helper scripts), and assets/ (template checklists).