Task skills
Claude-Red
Choose focused security-testing skills for authorized assessments, training and clear technical reports.
What is Claude-Red?
Prepared by LessAI Tools from public project documentation
Claude-Red is a collection of security-testing instructions for the Claude skills system. It groups skills by assessment area and includes guidance for reporting findings.
It is aimed at security practitioners and controlled learning environments, rather than ordinary code cleanup. Choose the relevant skills and define the test scope before use.
Claude-Red setup documentation
What you need
- Use a compatible Claude skills environment and follow the official installation guide for the selected skills.
- Prepare an explicitly authorized assessment scope or a controlled training lab. Individual workflows may require additional tools and access.
Limitations and costs
- The repository provides instructions, not a universal one-click scanner. Results depend on the assistant, tools and test environment.
- Security-testing workflows can affect systems. This site has reviewed public documentation and has not executed the library.
Based on public documentation; not individually installed and tested here.
Claude-Red use cases
- Select skills by area, including web applications, APIs, cloud environments and AI security.
- Load the relevant skill instructions for the current assessment instead of the entire library.
- Organize findings, supporting evidence, remediation advice and retest records.
Official project & documentation
The project’s original description
claude-red is a curated library of offensive security skills designed for the Claude skills system. Each skill is a structured SKILL.md file that primes Claude with expert-level methodology for a specific attack surface — from SQLi to shellcode, EDR evasion to exploit development.
Alternatives to Claude-Red for similar tasks
Matches the main use case first, then shared tasks and stars. Setup methods may differ.
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- AI Evals Skills — Find recurring errors in AI outputs and build reviewable evaluations.