red-team
SolidAttacker's-eye test of LLM/agent defenses: instruction hijacking, data exfiltration and tool abuse through untrusted content; verifies whether the defense actually holds.
Install
Quality Score: 81/100
Skill Content
Details
- Author
- byerlikaya
- Repository
- byerlikaya/claude-starter-kit
- Created
- 1 months ago
- Last Updated
- yesterday
- Language
- Shell
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
red-team-llm-app
Use this to adversarially test an LLM/agent app before attackers do - prompt injection, jailbreaks, data exfiltration, tool misuse, and unsafe output. Trigger on "red team my LLM", "test for prompt injection", "is my agent secure", "jailbreak testing", "security review of my AI app", especially before shipping anything customer-facing or with tools/data access. Test systematically against the known attack classes, not ad-hoc.
redteam-an-agent
The end-to-end methodology for red-teaming a specific AI agent — adaptively, exploit-validated, and honestly. Read THIS target's own code, stand up a disposable harness, and prove or refute each weakness through a real attacker-reachable entry point. This is the orchestration + discipline that makes a finding credible, not a list of payloads. Authorized testing of agents you own or are permitted to test.
llm-red-team
Systematic LLM red-teaming across the OWASP LLM Top 10 (2025). Use when assessing an LLM app, chatbot, RAG pipeline, or agent for prompt injection, data leakage, output-handling flaws, excessive agency, or unbounded consumption, and when producing a structured, evidence-backed red-team report.