llm-red-team
llm-red-team is a Penetration testing & red team skill for AI agents, published by brucesongs in the kali-claw repository on GitHub. Skillspace rates llm-red-team F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
LLM and generative AI red team testing covering prompt injection, jailbreaking (DAN, many-shot, Crescendo, PAIR/TAP, GCG suffix, persona modulation, prefix injection, payload smuggling), model extraction, RAG poisoning, agentic tool abuse, and safety policy bypass using promptfoo, garak, PyRIT, PurpleLlama, AI-Infra-Guard and llm-guard — plus Constitutional AI, Llama Guard, NeMo Guardrails, and Azure AI Content Filter evasion.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 39
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- prompt-injection: ignore-previous
- exfiltration language
- references sensitive credential env
- accesses sensitive system files
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.