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Agent skills aren’t just prompts wrapped around automation. The best ones come from a deep understanding of the problem and the technology behind it.
Prompting gets you started. Domain knowledge makes the skill reliable.
#AI#AgenticAI#LLMs#AIEngineering#Evals#BuildInPublic
Your LLM app needs a red-team pass before users do it for you.
ZeroLeaks is an autonomous AI security scanner for testing LLM systems against prompt injection and system prompt extraction risks.
It helps you find weak spots by simulating attack techniques against a target prompt, then returning scan results with vulnerability level, score, findings, extracted fragments, recommendations, and a conversation log.
Key features:
• Multi-agent scanner – uses strategist, attacker, evaluator, mutator, inspector, and orchestrator agents
• Tree of Attacks – explores attack vectors systematically with pruning instead of one-off prompts
• Modern attack techniques – includes Crescendo, Many-Shot, Chain-of-Thought Hijacking, Policy Puppetry, Siren, and Echo Chamber
• Dual scan modes – tests both system prompt extraction and prompt injection paths
• Code + CLI usage – run scans through the TypeScript API or the zeroleaks CLI with configurable attacker, target, and evaluator models
It’s public on GitHub under the FSL-1.1-Apache-2.0 license.
Link in the reply 👇
Learning DSA by patterns?
This is the best sheet to follow:
https://t.co/g7KJ4HYlvN
It includes detailed theory for each pattern along with plenty of questions to strengthen your pattern recognition skills.
#DSA#100DaysOfCode#TechInterviews
Studying AI agent evals.
Even a single task with 5–10 trials exhausts my token budget, despite testing simple skills like raising exceptions.
Any tips for optimizing token usage during evals?
#agents#AI#evals#openai#claude