Plugins
3 pluginscurated
MCP Security Audit Pipeline
Audit MCP servers for secrets exposure, shell injection, and supply chain risks.
12 skills · plugin
@dotnet
Dotnet Maui
Skills for .NET MAUI development: environment setup, diagnostics, troubleshooting, navigation, data binding, dependency injection, layout, and theming.
8 skills · plugin
@samyakjhaveri
Sam Superpowers
Fork of obra/superpowers 5.0.7: the 14 core skills (TDD, debugging, collaboration patterns) with the mandatory-gate SessionStart injection replaced by a short judgment-based router. Skills are tools, not gates.
14 skills · plugin
Results for “injection”
12 skills
mukul975 Detecting Indirect Prompt Injection
Detect and defend against prompt injection hidden in documents, web pages, and images consumed by an agent.
24.6k · bundle
mukul975 Detecting AI Model Prompt Injection Attacks
Detects prompt injection attacks targeting LLM-based applications using regex pattern matching, heuristic scoring, and DeBERTa transformer classification.
24.6k · bundle
alirezarezvani AI Security
Assess AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, and agent tool abuse, with MITRE ATLAS mapping and guardrail recommendations.
20.4k · bundle
mukul975 Defending Llms With Guardrails
Deploy Llama Guard, NeMo Guardrails, and LLM Guard as runtime input/output scanners to block jailbreaks, prompt injection, and toxic content in production LLM applications.
24.6k · bundle
zhaoxuya520 LLM Security
Conduct authorized security assessments of LLM applications and AI agents, covering prompt injection, tool abuse, RAG exposure, memory poisoning, and model supply-chain risks.
12.8k · bundle
More results
orchestra-research Prompt Guard
Detect prompt injections and jailbreak attempts in LLM applications using Meta's 86M parameter classifier. Filter user inputs, third-party data, and RAG documents with low latency and multilingual support.
10.4k
mukul975 Implementing LLM Guardrails For Security
Builds input and output validation guardrails for LLM-powered applications to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs using NeMo Guardrails, Presidio, and Guardrails AI.
24.6k · bundle
mukul975 Continuous LLM Red Teaming With Promptfoo
Wire Promptfoo and DeepTeam into CI/CD for automated regression red-teaming of LLM apps against OWASP LLM Top 10 and OWASP Agentic presets, failing the build when jailbreak or injection vulnerabilities regress.
24.6k · bundle
lord1egypt Godmode
Bypasses safety filters on API-served LLMs using jailbreak templates, input obfuscation, and multi-model racing.
2
github AI Prompt Engineering Safety Review
Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness, providing detailed improvement recommendations with frameworks, testing methodologies, and educational content.
36.2k
mukul975 Testing For System Prompt Leakage
Test LLM applications for system prompt leakage using manual payloads, garak, and Promptfoo to extract embedded secrets and routing logic.
24.6k · bundle
antigravity Recallmax
Injects up to 1 million tokens of external context into AI agent memory, auto-summarizes conversations with tone and intent preservation, and compresses multi-turn history into dense token sequences.
42.4k