GEPA

Promptfoo is an AI application security and evaluation platform for testing prompts, RAG systems, agents, models, and guardrails. It can run evaluation tests with LLM-judge scoring against defined criteria and verify citations against source documents; in the described payment-rules assistant, it was used to assess answer quality and investigate apparent regressions against the underlying evidence. Its security workflows simulate context-aware attacks, including prompt injection, jailbreaks, data leaks, business-rule violations, insecure agent tool use, and toxic-content generation, and can run in development and CI/CD workflows. Promptfoo also provides automated red teaming, code scanning, MCP security testing, remediation guidance, and continuous monitoring, with integrations for AI applications, agent frameworks, CI/CD systems, and on-premises or cloud deployments.

DSPy is a framework for defining language-model program contracts—inputs, output schemas, and scoring functions—so prompt and instruction optimization becomes a search problem. In the described workflow, it searches for shorter instructions while preserving the application's interface and evaluation contract, with candidate changes checked through repeated model runs, shadow evaluation, and human review of disagreements.

System Prompts Leaks is an open reference archive of extracted AI system prompts, stored as Markdown files and organized by vendor. It collects prompts captured from chat assistants and coding agents—including Anthropic Claude, OpenAI ChatGPT and Codex, Google Gemini, xAI Grok, Cursor, Copilot, VS Code, and Perplexity—as well as officially published prompts for comparison. The repository is updated regularly and is intended for developers and researchers studying the hidden instructions and rules supplied to AI systems before user messages.

A Notion template created by Jeff Su that collects 15 reusable AI prompts for writing, research, ideation, and analysis. Each entry includes the prompt text, usage instructions, and a video walkthrough with examples; the template notes compatibility with ChatGPT, Claude, and Gemini and is distributed via the Notion Marketplace.

Autoprompt is a coding-agent skill and CLI that turns a development goal into a managed loop of scoping, implementation, testing, review, repair, and verification. It coordinates coding agents with configurable concurrency and model routing, and supports installation into several coding-agent environments, including Claude Code, Codex, OpenCode, Kilo Code, and VS Code. The repository reports an OpenCode comparison in which Autoprompt reduced failures from 29 of 89 tasks to 16, or 45% fewer failures, with an expected trade-off of roughly three times the execution time and twice the token use. It requires Node.js 20+, Python 3.11+ with PyYAML, and Bash 4.3+ on macOS or Linux.