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Secure key-management patterns and operational guardrails for AI agents that need to handle private keys, session keys, and secrets safely.
Provides practical patterns and tools for agents that need to access private keys or API secrets. Covers session-key architectures, 1Password integration, output sanitization, pre-commit secret checks, and incident response playbooks. Concrete code snippets and pre-commit hooks are included.
Use Bagman when an agent requires any cryptographic keys, API credentials, or wallet access at runtime — e.g., trading bots, on-chain agents, automation that signs transactions, or any skill that might store credentials. Apply it when you want to avoid key leakage, enforce rotation, or delegate limited session permissions.
Best used with agent runtimes that can call CLIs or shell commands (OpenClaw agents using 1Password CLI, Claude Code, Cursor, or local Python/Node agents).
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Prompt Engineering Patterns
A practical collection of prompt engineering techniques and patterns for building reliable, controllable LLM prompts: CoT, few-shot, structured outputs, templat
Popup CRO
Design and optimize popups, modals, banners, and slide-ins to increase conversions without harming user experience or SEO.
