afrexai-agent-engineeringDesign, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent arc...
Install via ClawdBot CLI:
clawdbot install 1kalin/afrexai-agent-engineeringGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf /Calls external URL not in known-safe list
https://afrexai-cto.github.io/context-packs/AI Analysis
The skill definition is a framework for designing AI agents and does not contain executable code or active data exfiltration instructions. The flagged signals are examples within configuration templates (e.g., 'rm -rf /') or references to external documentation, not active malicious commands. The primary risk is conceptual, encouraging the design of autonomous systems which, if built without proper safeguards, could be unsafe.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A solo agent designed to manage calendars, draft emails, and summarize reports for busy executives. It operates as an advisor during onboarding, gradually promoting to operator for routine tasks, ensuring high-stakes decisions remain human-approved.
A persistent multi-agent team handling customer inquiries across Slack and Discord channels. Each agent specializes in sales, support, or operations, with shared memory for consistent service and escalation protocols.
A swarm of agents orchestrating parallel research, writing, and editing for marketing campaigns. Uses a hub-and-spoke pattern with an aggregator to compile outputs, ideal for scaling content production across multiple niches.
A solo agent acting as an advisor to medical professionals, suggesting diagnoses based on patient data while requiring human approval for critical decisions. Implements strict guardrails and memory layers for compliance and accuracy.
An autopilot agent for automated trading in proven market workflows. Starts as an operator with tight bounds, graduating to autopilot after rigorous monitoring, using risk-tolerant decision styles and real-time memory updates.
Offer the agent engineering skill as a cloud-based service with tiered pricing based on autonomy levels and agent count. Revenue streams include monthly subscriptions for solo agents and enterprise plans for multi-agent teams.
Provide expert services to design, build, and deploy custom agent systems for clients. Revenue comes from project-based fees and ongoing support contracts, leveraging the skill's architecture and operational methodologies.
License the agent engineering framework to other businesses for embedding into their products. Revenue is generated through licensing fees and royalties, enabling partners to offer AI agents without in-house development.
💬 Integration Tip
Start with a solo agent in a low-risk environment to validate the architecture before scaling to multi-agent systems, ensuring guardrails are tested thoroughly.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
AI Agent 設定同優化助手 - Prompt Engineering、Task Decomposition、Agent Loop設計
Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...
Navigate and understand codebases using agentlens hierarchical documentation. Use when exploring new projects, finding modules, locating symbols in large files, finding TODOs/warnings, or understanding code structure.