agents-best-practices MCP Server
DenisSergeevitch/agents-best-practices
[](https://agentrank-ai.com/tool/DenisSergeevitch--agents-best-practices/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
DenisSergeevitch/agents-best-practices is a tool licensed under MIT. Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design. Topics: agent-skills, agentic-workflows, ai-agents, codex, mcp, prompt-engineering, agents, codex-skill, agent-skill, anthropic, claude, claude-code.
Ranked #5225 out of 24846 indexed tools.
Has 2,378 GitHub stars.
Ecosystem
Score Breakdown
2,378 stars → well-known project
Last commit 1mo ago → moderate activity
2/9 issues closed → many open issues
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<div align="center"> # agents-best-practices > *"The model proposes actions; the harness validates, authorizes, executes, records, and returns observations."* <br> **A provider-neutral Agent Skill for designing, generating MVP blueprints for, auditing, refactoring, and explaining agentic harnesses.** It applies beyond coding agents: research, support, operations, sales, finance, data analysis, procurement, legal workflows, healthcare workflows, education, and workflow automation agents all need the same core runtime discipline. <br> **Install** - pick one: </div> **A. With [`skills`](https://github.com/vercel-labs/skills) (any compatible agent):** ```bash npx skills add DenisSergeevitch/agents-best-practices -g ``` The `-g` flag installs globally at user level so every project can discover it. **B. Or paste this prompt to your AI agent:** ```text Install the agents-best-practices skill for me: 1. Clone https://github.com/DenisSergeevitch/agents-best-practices into my uRead full README on GitHub →
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