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The codex-claude-code-config MCP server was last committed 1mo ago and has 3 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

codex-claude-code-config MCP Server

Name: AnastasiyaW/codex-claude-code-config
Rating: 3.9 (1 reviews)
Author: AnastasiyaW

AnastasiyaW/codex-claude-code-config

Score: 71.9 Rank #3706 Agent Framework

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Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

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Overview

AnastasiyaW/codex-claude-code-config is a Python tool licensed under MIT. Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development Topics: ai-agents, claude, claude-code, llm, machine-learning, prompt-engineering, skills, mcp, agent-harness, harness, wiring.

Ranked #3706 out of 24846 indexed tools.

Ecosystem

Python MIT

ai-agentsclaudeclaude-codellmmachine-learningprompt-engineeringskillsmcpagent-harnessharnesswiring

Score Breakdown

Stars 15% 155

155 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 50%

1/2 issues closed → decent issue management

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 25

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 155
Forks: 25
Open Issues: 1
Closed Issues: 1
Contributors: 3
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# Claude Code + Codex Agent Configuration System

A practical configuration kit for Claude Code, Codex, and other coding agents. It contains architectural principles, enforcement hooks, skills, drop-in rules, starter templates, and dynamic-workflow commands. Drop the relevant parts into a project so the agent starts from verified working patterns instead of rediscovering them every session.

This is not a collection of tips. It is a **system** that teaches your agent *how to work* - when to use one agent vs many, how to verify its own output, how to manage context across long sessions, how to not get poisoned by malicious packages.

## Notes

Write-ups of the incidents that produced a rule or a hook here. Each states what was measured,
what is inference, and what the fix does not cover.

| | |
|---|---|
| **[Starting from what you remember](docs/starting-from-what-you-remember.md)** | Why a brand-new project arrives years out of date, why an invented package name is now a security prob

Read full README on GitHub →