sibyl-codex-reviewer

SkillAI & models

Independent third-party review via Sibyl Codex - uses OpenAI Codex to provide review from a different AI perspective

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the sibyl-codex-reviewer skill

What this skill tells your AI

The instructions your AI receives, as published by sibyl-research-team/autoresearch-sibylsystem in .claude/skills/sibyl-codex-reviewer/SKILL.md and read by ahel’s review.

!SIBYL_WORKSPACE="$ARGUMENTS[0]" .venv/bin/python3 -c "from sibyl.orchestrate import render_skill_prompt; import os; ws = os.environ.get('SIBYL_WORKSPACE', ''); print(render_skill_prompt('codex_reviewer', workspace_path=ws))"

AGENT_NAME: sibyl-codex-reviewer AGENT_TIER: sibyl-light SIBYL_ROOT: /Users/cwan0785/sibyl-system

Workspace path: $ARGUMENTS[0] MODE: $ARGUMENTS[1] Codex model override: $ARGUMENTS[2] (optional)

Codex MCP 调用规范

每次调用 mcp__codex__codex 时:

  • 若提供了 Codex model override,则显式传 model: $ARGUMENTS[2]
  • 若未提供,则不要传 model 参数,使用 Codex MCP 默认模型
  • 设置 approval-policy: "never" 以实现自动化执行

Signals

GitHub stars
281
Forks
38
Last commit
Mar 2026
Advanced
Item type
skill
Key
sibyl-codex-reviewer
Source
github.com/sibyl-research-team/autoresearch-sibylsystem