materialofair
materialofair/oh-my-codex
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/materialofair/oh-my-codex --skill eval命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
三阶段专利撰写workflow（Research → Plan → Implement），借鉴AutoPatent架构，通过 Codex CLI 原生 spawn_agent 派发 explorer/reviewer child agent 协作，确保专利质量和授权率；也用于整理或优化已有 DOCX 专利交底书、保留图片和版式资源并生成新版 Word 文档
Analyze raw prompts, identify intent and gaps, inventory the current oh-my-codex skill catalog across local/upstream sources, choose the best-fit skill chain, and output a ready-to-paste optimized prompt for Codex. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
Tests Codex skill functionality with TDD approach, verifying skills work correctly through automated test scenarios and validation
基于 SOC 职业分类
正在显示 SKILL.md
| name | eval |
| description | Imported from everything-codex command eval |
| version | 0.1.0 |
| source | fork |
| checksum | 4b972e52eccdbc959cea78561d453cf1758817985b7b783b043c396417693052 |
| updated_at | 2026-02-11T01:29:16.000Z |
| layer | quality |
Codex supports native subagents. Delegate with spawn_agent, coordinate with send_input, collect via wait_agent, and clean up with close_agent.
Execution preference:
[ANALYST]/[ARCHITECT]/[EXECUTOR]/[REVIEWER] structure in a single response.Minimal orchestration pattern:
spawn_agent -> send_input (optional) -> wait_agent -> close_agent
Manage eval-driven development workflow.
$eval [define|check|report|list] [feature-name]
$eval define feature-name
Create a new eval definition:
.codex/evals/feature-name.md with template:## EVAL: feature-name
Created: $(date)
### Capability Evals
- [ ] [Description of capability 1]
- [ ] [Description of capability 2]
### Regression Evals
- [ ] [Existing behavior 1 still works]
- [ ] [Existing behavior 2 still works]
### Success Criteria
- pass@3 > 90% for capability evals
- pass^3 = 100% for regression evals
$eval check feature-name
Run evals for a feature:
.codex/evals/feature-name.md.codex/evals/feature-name.logEVAL CHECK: feature-name
========================
Capability: X/Y passing
Regression: X/Y passing
Status: IN PROGRESS / READY
$eval report feature-name
Generate comprehensive eval report:
EVAL REPORT: feature-name
=========================
Generated: $(date)
CAPABILITY EVALS
----------------
[eval-1]: PASS (pass@1)
[eval-2]: PASS (pass@2) - required retry
[eval-3]: FAIL - see notes
REGRESSION EVALS
----------------
[test-1]: PASS
[test-2]: PASS
[test-3]: PASS
METRICS
-------
Capability pass@1: 67%
Capability pass@3: 100%
Regression pass^3: 100%
NOTES
-----
[Any issues, edge cases, or observations]
RECOMMENDATION
--------------
[SHIP / NEEDS WORK / BLOCKED]
$eval list
Show all eval definitions:
EVAL DEFINITIONS
================
feature-auth [3/5 passing] IN PROGRESS
feature-search [5/5 passing] READY
feature-export [0/4 passing] NOT STARTED
$ARGUMENTS:
define <name> - Create new eval definitioncheck <name> - Run and check evalsreport <name> - Generate full reportlist - Show all evalsclean - Remove old eval logs (keeps last 10 runs)