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/aiFabricoCom/fabrico-collections-codex --skill fabrico-review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。
正在显示 SKILL.md
| name | fabrico-review |
| description | Check the implementation against its plan and feature context. |
Invocation portability:
$fabrico-*below means the discovered entry workflow. Use the unqualified name for repository or filesystem installs and$fabrico-collections:fabrico-*for plugin installs.
Use the user’s current request as the workflow input. Expected context: [task or Jira ID, or path to the plan/research files].
Prefer the
fabrico-code-reviewersubagent. When that custom agent is available, spawn it with the user's request and referenced context and adopt its operating contract. If this workflow is already running insidefabrico-code-reviewer, perform the review locally and never spawn another reviewer. If the profile is unavailable, as in a skills-only plugin installation, perform the complete workflow in the current thread with the required skills and the same review contract. Your goal is to review the implementation against the provided implementation plan and feature context.
Make sure to review not only the code and its acceptance criteria but also consider security aspects, code quality, testing coverage, and documentation.
Before starting, load and follow these skills:
fabrico-code-reviewing - for the structured code review process covering correctness, quality, security, testing, best practices, and scalabilityfabrico-implementation-gap-analysing - to compare the implemented solution against the plan and verify completenessfabrico-technical-context-discovering - to understand project conventions and coding standards to review againstfabrico-sql-and-database-understanding - when reviewing database-related changes: schema design, migration safety, query performance, index coverage, and ORM usagefabrico-engineering-prompts - when reviewing LLM prompt code: verify prompt structure, injection defenses, delimiter separation, output format specification, anti-patterns, and optimization opportunities*.research.md and *.plan.md files to understand the task requirements and implementation plan. Ensure to review AGENTS.md files for project-specific guidelines.When it comes to updating the definition of done and acceptance criteria checklist, you can only update those by checking the box for completed items. Do not modify the text of those sections.
基于 SOC 职业分类