alignment-review

作者: huggingface

审查代码变更中的错误,确保其符合OpenEnv原则和RFC规范。适用于审查PR、提交前检查代码,或被要求进行审查时。

npx skills add https://github.com/huggingface/openenv --skill alignment-review

Alignment Review

Review code changes for alignment with OpenEnv principles using a two-tier model.

Instructions

  1. Run automated checks first:

    • Execute bash .claude/hooks/lint.sh - capture lint issues
    • Execute bash .claude/hooks/check-debug.sh - capture debug code
  2. Read alignment documents:

    • .claude/docs/PRINCIPLES.md - design principles
    • .claude/docs/INVARIANTS.md - system invariants
  3. Read open RFCs:

    • Scan rfcs/ directory for all RFC files
    • Note the status of each RFC (Draft, In Review, Accepted, Implemented)
    • Pay special attention to Draft and In Review RFCs - these represent active design discussions
  4. Analyze changes (use git diff or provided diff):

    • Identify mechanical issues (Tier 1)
    • Flag alignment concerns (Tier 2)
    • Flag conflicts with open RFCs (Tier 2)

Tier 1: Uncontentious Issues (Fix Immediately)

These are issues to fix without human input:

  • Lint failures from hook output
  • Debug code from hook output (print statements, breakpoints)
  • Uninitialized variables, type errors
  • Missing imports, syntax errors
  • Security issues (credential exposure, injection vulnerabilities)

Tier 2: Alignment Discussion Points

For each potential alignment concern, format as:

**ALIGNMENT FLAG**: [Brief description]
- **Principle/RFC at stake**: [Which principle from PRINCIPLES.md or RFC number]
- **The concern**: [What seems misaligned or in conflict]
- **Suggested reviewer**: @darktex [pull actual reviewers based on authors of the specific line of PRINCIPLES.md and INVARIANTS.md using git blame, and/or authors of conflicting RFCs]

Examples of Tier 2 Issues

Principle conflicts:

  • Adding external reward computation (violates "rewards in environment")
  • Client importing server code (violates client-server separation)
  • New API that differs from Gymnasium pattern

RFC conflicts (flag even for Draft/In Review RFCs):

  • Change conflicts with design proposed in an open RFC
  • Change pre-empts a decision being discussed in an RFC
  • Change implements something differently than an RFC proposes
  • Change affects an area covered by an RFC under review

Why flag RFC conflicts? Even if an RFC isn't finalized, flagging conflicts helps focus design discussions. The change might be correct and the RFC might need updating, or vice versa - either way, the team should discuss.

Output Format

## Alignment Review Report

### Automated Checks
- Lint: [PASS/FAIL] - [summary]
- Debug code: [CLEAN/FOUND] - [details]

### Open RFCs Context
[List any RFCs in Draft or In Review status that might be relevant to these changes]

### Tier 1: Fixes Required
- [ ] path/file.py:123 - [issue description]
- [ ] path/file.py:456 - [issue description]

### Tier 2: Alignment Discussion

#### Principle Conflicts
[ALIGNMENT FLAGS for principle violations, or "None identified"]

#### RFC Conflicts
[ALIGNMENT FLAGS for RFC conflicts, or "None identified"]

### Summary
- X mechanical issues to fix
- Y alignment points for human review
- Z RFC conflicts to discuss

来自 huggingface 的更多技能

sync-models
huggingface
将chat-ui的模型配置与HuggingFace路由器同步——为新模型添加描述,标记支持推理的模型,为32B及以上的模型启用artifacts……
custom-blocks
huggingface
Use when the user has written (or wants to write) a `ModularPipelineBlocks` subclass in a local Python file and needs to package it into a Hub-uploadable…
self-review
huggingface
Use before opening a PR, or whenever asked to self-review a diffusers contribution. Applies the same rubric as the `@claude` CI (checks the diff against…
hf-cloud-sagemaker-production-defaults
huggingface
创建一个SageMaker端点(实时或异步),默认启用自动扩缩、CloudWatch告警和标签功能。每当要创建…时,使用此技能。
hf-cloud-serving-image-selection
huggingface
为SageMaker模型部署选择合适的服务容器,并查找其当前镜像URI。在即将部署模型到……时使用此技能。
Hugging Face Cli
huggingface
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
Hugging Face Datasets
huggingface
在 Hugging Face Hub 上创建和管理数据集。支持初始化仓库、定义配置/系统提示、流式更新行数据,以及基于 SQL 的数据集查询与转换。设计为与 HF MCP 服务器协同工作,实现完整的数据集工作流。
Hugging Face Evaluation
huggingface
在Hugging Face模型卡片中添加和管理评估结果。支持从README内容中提取评估表格、从Artificial Analysis API导入分数,以及使用vLLM/lighteval运行自定义模型评估。兼容model-index元数据格式。