code-standards
code-standards is an Agent behaviour & coding discipline skill for AI agents, published by Tencent-Hunyuan in the UniRL repository on GitHub. Skillspace rates code-standards F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
代码规范与完整开发工作流，涵盖 Python、PyTorch/深度学习、Shell 脚本、配置文件。贯穿始终的四条设计原则：易读直观、拒绝过度抽象、单一职责、命名自解释。强制三段式流程：（1）写代码前——在已有项目上开发时必须先了解项目全貌避免重复实现，然后先出 plan（思路+实现步骤）并获得用户批准才能开工；（2）写代码中——遵循命名/类型/docstring/张量操作/异常处理等规范，同时时刻守住四条设计原则；（3）写代码后——必须先补齐对应单元测试并本地跑通，再主动调用 simplify 简化新代码，最后调用 review 做审查。触发条件：用户要求写/生成/重构 Python 或 PyTorch 代码；用户要求在已有项目/代码库上开发；用户创建新模块、脚本或训练循环；用户说"按代码规范来"或引用 /code-standards。
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 818
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 72 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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