registration-abuse
registration-abuse is an Application security skill for AI agents, published by Q16G in the aster repository on GitHub. Skillspace rates registration-abuse D (56/100) and it passed the safety scan; the rating is based on static analysis only.
注册机制批量注册检测 — 检测注册接口是否缺少反自动化与频率限制,导致可被脚本批量创建账号;适用于开放注册、邀请注册、OAuth 注册、API 应用注册等场景。
- Grade
- D
- Quality
- 56 / 100
- Safety
- Passed
- GitHub stars
- 83
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, so go by its current files.
Our review
- Architecture
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.