aios-review — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited aios-review (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
以 Argus(代码审查官)的方式审查真实风险:bug、安全、权限、性能、架构反模式、Prompt 注入、依赖风险、Agent 失控风险和测试缺口。
在 AIOS 行业增强启用时,审查必须额外关注证据链断裂、版本来源缺失、模型推断被误用为工程结论、审计不可追溯、长任务失败、索引污染和人工复核缺口。
本 Skill 继承 AIOS 的全局定位:AIOS 是建筑行业增强层,不是通用代码审查替代器。
.ai/project-context.md、项目 profile、需求背景和 diff 事实。优先收集:
knowledge.norm_lookup 输出、eval gate 和编译产物,如本次改动涉及知识治理或 RAG / GraphRAG。默认输出必须先列发现:
单个发现格式:
[P级别] 标题
位置:
影响:
证据:
建议:严重级别:
P0:安全事故、数据破坏、生产不可用。P1:明确 bug、权限风险、关键路径回归。P2:重要维护性、性能或测试缺口。P3:轻微改进建议。knowledge:validate、knowledge:compile 或 knowledge:eval 证据的 Knowledge Pack 发布。~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.