图 | 2007年的本溪第一纺织厂（网友@山 人 拍摄）
for input in inputs {
，详情可参考PDF资料
Identifying and removing unused GitHub Actions secrets at scale, in thousands of repositories
I want to be clear up front about two things:
，更多细节参见新收录的资料
Фото: Joakim Honkasalo / Unsplash。业内人士推荐新收录的资料作为进阶阅读
As a consequence, we receive and review dozens of external PRs every week. Each of these is both an opportunity and a potential attack vector. Back in 2025, we shared how we’ve developed an LLM-driven code review system named BewAIre that we run on both internal and external PRs to detect malicious code changes at scale. BewAIre continuously ingests GitHub events and selects security-relevant triggers such as PRs and pushes. For each change, it extracts, normalizes, and enriches the diff before submitting it to a two-stage LLM pipeline that classifies the change as benign or malicious, along with a structured rationale.