scientific-reinforcement-learning

Pass

Audited by Socket on Jun 17, 2026

Checks

Malicious behaviorInjection, exfiltration, untrusted installs

Security concernsCredential exposure, tool/trust exploitation

Code obfuscationHidden or obfuscated code

Suspicious patternsReconnaissance, excessive autonomy, resource use

Audit Metadata

Analyzed At

Jun 17, 2026, 06:10 PM

Package URL

pkg:socket/skills-sh/nahisaho%2Fsatori%2Fscientific-reinforcement-learning%2F@a8b6126b3b47c1cfb6988f4d783a4dd983e1e7d99266fe7e60be54606a874d00