foundations-information-theory
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [NO_CODE]: The skill package is composed entirely of markdown documentation, theoretical playbooks, and a JSON library of research citations. It does not include any Python scripts, JavaScript files, shell scripts, or binaries.
- [SAFE]: There is no evidence of command execution, privileged access, or persistence mechanisms. The skill defines analytical workflows for quantifying information but does not automate any system-level operations.
- [SAFE]: All external references point to reputable academic publishers (Wiley, MIT Press, IEEE, JSTOR), research archives (arXiv), and public university or researcher-maintained code repositories (e.g., GitHub links for f-DIME and NIB research implementations). No obfuscated URLs, homoglyphs, or typosquatted domains were detected.
- [SAFE]: The documentation does not contain any prompt injection patterns or attempts to bypass AI safety constraints. It remains focused on providing domain-specific technical foundations.
Audit Metadata