skills/mukul975/anthropic-cybersecurity-skills/implementing-zero-knowledge-proof-for-authentication/Gen Agent Trust Hub
implementing-zero-knowledge-proof-for-authentication
Pass
Audited by Gen Agent Trust Hub on Sep 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements the Schnorr identification protocol and Zero-Knowledge Password Proof (ZKPP) using established cryptographic standards such as RFC 8235.
- [SAFE]: Secure random number generation is handled via the Python
secretsmodule, and password derivation utilizeshashlib.pbkdf2_hmacwith a high iteration count (100,000), following security best practices for credential management. - [SAFE]: External references target well-known and trusted academic and technical sources including the RFC Editor, official Python Documentation, and repositories of recognized organizations like Ethereum and the Python Cryptographic Authority.
- [INDIRECT_PROMPT_INJECTION]: The
scripts/agent.pyscript accepts user-supplied passwords via command-line arguments to demonstrate the authentication workflow. - Ingestion points: User-provided password string via
argparseinscripts/agent.pyaction handlers. - Boundary markers: Input is handled as a standard string argument for internal cryptographic processing.
- Capability inventory: The script performs local file writes (
json.dump) to save a report of the protocol demonstration. - Sanitization: Password input is immediately processed through PBKDF2-HMAC-SHA256 before being converted into a numeric secret for cryptographic proofs.
Audit Metadata