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 secrets module, and password derivation utilizes hashlib.pbkdf2_hmac with 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.py script accepts user-supplied passwords via command-line arguments to demonstrate the authentication workflow.
  • Ingestion points: User-provided password string via argparse in scripts/agent.py action 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
Risk Level
SAFE
Analyzed
Sep 14, 2026, 10:24 PM