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Alpha-Park

PersonalAgentCredentialEntropyExposureFiduciary

by Alpha-Park

genpark-personal-agent-credential-entropy-exposure-fiduciary-skill

Tests License Python Dependencies Coverage

GenPark Personal Agent Credential Entropy Exposure Fiduciary models NIST bit entropy, GPU brute-force cracking timelines, and k-anonymity privacy hashing.

flowchart TD
    A[Credential Candidate String] --> B[NIST Character Pool & Length Analyzer]
    B --> C[Shannon Bit Entropy & Keyspace Size N^L]
    C --> D[100B Hashes/Sec GPU Cluster Cracking Time]
    E[Account Credential Mapping Log] --> F[Cross-Account Blast Radius Auditor]
    G[SHA-256 Hash Engine] --> H[K-Anonymity 5-Character Prefix Generator]
    D & F & H --> I[Sovereign Personal Identity Security Score]

Features

  • NIST Bit Entropy Scoring: Computes cryptographic keyspace and crack times against modern RTX 4090 GPU clusters.

  • Credential Reuse Blast Radius: Audits catastrophic shared-password exposure between banking and social accounts.

  • K-Anonymity Zero-Knowledge Prefixing: Safely audits breach registries without leaking credentials.

Related MCP server: GuardX

Quickstart

from client import PersonalAgentCredentialEntropyExposureFiduciary

sec = PersonalAgentCredentialEntropyExposureFiduciary()
res = sec.calculate_credential_bit_entropy_and_cracking_time("my_pass")
print("Strength:", res["cryptographic_strength"])

FastMCP Integration

python -m genpark-personal-agent-credential-entropy-exposure-fiduciary-skill.mcp_server

License

MIT

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