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

![Tests](https://img.shields.io/badge/tests-passing-brightgreen)
![License](https://img.shields.io/badge/license-MIT-blue)
![Python](https://img.shields.io/badge/python-3.10%2B-blue)
![Dependencies](https://img.shields.io/badge/dependencies-zero-success)
![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen)

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

```mermaid
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.

## Quickstart

```python
from client import PersonalAgentCredentialEntropyExposureFiduciary

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

## FastMCP Integration

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

## License
MIT