PersonalAgentCredentialEntropyExposureFiduciary
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PersonalAgentCredentialEntropyExposureFiduciaryscore the entropy and GPU crack time for this credential candidate"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-personal-agent-credential-entropy-exposure-fiduciary-skill
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_serverLicense
MIT
This server cannot be deployed
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