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genpark-agent-synthetic-data-differential-privacy-guard-skill

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to apply differential privacy epsilon-noise generation and quasi-identifier redaction to tabular data releases, helping prevent re-identification during data sharing and synthetic data workflows.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables autonomous agents to enforce financial guardrails by tracking real-time token burn and cost velocity, automatically throttling or freezing execution when budgets are exceeded. It also blocks destructive shell commands, prompt injections, and runaway planning loops while sanitizing outputs before they are returned.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables autonomous agents to run shell and subprocess commands through a guardrail that blocks destructive system mutations, path traversals, and reverse shells. It also adds prompt-injection detection, spend circuit breakers, loop detection, and privacy sanitization so agent execution stays within safe, budgeted bounds.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables detection of autonomous agent infinite tool loops, planning deadlocks, and liveloss cycles via trajectory state entropy analysis. Also provides safety guardrails for prompt injection, destructive commands, budget overruns, and data leakage.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to resolve typed routing, loop-stall arbitration, and tool safety checks locally at sub-millisecond latency, avoiding unnecessary frontier LLM calls. It enforces reversible execution checkpoints, token budgets, and decayed episodic memory for safe, privacy-first autonomous operation.
      7
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to access only task-relevant data with secrets hidden and personal details pseudonymized, while enforcing destination policies to prevent data leakage even under prompt injection.
      Apache 2.0