hyperagents-self-improving-ai

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Audited by Gen Agent Trust Hub on May 17, 2026

Risk Level: MEDIUMREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: Use of 'exec()' in the 'evaluate_agent' and 'CodeGenerationAgent.test_code' functions to run Python code generated by the language model. This allows for arbitrary code execution within the environment if the model provides malicious instructions.
  • [COMMAND_EXECUTION]: Use of 'pickle.load()' in the 'CheckpointManager' class for deserializing agent metadata and performance history. Loading untrusted pickle files can lead to arbitrary code execution.
  • [EXTERNAL_DOWNLOADS]: Fetches the HyperAgents framework from the official Facebook Research repository on GitHub.
  • [COMMAND_EXECUTION]: Setup instructions include 'sudo' commands for installing system-level dependencies on Fedora, RHEL, and Debian-based systems.
  • [PROMPT_INJECTION]: The skill presents an indirect prompt injection surface where the meta-agent generates new code based on external performance data and existing implementations. If these inputs are manipulated, the agent could be induced to generate backdoors.
  • Ingestion points: 'performance_data' and 'agent_code' are processed by the meta-agent in 'generate_improvement' and 'run_meta_improvement_cycle'.
  • Boundary markers: Uses Markdown triple backticks to delimit code blocks within model prompts.
  • Capability inventory: Includes capabilities for dynamic code execution (exec), syntax compilation (compile), and data serialization (pickle).
  • Sanitization: Provides a 'safety_check' helper and uses 'ast.parse' for syntax verification, although these are presented as optional debugging steps rather than mandatory enforcement in the core loop.
Audit Metadata
Risk Level
MEDIUM
Analyzed
May 17, 2026, 03:53 PM
Security Audit — agent-trust-hub — hyperagents-self-improving-ai