memory-management
Pass
Audited by Gen Agent Trust Hub on May 16, 2026
Risk Level: SAFEPROMPT_INJECTION
Full Analysis
- [SAFE]: The skill serves as an educational and architectural guide for implementing tiered memory systems in AI agents.\n
- The provided Python implementations (e.g., TieredMemory, ContextManager) use standard logic and modular patterns without relying on suspicious external dependencies or dangerous system calls.\n- [PROMPT_INJECTION]: The memory management logic processes external strings for storage and retrieval, creating a surface for indirect prompt injection.\n
- Ingestion points: The
remembermethod inSKILL.mdaccepts arbitrarycontentstrings which are stored in working and semantic memory.\n - Boundary markers: The architectural snippets in
SKILL.md(e.g., inContextManager.build_context) do not demonstrate the use of delimiters or instructions to ignore embedded commands when constructing the prompt context.\n - Capability inventory: The skill uses
llm.generatefor memory summarization, hierarchical synthesis, and relevance reranking inSKILL.md, which could be influenced by malicious content stored in the memory tiers.\n - Sanitization: No explicit sanitization, escaping, or validation logic is present in the implementation snippets to filter potentially malicious instructions from processed data.
Audit Metadata