skills/dnyoussef/ai-chrome-extension/when-optimizing-agent-learning-use-reasoningbank-intelligence/Gen Agent Trust Hub
when-optimizing-agent-learning-use-reasoningbank-intelligence
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFEPROMPT_INJECTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [PROMPT_INJECTION]: The skill implements an indirect prompt injection surface through its adaptive learning architecture.
- Ingestion points: The skill captures agent event data including thoughts and observations at runtime (SKILL.md, Step 2.1).
- Boundary markers: There are no explicit delimiters or instructions to ignore embedded commands within the captured trajectories.
- Capability inventory: The skill uses learned patterns to dynamically update agent strategies via
agent.updateStrategyandagent.setDecisionModel(SKILL.md, Step 3.3). - Sanitization: No sanitization or validation of the captured trajectory content is performed before it is used to influence the decision model.
- [EXTERNAL_DOWNLOADS]: Fetches and installs vendor-specific dependencies including
reasoningbank,agentdb, andclaude-flowvia npm and npx. - [COMMAND_EXECUTION]: Executes shell commands via npx for system initialization and skill execution (README.md, SKILL.md).
Audit Metadata