SageMaker

Unified memory-and-growth operating system for agents. Use when you need consistent layered memory (short/mid/long/knowledge), self-model-driven promotion ru...

This skill is internally consistent with a local agent memory管理 helper and doesn't request credentials or installs. Before enabling it: 1) Confirm where the agent will read/write the memory/ and governance files (workspace root vs system paths) so sensitive data isn't stored unexpectedly. 2) If an installer (scripts/install.ps1) is ever bundled, inspect the script before running it — do not run PowerShell scripts from untrusted sources or with execution-policy bypass. 3) Decide retention and privacy rules for stored memories (they can contain sensitive info). 4) If you expect the skill to integrate across multiple agents or systems, request details on access controls. If those questions are answered satisfactorily, the skill appears safe to use.

Type: OpenClaw Skill Name: sagemaker Version: 1.0.1 The skill bundle uses the name 'SageMaker' (a trademarked AWS service) for an unrelated memory management framework, which is misleading. Critically, SKILL.md contains explicit instructions for the AI agent to execute a PowerShell script (scripts/install.ps1) that is referenced but not provided in the bundle for security review, creating a blind execution risk. Furthermore, the instructions define protocols for modifying 'Core-files' like SOUL.md and IDENTITY.md, which are high-value targets for manipulating an agent's fundamental behavior and constraints.