Model Context Transfer

模型切换时的上下文传递技能。当需要切换AI模型或Agent时，确保新模型能完整接收之前的对话记忆、任务状态和关键信息，实现无缝衔接。

This skill appears internally coherent and does what it says: produce structured handover documents for switching models or agents. Before installing or using it, consider these precautions: - Secrets handling: the templates and checklist explicitly reference handing over credentials and file paths. Ensure you or your agent redact or exclude secrets (API keys, passwords, private file contents) from any CONTEXT_TRANSFER before sending it to another agent or model. - Triggering policy: the SKILL.md suggests automatic triggers (e.g., context thresholds, periodic backups). If you enable automation, limit when and to whom transfers are sent to avoid accidental data leakage. - Review the script: the Python script only formats and writes a markdown file locally. You can safely inspect it; run it in a controlled environment if you plan to execute it on sensitive data. - Agent permissions: restrict which agents/models can receive CONTEXT_TRANSFER documents and monitor any agents that are permitted to forward or export them externally. If you want higher assurance, ask the author to explicitly state policies for redaction, or modify the templates to include mandatory redaction placeholders for secrets and PII.

Type: OpenClaw Skill Name: model-context-transfer Version: 1.0.0 The skill bundle is designed to facilitate context transfer between AI models or agents. The core logic in 'scripts/generate_transfer.py' is a straightforward Python script that generates a Markdown report based on provided arguments, with no network activity, obfuscation, or unauthorized file access. While the 'SKILL.md' checklist mentions transferring credentials, it does so within the context of a legitimate task handoff and lacks any instructions for data exfiltration or malicious prompt injection.