Model Context Transfer
v1.0.0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。
⭐ 0· 72·0 current·0 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description, SKILL.md, templates, and the small Python script all align: they generate and format a context-transfer document for handing work between models/agents. No unrelated binaries, env vars, or remote endpoints are requested.
Instruction Scope
Instructions are narrowly focused on producing and exchanging structured CONTEXT_TRANSFER documents. However the guidance explicitly mentions handing over '文件/路径/凭据' (files/paths/credentials) and recommends periodic automatic backups and triggers (e.g., '检测到上下文超过 80% 时'), which could encourage collection or transmission of sensitive data if operators do not redact it. The instructions do not themselves automate reading system files or secrets, but they give agents permission to include credential information in transfers if user/agent logic does so.
Install Mechanism
No install spec; skill is instruction-focused with one local Python script that generates markdown. No downloads, no external packages fetched by the skill itself.
Credentials
Skill declares no required environment variables or credentials and the script doesn't access environment secrets. Still, the quality checklist and templates mention transferring '凭据' (credentials) and file paths — this is a usage-level risk (user/agents could include secrets in the transfer) rather than a property of the skill's code.
Persistence & Privilege
always is false and skill does not request persistent elevated privileges. The included script writes a local markdown file (context_transfer.md), which is expected behavior for a document-generator; it does not modify other skills or system-wide settings.
Assessment
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.Like a lobster shell, security has layers — review code before you run it.
contextvk97bhxtfv7pe3ja8pbzv89e69n841jp8handovervk97bhxtfv7pe3ja8pbzv89e69n841jp8latestvk97bhxtfv7pe3ja8pbzv89e69n841jp8memoryvk97bhxtfv7pe3ja8pbzv89e69n841jp8model-switchvk97bhxtfv7pe3ja8pbzv89e69n841jp8transfervk97bhxtfv7pe3ja8pbzv89e69n841jp8
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
