tke skill

腾讯云 TKE 容器服务运维专家，支持集群巡检、状态查询、节点池管理、kubeconfig 获取等

This skill implements legitimate Tencent Cloud TKE operations, but the package metadata failed to declare that it requires Tencent Cloud credentials (TENCENTCLOUD_SECRET_ID and TENCENTCLOUD_SECRET_KEY). Before installing: 1) Confirm you are comfortable providing Tencent Cloud credentials — prefer short‑lived or least-privilege keys. 2) Ensure the agent's skill sandbox will not leak env vars or copy secrets into logs/shared outputs. 3) Manually inspect the full tke_cli.py (the file is mostly visible; verify the truncated tail contains no unexpected network calls or exec). 4) Install the dependency (pip install tencentcloud-sdk-python-tke) in a controlled environment. 5) If you want the agent to run this skill, consider only passing credentials via CLI args for single-use, or use temporary credentials and avoid storing long-lived secrets in the agent environment. The metadata author should be asked to update the skill to declare required env vars and document credential handling.

Type: OpenClaw Skill Name: tke-skill-pro Version: 0.1.0 The skill bundle is a legitimate administrative tool for managing Tencent Cloud TKE clusters. The Python script `tke_cli.py` is a clean wrapper around the official Tencent Cloud SDK, using standard credential handling (env vars or CLI args) and hardcoded official API endpoints (tke.tencentcloudapi.com). The instructions in `SKILL.md` correctly guide the AI agent through cluster inspection and management tasks without any evidence of prompt injection, data exfiltration, or unauthorized access. While the tool can perform sensitive actions like retrieving kubeconfigs or opening public endpoints, these are explicitly documented as part of its intended functionality.