技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 163 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：aiwithabidi/terraform-cloud
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill mostly matches its Terraform Cloud purpose, but the runtime script reads an undocumented .env fallback and contains API path/placeholder bugs — behavior that should be verified before use.
目的
Name/description, required env vars (TFC_TOKEN, TFC_ORG), and the included Python CLI all align with a Terraform Cloud REST API client.
说明范围
SKILL.md instructs running the bundled CLI and documents TFC_TOKEN/TFC_ORG, but the script will also attempt to read a .env file from a workspace path (WORKSPACE env or ~/.openclaw/workspace/.env) if the env var is missing — this file access is not documented. The script also accepts full URLs in its request helper and contains several placeholder/formatting bugs (e.g., paths with '{org}' are not substituted) that affect how requests are formed.
安装机制
No install spec — the skill is instruction-only with a single Python stdlib script. This is low-risk from an install/execution origin perspective.
证书
Only TFC_TOKEN and TFC_ORG are required and appropriate for Terraform Cloud, but the script will read the WORKSPACE environment variable and a .env file as a fallback. That undocumented filesystem access increases the attack surface (it will parse any .env it finds to extract the declared variables).
持久
The skill is not always-enabled and does not request system-wide changes or privileges beyond reading an optional .env file; it does not modify other skills or agent configuration.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Terraform Cloud」。简介：Terraform Cloud — manage workspaces, runs, plans, state, and variables via REST…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aiwithabidi/terraform-cloud/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
暂无本地缓存内容，可在后台执行详情同步。