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在 OpenClaw 中安装
/install toronto
功能描述
Navigate Toronto as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transit, costs, immigration, and local insights.
安全使用建议
This skill is a static documentation bundle about Toronto — it doesn't ask for credentials, install software, or contact external services. It's coherent with its description and low-risk from a security standpoint. Practical cautions: the content is static and may become out-of-date (especially immigration, pricing, and salary figures), so verify critical items (visa rules, CRS scores, official fees, and legal requirements) with government or official sources before acting. Also remember that the agent may invoke the skill autonomously (normal platform behavior); if you want manual control, disable autonomous invocation at the agent/config level before enabling the skill.
功能分析
Type: OpenClaw Skill
Name: toronto
Version: 1.0.1
The skill bundle contains only metadata and extensive Markdown documentation files. The `SKILL.md` explicitly states that no external binaries are required (`"bins":[]`). All Markdown files provide comprehensive information about Toronto, consistent with the skill's stated purpose. There is no executable code, no obfuscation, no attempts at data exfiltration, persistence, or unauthorized remote control. The instructions within the Markdown files are purely informational for the AI agent to respond to user queries, with no evidence of prompt injection designed to subvert the agent's core function or access sensitive data. All external links are to legitimate informational websites.
能力评估
Purpose & Capability
Name/description (Toronto guide for visitors/residents/tech workers/etc.) align with the included markdown files (neighborhoods, transit, immigration, cost, food, tech, startup, etc.). There are no environment variables, binaries, or unrelated requirements.
Instruction Scope
SKILL.md instructs the agent to identify user context (role, timeline) and load relevant auxiliary files from the included set. It does not direct the agent to read unrelated system files, access credentials, or call external endpoints. The only possible caveat: SKILL.md claims 'current data (Feb 2026)' but the content is static — the agent should not assume live updates.
Install Mechanism
No install spec and no code files — this is instruction-only. Nothing is downloaded, executed, or written to disk by an installer.
Credentials
The skill requests no environment variables, credentials, or config paths. There are no disproportionate secret requests relative to its stated purpose.
Persistence & Privilege
Flags are default (always:false, agent invocation allowed). The skill does not request permanent system presence or to modify other skills. Autonomous invocation is enabled by default on the platform but is not combined here with elevated privileges.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install toronto - 安装完成后,直接呼叫该 Skill 的名称或使用
/toronto触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
Initial release
v1.0.0
Initial release
元数据
常见问题
Toronto 是什么?
Navigate Toronto as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transit, costs, immigration, and local insights. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 507 次。
如何安装 Toronto?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install toronto」即可一键安装,无需额外配置。
Toronto 是免费的吗?
是的,Toronto 完全免费(开源免费),可自由下载、安装和使用。
Toronto 支持哪些平台?
Toronto 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。
谁开发了 Toronto?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.1。
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