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ivangdavila

Toronto

by Iván · GitHub ↗ · v1.0.1
linuxdarwinwin32 ✓ Security Clean
507
Downloads
0
Stars
2
Active Installs
2
Versions
Install in OpenClaw
/install toronto
Description
Navigate Toronto as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transit, costs, immigration, and local insights.
Usage Guidance
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 Practical cautions: the content is static and may become out-of-date (especially immigration, pricing, and salary figures), so verify critical items (visa rules, CRS scores, official fees, and legal requirements) with government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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install toronto
  3. After installation, invoke the skill by name or use /toronto
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Initial release
v1.0.0
Initial release
Metadata
Slug toronto
Version 1.0.1
License
All-time Installs 3
Active Installs 2
Total Versions 2
Frequently Asked Questions

What is Toronto?

Navigate Toronto as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transit, costs, immigration, and local insights. It is an AI Agent Skill for Claude Code / OpenClaw, with 507 downloads so far.

How do I install Toronto?

Run "/install toronto" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Toronto free?

Yes, Toronto is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Toronto support?

Toronto is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created Toronto?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.1.

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