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ivangdavila

San Francisco

by Iván · GitHub ↗ · v1.1.0
linuxdarwinwin32 ✓ Security Clean
495
Downloads
2
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install san-francisco
Description
Navigate San Francisco as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, safety, and local insights.
Usage Guidance
This skill appears coherent and low-risk: it is a local content bundle (tips, neighborhood/transport/costs) and asks for no credentials or installs. Before relying on it: 1) remember the 'current data' claim is vague — verify time-sensitive facts (rent, transit fares, salaries) against live sources; 2) the skill owner is unknown, so prefer non-sensitive queries (travel, neighborhood advice) rather than sharing personal or account information through the skill; 3) ask the agent to cite sources or dates when it gives numeric or 'current' figures; and 4) if you need live/authoritative data, pair this skill with an official API or site rather than trusting it as a single source.
Capability Analysis
Type: OpenClaw Skill Name: san-francisco Version: 1.1.0 This skill bundle is benign. All files, including `SKILL.md` and the various informational markdown documents, contain only data and instructions related to providing information about San Francisco. There are no declared binary dependencies (`requires.bins: []`), no executable code, no attempts at prompt injection for malicious purposes (e.g., data exfiltration, unauthorized command execution), and no suspicious URLs or file paths. The content is entirely consistent with the stated purpose of a travel and resident guide.
Capability Assessment
Purpose & Capability
Skill name/description match the included files (neighborhoods, transport, costs, safety, startup/tech guidance). No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
SKILL.md instructs the agent to load and serve the included topical files and to provide 'practical guidance with current data.' The runtime instructions do not direct the agent to read system files, access credentials, or transmit data externally. The only minor ambiguity: 'current data' is asserted but there is no install or connector described to refresh live data (this affects accuracy, not security).
Install Mechanism
No install spec and no code files to execute; instruction-only skills are lowest-risk for disk/network installs. Nothing will be downloaded or written as part of an installer.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. There is no disproportionate request for secrets or external service access.
Persistence & Privilege
always is false (default). The skill does not request persistent elevated privileges or to modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not combined with other red flags.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install san-francisco
  3. After installation, invoke the skill by name or use /san-francisco
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Initial release
Metadata
Slug san-francisco
Version 1.1.0
License
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is San Francisco?

Navigate San Francisco as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, safety, and local insights. It is an AI Agent Skill for Claude Code / OpenClaw, with 495 downloads so far.

How do I install San Francisco?

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

Is San Francisco free?

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

Which platforms does San Francisco support?

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

Who created San Francisco?

It is built and maintained by Iván (@ivangdavila); the current version is v1.1.0.

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