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Install in OpenClaw
/install trip-guide-pdf-car-sleep
Description
Research, plan, revise, and deliver car-sleep travel guides as HTML/PDF with verified overnight parking, charging, toilet access, next-morning route anchors,...
Usage Guidance
This skill appears coherent and limited to producing researched guides, but be aware it will perform network research and capture screenshots. Before installing, confirm: (1) whether your OpenClaw agent/platform will allow web access and how fetched pages/screenshots are stored/shared, (2) what 'cn-review-sites-cdp' refers to and whether it contacts a third party you trust, and (3) whether you need to supply any mapping or API keys (the skill doesn't request them, but some integrations you use might). If you have privacy concerns about sending pages or screenshots to external services, ask the platform how media and fetched data are handled.
Capability Analysis
Type: OpenClaw Skill
Name: trip-guide-pdf-car-sleep
Version: 1.0.0
The skill bundle is a specialized travel planning tool for car-sleep and EV-based trips. The instructions in SKILL.md and the reference files (qa-checklist.md, source-selection.md) focus on data verification, logical itinerary building based on 'night anchors,' and generating HTML/PDF reports. There is no evidence of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description match the SKILL.md: it focuses on researching and producing HTML/PDF car‑sleep guides and requests no unrelated binaries, installs, or credentials. The included reference docs align with the stated job.
Instruction Scope
The runtime instructions require web research, verification of parking/charger/toilet info, and capturing/including screenshots as evidence. This is coherent for the task but does mean the agent will retrieve external pages and store/attach screenshots—users should expect network fetches and generated media files. The doc also references an internal/third‑party source token ('cn-review-sites-cdp') which is not explained in the skill; verify what that refers to if you care about where data is sourced.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer and no packages or remote downloads are requested.
Credentials
The skill declares no environment variables, credentials, or config paths. The work relies on public web research and local screenshot/media handling, which is proportionate to the stated purpose.
Persistence & Privilege
Skill is not always: true and doesn't request special persistent privileges. It can be invoked by the agent (normal), but there is no built‑in mechanism to modify other skills or system configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trip-guide-pdf-car-sleep - After installation, invoke the skill by name or use
/trip-guide-pdf-car-sleep - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: car-sleep travel guide workflow with overnight anchor ranking, camping-signal prioritization, charger/toilet verification, and fallback-point logic.
Metadata
Frequently Asked Questions
What is Trip Guide PDF Car Sleep?
Research, plan, revise, and deliver car-sleep travel guides as HTML/PDF with verified overnight parking, charging, toilet access, next-morning route anchors,... It is an AI Agent Skill for Claude Code / OpenClaw, with 95 downloads so far.
How do I install Trip Guide PDF Car Sleep?
Run "/install trip-guide-pdf-car-sleep" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trip Guide PDF Car Sleep free?
Yes, Trip Guide PDF Car Sleep is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trip Guide PDF Car Sleep support?
Trip Guide PDF Car Sleep is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trip Guide PDF Car Sleep?
It is built and maintained by oldShade (@allensu0314); the current version is v1.0.0.
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