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Travel Memory Preservation System

v1.0.0

Systematic approach to preserving travel memories

0· 86·0 current·0 all-time
byhaidong@harrylabsj

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OpenClaw Prompt Flow

Install with OpenClaw

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Travel Memory Preservation System" (harrylabsj/travel-memory-preservation-system) from ClawHub.
Skill page: https://clawhub.ai/harrylabsj/travel-memory-preservation-system
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install travel-memory-preservation-system

ClawHub CLI

Package manager switcher

npx clawhub@latest install travel-memory-preservation-system
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Purpose & Capability
Name, description, skill.json, SKILL.md, and included handler.py all implement a purely descriptive travel memory planning capability. There are no requested env vars, no external binaries, and no unrelated capabilities requested.
Instruction Scope
SKILL.md repeatedly emphasizes 'no code execution' and 'no external APIs/network requests'. However, the package contains handler.py and tests/test_handler.py — executable Python code intended to be run by the platform. The code itself appears benign (pure local JSON generation, no file I/O, no network, no env var access), but this is a mismatch between the documentation and the presence of runnable code.
Install Mechanism
No install spec is present (instruction-only style). No downloads or external package installs are required. This is low-risk from an install-mechanism perspective.
Credentials
The skill declares no required environment variables, no config paths, and the handler code does not access environment variables or external credentials. Requested privileges are proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill is user-invocable. There is no evidence it requests permanent presence or modifies other skills or system settings.
What to consider before installing
This skill is largely coherent with its stated purpose and appears low-risk: it doesn't request credentials, network access, or installation steps. However, SKILL.md claims 'no code execution' while the bundle includes a runnable handler.py and tests. The handler appears harmless (generates JSON from input, no network/file/env access), but you should: (1) review handler.py yourself or run it in a sandbox to confirm behavior; (2) verify the runtime environment won't grant it unexpected privileges; and (3) be cautious if future versions add network or credential access. If you want absolute assurance, ask the publisher why SKILL.md claims no code execution despite including executable code.

Like a lobster shell, security has layers — review code before you run it.

latestvk974gx3sy0z2f53t1pc7h8t119858bv8
86downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Travel Memory Preservation System

Overview

Systematic approach to preserving and integrating travel memories meaningfully

This is a pure descriptive skill that provides frameworks, templates, and heuristic analysis for travel planning and preparation. No real code execution, external APIs, or network requests are performed.

Trigger Keywords

Use this skill when planning travel experiences related to:

  • memory and preservation
  • journal considerations
  • reflection planning
  • Travel integration if applicable
  • sharing if applicable

Primary Triggers

  • "Help me plan travel memory preservation system for my upcoming trip"
  • "Provide framework for memory in travel context"
  • "Create checklist for travel memory preservation system"
  • "Analyze my travel situation using travel memory preservation system principles"

Workflow

  1. Input Reception: User provides travel context through natural language input
  2. Input Analysis: Skill parses input to extract key travel information:
    • Destination and travel context
    • Timeframe and duration
    • Traveler type and experience level
    • Specific concerns or requirements
    • Budget considerations (if mentioned)
    • Group composition and needs
  3. Framework Application: Skill applies relevant travel planning frameworks and templates
  4. Recommendation Generation: Skill generates structured, actionable recommendations
  5. Output Delivery: User receives tailored travel planning insights and next steps

Output Modules

Based on design specification, this skill covers:

  • Memory capture framework
  • Reflection and integration practices
  • Physical/digital preservation systems
  • Experience sharing strategies

Detailed Module Descriptions

Memory capture framework

  • Provides structured approach to memory capture framework
  • Includes templates and checklists
  • Offers best practices and considerations

Reflection and integration practices

  • Delivers practical reflection and integration practices
  • Includes implementation guides
  • Provides customization options

Physical/digital preservation systems

  • Offers physical/digital preservation systems
  • Includes ethical considerations
  • Provides risk mitigation strategies

Experience sharing strategies

  • Provides experience sharing strategies
  • Includes integration guidance
  • Offers long-term planning support

Safety & Limitations

What This Skill Does

  • Provides descriptive travel planning frameworks
  • Offers heuristic analysis and recommendations
  • Delivers structured planning templates
  • Suggests considerations and best practices

What This Skill Does NOT Do

  • No real bookings: Does not book flights, hotels, or activities
  • No real-time data: Does not access live prices, availability, or weather
  • No professional advice: Does not provide medical, legal, or financial advice
  • No guarantees: Recommendations are informational only
  • No code execution: Pure descriptive analysis only
  • No external APIs: No network requests or external service calls
  • No cultural guarantees: Provides general guidance but cannot guarantee cultural appropriateness

Safety Boundaries

  • All recommendations are informational only
  • Users must verify information with official sources
  • Users should consult professionals for specific needs
  • Cultural guidance is general and may not apply to all situations

Example Prompts

Basic Usage

  • "Help me with travel memory preservation system for my trip to Japan"
  • "Provide memory framework for travel planning"
  • "Create travel memory preservation system checklist for my upcoming vacation"

Intermediate Usage

  • "I'm traveling to memory destination for 2 weeks, help me plan travel memory preservation system"
  • "Analyze my travel situation: destination Paris, duration 10 days, budget $3000"
  • "Generate travel memory preservation system recommendations for family travel with children"

Advanced Usage

  • "I need comprehensive travel memory preservation system for business travel to multiple countries"
  • "Create detailed travel memory preservation system plan for extended travel with specific preservation requirements"
  • "Provide travel memory preservation system framework with risk assessment and contingency planning"

Acceptance Criteria

Functional Requirements

  1. ✅ Returns structured JSON output with proper formatting
  2. ✅ Includes actionable travel recommendations based on input analysis
  3. ✅ Provides relevant travel planning frameworks and templates
  4. ✅ Demonstrates input-based differentiation (different inputs → different outputs)
  5. ✅ Covers all specified modules: Memory capture framework, Reflection and integration practices, Physical/digital preservation systems, Experience sharing strategies

Non-Functional Requirements

  1. ✅ No code execution, external APIs, or network requests
  2. ✅ Pure descriptive analysis only
  3. ✅ Clear safety disclaimers present
  4. ✅ File count ≤ 10
  5. ✅ English documentation primary

Quality Requirements

  1. ✅ Clear, actionable travel recommendations
  2. ✅ Input-based differentiation demonstrated
  3. ✅ Skill-specific logic implemented
  4. ✅ Test coverage for core functionality
  5. ✅ Documentation complete and accurate

Integration

This skill can be combined with:

  • Destination research skills
  • Budget planning skills
  • Packing and preparation skills
  • Cultural awareness skills
  • Other tourism planning skills

Version History

  • 1.0.0 (2026-04-20): Initial release - P1 batch development
    • Added .claw/identity.json
    • Completed SKILL.md documentation
    • Fixed review blocking issues

Technical Details

Handler Interface

  • Standard OpenClaw handler: handle(user_input: str) -> str
  • Returns valid JSON with proper structure
  • Includes input_analysis based on user input
  • Contains comprehensive disclaimer

Test Coverage

  • JSON validation test
  • Disclaimer presence test
  • Input differentiation test
  • Skill-specific logic test

File Structure

  • SKILL.md - Complete documentation (this file)
  • handler.py - Main handler implementation
  • tests/test_handler.py - Unit tests
  • skill.json - Skill metadata
  • .claw/identity.json - Identity information

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