Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tdimino/claude-code-minoan --skill travel-requirements-expertgit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tdimino/claude-code-minoan/travel-requirements-expert)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/travel-requirements-expert"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/travel-requirements-expert/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/travel-requirements-expert"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/travel-requirements-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.01644 |
| Opus 5 | $0.00034 | $0.00822 |
| Sonnet 5 | $0.00013 | $0.00329 |
| Haiku 4.5 | $0.00007 | $0.00164 |
Grade A, and why
travel-requirements-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Travel Requirements Expert
Transform user travel requests into comprehensive, research-backed itinerary requirements through a systematic 5-phase workflow.
Overview
This skill provides a structured methodology for gathering travel requirements that produces detailed, implementable itineraries. Unlike ad-hoc trip planning, this approach ensures comprehensive coverage through systematic question phases, research-backed recommendations via MCP servers, and personalized balance of user preferences.
When to Use This Skill
Use this skill when users request:
- "Help me plan a trip to [destination]"
- "Create an itinerary for [purpose/theme]"
- "I'm visiting [place] and need recommendations"
- Complex travel requiring research + personalization
- Sacred/cultural pilgrimages with specific intentions
- Adventure travel with safety considerations
- Trips requiring dietary accommodation research
Do NOT use for:
- Simple destination questions (answer directly)
- Last-minute same-day recommendations
- Generic destination overviews
Workflow Overview
The skill uses a 5-phase systematic process:
- Initial Setup → Create requirements folder, extract key elements
- Discovery Questions → 5 foundational yes/no questions with smart defaults
- Context Research → Use MCP servers (Perplexity/Exa) for detailed information
- Expert Detail → 5 specific questions based on research findings
- Requirements Spec → Generate comprehensive final itinerary document
Phase 1: Initialize Requirements Folder
When user provides travel request, create tracking structure:
python scripts/create_requirements_folder.py "<user request summary>" requirements
This creates timestamped folder (YYYY-MM-DD-HHMM-slug/) with:
00-initial-request.md- User's requestmetadata.json- Progress tracking.current-requirement- Active folder pointer
Extract and document key elements:
- Logistical constraints (dates, accommodations, budget)
- Previous experience and capabilities
- Specific destination requests
- Cultural/spiritual/activity intentions
- Dietary requirements
- Physical capability levels
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 204 lines · 67 tokens per session scan A fe60db8bb147
travel-requirements-expert is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 1,644 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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