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 cxcscmu/SkillLearnBench --skill itinerary-budget-planninggit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/itinerary-budget-planning)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/itinerary-budget-planning"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/itinerary-budget-planning/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/cxcscmu/skilllearnbench/itinerary-budget-planning"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/itinerary-budget-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00023 | $0.00317 |
| Opus 5 | $0.00012 | $0.00159 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
itinerary-budget-planning 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 6d 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.
What it actually says
Itinerary Budget Planning
Route Optimization
- Choose cities that minimize total driving time
- Consider geographic clustering (e.g., Cleveland→Dayton→Cincinnati forms a logical loop)
- Start and end at the origin city for round trips
Budget Components
- Accommodations: price × nights per city
- Meals: restaurant average cost × number of meals
- Transportation: Self-driving costs (gas estimated from distances)
Cuisine Diversity Strategy
- Map required cuisines (American, Mediterranean, Chinese, Italian) across meals
- Use restaurant
Cuisinesfield to match — many restaurants serve multiple cuisines - Spread different cuisines across breakfast, lunch, and dinner slots
Accommodation Selection Criteria
- Check
maximum occupancy >= party size - Check
minimum nights <= planned stay duration - Filter by
house_rulesfor specific needs (pets, children, smoking) - Balance price vs. review rating
Day Planning Template
- Travel days: skip meals during long drives (use "-")
- City days: 3 meals + 2-3 attractions
- Transition days: breakfast in departing city, lunch/dinner in arriving city
Output Format
JSON with plan array (7 day objects) and data_sources array.
Each day: day, current_city, transportation, breakfast, lunch, dinner, attraction, accommodation.
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.
- 6d ago First seen · 37 lines · 23 tokens per session scan A 51897503a2c8
itinerary-budget-planning is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 317 once invoked, about $0.0001 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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