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 Proxy2021/Enso --skill travelgit clone --depth 1 https://github.com/Proxy2021/EnsoWrote 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/proxy2021/enso/travel)<a href="https://agentmods.dev/skills/proxy2021/enso/travel"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/travel/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/proxy2021/enso/travel"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/travel.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 | $0.00044 | $0.00881 |
| Opus 5.5 | $0.00018 | $0.00352 |
| Sonnet 5.5 | $0.00009 | $0.00176 |
| Haiku 4.5 | $0.00004 | $0.00088 |
Grade A, and why
travel 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 1mo 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Places & Travel: discover destinations, save travel wishlists, plan photography trips around golden hour timing, research locations with immersion checklists, plan shots by day and lighting window, and access quick photography technique references.
Tool Reference
enso_travel_browse (primary)
Browse saved destinations and travel wishlists from your Cortex.
Parameters:
query(string): Search within saved placesregion(string): Filter by region/country
enso_travel_add
Search for a destination and add it to your travel wishlist with enriched travel information.
Parameters:
query(string): Place name, city, or destination to search for
enso_travel_discover
AI-powered destination discovery based on your interests and travel style.
Parameters:
style(string): Travel style: adventure, culture, relaxation, photography, food, historyregion(string): Preferred region: asia, europe, americas, africa, oceania
enso_travel_enrich
Enrich saved destinations with detailed travel information: highlights, neighborhoods, food, practical tips.
enso_travel_golden_hour
Calculate sunrise, sunset, golden hour, and blue hour times for any destination. Plan photography trips around optimal lighting windows. Use when the user says: 'golden hour times', 'sunrise sunset for my trip', 'plan photo trip lighting', 'when is golden hour in [city]'.
Parameters:
city(string): Destination city namestartDate(string): Trip start date (YYYY-MM-DD)endDate(string): Trip end date (YYYY-MM-DD)
enso_travel_research_checklist
Interactive location immersion research checklist for travel photographers. Covers historical research, cultural highlights, iconic spots, hidden gems, and visual character notes. Use when the user says: 'research checklist', 'prepare for trip research', 'location immersion guide'.
Parameters:
city(string): Destination city nameaction(string): Action: load, toggle, update_notes, resetitemId(string): Checklist item ID for toggle/update actionsnotes(string): Notes text for update_notes action
What ships with it
11 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.
- app.json 7.0 KB
- executors/add.js 2.5 KB runs code
- executors/browse.js 3.2 KB runs code
- executors/discover.js 3.5 KB runs code
- executors/enrich.js 2.2 KB runs code
- executors/golden_hour.js 10 KB runs code
- executors/quick_ref.js 10 KB runs code
- executors/research_checklist.js 7.3 KB runs code
- executors/shot_planner.js 4.8 KB runs code
- executors/trip_overview.js 3.2 KB runs code
- template.jsx 87 KB
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.
- 1mo ago First seen · 83 lines · 44 tokens per session scan A 7806b02dcf94
travel is a skill published in the GitHub repository Proxy2021/Enso (6 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 881 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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