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 tickadoo/tickadoo-mcp --skill plan-a-tripgit clone --depth 1 https://github.com/tickadoo/tickadoo-mcpWrote 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/tickadoo/tickadoo-mcp/plan-a-trip)<a href="https://agentmods.dev/skills/tickadoo/tickadoo-mcp/plan-a-trip"><img src="https://agentmods.dev/badge/skills/tickadoo/tickadoo-mcp/plan-a-trip/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/tickadoo/tickadoo-mcp/plan-a-trip"><img src="https://agentmods.dev/badge/skills/tickadoo/tickadoo-mcp/plan-a-trip.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 | $0.00078 | $0.01087 |
| Opus 5 | $0.00039 | $0.00544 |
| Sonnet 5 | $0.00016 | $0.00217 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
plan-a-trip 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan a trip with tickadoo
Build a real multi-day plan for ONE city with the tickadoo MCP tools (mcp.tickadoo.com/mcp), grounded in the catalogue rather than prior knowledge.
When to use this
The user wants activities arranged across at least two days in one city, such as "three days in Barcelona", "plan our Tokyo weekend" or "a Paris itinerary from Monday to Thursday". If the request covers only one day or one time period, use the relevant discovery, family, date-night or tonight skill.
The workflow (tool chain)
- Orient —
get_city_guide(city)currently returns a ranked list of the city's most popular bookable experiences (search-result rows), which you can use to gauge the city's dominant categories and price levels yourself. Do not promise or invent highlights, price bands, best-for hints or seasonal notes — state only what the returned rows contain. If the city is unclear or ambiguous, ask the user to clarify (uselist_citiesonly to browse, optionally by country — it has no free-text query). - Build the backbone — call
plan_itinerarywithcityanddays(passinterests,audience,budgetband andpacewhen known, per the callable schema). It currently returns a flat candidate list of experiences rather than structured day slots or a running cost: arrange the returned candidates into morning/afternoon/evening slots yourself, grouping geographically by venue, and compute any cost total from the returnedpricefields only. - Replace or widen only when needed — use
search_experiencesfor a named category,recommend_experiencesfor a natural-language preference,search_by_moodfor a supported mood, orget_hidden_gemsfor alternative pulls (verify they differ from the main list before presenting them as hidden gems) — only when the user asks to replace a slot or browse alternatives. Do not imply that an earlier candidate pool is consumed byplan_itinerary. - Enrich and check selected items — fetch
get_experience_detailsfor experiences the user is considering, then follow the live-availability sequence for each selected slot.
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 · 39 lines · 78 tokens per session scan A 090b7481fef9
plan-a-trip is a skill published in the GitHub repository tickadoo/tickadoo-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 78 tokens to every session and 1,087 once invoked, about $0.0004 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 2026-08-31.
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