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 mtnrabi/travel-agent-skills --skill destination-comparegit clone --depth 1 https://github.com/mtnrabi/travel-agent-skillsWrote 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/mtnrabi/travel-agent-skills/destination-compare)<a href="https://agentmods.dev/skills/mtnrabi/travel-agent-skills/destination-compare"><img src="https://agentmods.dev/badge/skills/mtnrabi/travel-agent-skills/destination-compare/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/mtnrabi/travel-agent-skills/destination-compare"><img src="https://agentmods.dev/badge/skills/mtnrabi/travel-agent-skills/destination-compare.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 | $0.00373 | $0.02493 |
| Opus 5 | $0.00187 | $0.01247 |
| Sonnet 5 | $0.00075 | $0.00499 |
| Haiku 4.5 | $0.00037 | $0.00249 |
Grade A, and why
destination-compare scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST \ How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Destination Compare
Overview
This skill answers open-ended "where can I go" questions: one origin, one date window, many candidate destinations, ranked by real fare. Use travel-data-api for auth, base URL, and endpoint details. Prefer the hosted MCP tools when a client is configured — search_oneway_flights and search_roundtrip_flights accept a LIST of destinations and a date RANGE, so a 10-city comparison is ONE tool call instead of N REST calls. The fields you rank on are price_as_number (one-way) and total_price_as_number (round-trip); the fields you report coverage from are search_coverage.destinations_searched, search_coverage.departure_dates_searched, and search_coverage.truncated.
Endpoints and Tools
| Job | Call |
|---|---|
| Many destinations, one-way, date range | MCP search_oneway_flights — to_airport as a list, departure_date_from / departure_date_to |
| Many destinations, round-trip, flexible trip length | MCP search_roundtrip_flights — to_airport as a list, nights as a number or list |
| No MCP client configured — one destination per call | POST /api/google_flights/oneway/v1 on google-flights-live-api.p.rapidapi.com |
| Round-trip over REST | POST /api/google_flights/roundtrip/v1 on the same host |
| Add nightly hotel cost to a shortlisted city | POST /search on booking-live-api.p.rapidapi.com — see the hotel-search skill |
Workflow
- Pin down origin, window, budget, and trip shape before calling anything. If the user gave a month ("October"), pick a concrete sub-range — a full month across 10 destinations is 310 combinations and will be truncated.
- Build the candidate destination list yourself, as IATA codes. The API does not suggest destinations; it prices the ones you name. Say which cities you picked and why before spending the user's money.
- Count the combinations (destinations x departure dates) and state the cost out loud. Cap: 30 per call on the paid MCP server (60 max), 15 per call on the free ad-supported one. Over the cap, split into batches by theme ("Greek islands", "Balkans") rather than silently dropping cities.
- Make ONE MCP call with the whole destination list. Never loop one call per destination or per date when an MCP client is available.
- Rank client-side by
price_as_number(ortotal_price_as_number), keeping the single cheapest row per destination plus its date, airline, stops andbuy_link. - Read
search_coverageand report it. A city that returned no rows is "no fare found in this window", never "there are no flights".
What ships with it
1 file 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.
- 11d ago First seen · 102 lines · 373 tokens per session scan A e4eea1554215
destination-compare is a skill published in the GitHub repository mtnrabi/travel-agent-skills (4 stars, last pushed 8d ago), licensed MIT. It adds 373 tokens to every session and 2,493 once invoked, about $0.0019 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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