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 borski/travel-hacking-toolkit --skill wheretocreditgit clone --depth 1 https://github.com/borski/travel-hacking-toolkitWrote 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/borski/travel-hacking-toolkit/wheretocredit)<a href="https://agentmods.dev/skills/borski/travel-hacking-toolkit/wheretocredit"><img src="https://agentmods.dev/badge/skills/borski/travel-hacking-toolkit/wheretocredit/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/borski/travel-hacking-toolkit/wheretocredit"><img src="https://agentmods.dev/badge/skills/borski/travel-hacking-toolkit/wheretocredit.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 | $0.00046 | $0.02325 |
| Opus 5.5 | $0.00018 | $0.00930 |
| Sonnet 5.5 | $0.00009 | $0.00465 |
| Haiku 4.5 | $0.00005 | $0.00232 |
Grade A, and why
wheretocredit 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Where to Credit
Look up mileage earning rates for any airline and booking class across 50+ frequent flyer programs. Covers both redeemable miles (the ones you spend) and qualifying miles (the ones that count toward elite status).
Source: wheretocredit.com — No API key required. Data is scraped via webfetch.
URL Patterns
All data lives at predictable URLs on wheretocredit.com:
Airline booking class detail (PRIMARY)
https://www.wheretocredit.com/en/{IATA_CODE}/{BOOKING_CLASS}
Returns: cabin type, fare types, redeemable miles table, qualifying miles table.
Example: https://www.wheretocredit.com/en/AY/Z (Finnair class Z)
Airline overview (all classes)
https://www.wheretocredit.com/en/{IATA_CODE}
Returns: list of all booking classes with cabin, fare types, and top earning program for each.
Example: https://www.wheretocredit.com/en/AY (all Finnair classes)
Program overview (all partner airlines)
https://www.wheretocredit.com/en/programs/{PROGRAM_CODE}
Returns: list of all airlines that credit to this program.
Example: https://www.wheretocredit.com/en/programs/AA (AA AAdvantage partners)
Common IATA Codes
| Code | Airline |
|---|---|
| AA | American Airlines |
| AS | Alaska Airlines |
| AF | Air France |
| AY | Finnair |
| BA | British Airways |
| CX | Cathay Pacific |
| DL | Delta |
| EK | Emirates |
| IB | Iberia |
| JL | Japan Airlines |
| KL | KLM |
| LH | Lufthansa |
| NH | ANA |
| QF | Qantas |
| QR | Qatar Airways |
| SK | SAS |
| SQ | Singapore Airlines |
| TK | Turkish Airlines |
| UA | United Airlines |
| VS | Virgin Atlantic |
Common Program Codes
| Code | Program |
|---|---|
| AA | American Airlines AAdvantage |
| AS2 | Alaska/Hawaiian Atmos Rewards |
| AFB | Flying Blue (Air France/KLM) |
| BA2 | British Airways Club |
| CX | Cathay Marco Polo / Asia Miles |
| DL2 | Delta SkyMiles |
| IB2 | Iberia Plus |
| JL | Japan Airlines Mileage Bank |
| LH | Miles & More |
| QR | Qatar Privilege Club |
| SK | SAS EuroBonus |
| SQ | Singapore KrisFlyer |
| UA | United MileagePlus |
| VS | Virgin Atlantic Flying Club |
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 · 245 lines · 46 tokens per session scan A 36661f2a7929
wheretocredit is a skill published in the GitHub repository borski/travel-hacking-toolkit (754 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 2,325 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 2026-08-30.
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