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 ticketsatworkgit 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/ticketsatwork)<a href="https://agentmods.dev/skills/borski/travel-hacking-toolkit/ticketsatwork"><img src="https://agentmods.dev/badge/skills/borski/travel-hacking-toolkit/ticketsatwork/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/ticketsatwork"><img src="https://agentmods.dev/badge/skills/borski/travel-hacking-toolkit/ticketsatwork.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 52 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- medium MCP Rug Pull · line 55 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- medium MCP Rug Pull · line 61 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- medium MCP Rug Pull · line 66 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- medium MCP Rug Pull · line 71 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
- medium MCP Rug Pull · line 76 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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 | $0.00050 | $0.04306 |
| Opus 5.5 | $0.00020 | $0.01722 |
| Sonnet 5.5 | $0.00010 | $0.00861 |
| Haiku 4.5 | $0.00005 | $0.00431 |
Grade A, and why
ticketsatwork 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 — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TicketsAtWork
Scrapes inventory from ticketsatwork.com, a corporate employee perks platform operated by Entertainment Benefits Group (EBG). Members access negotiated rates through their employer's account.
No public API. Patchright (undetected Playwright fork) is required because TaW is behind bot protection that blocks requests, vanilla Playwright, and headless Chrome.
Why TaW matters for travel hacking
TaW aggregates inventory from EBG's negotiated wholesale pool (similar inventory feeds as Costco Travel, AAA, etc.). On the same property + dates, TaW often beats:
- The hotel's direct booking
- Booking.com / Hotels.com / Expedia
- Chase Travel (UR portal) and Amex Travel (MR portal)
- Even Amex FHR / THC and Chase Edit on properties not in those programs
Discount badges are typically genuine: the "Save $X" amount is computed against the hotel's published rate at search time.
Tradeoff: No portal credits, no card-program elite benefits, no points earning on the stay. You earn TaW "Funlife" loyalty points usable at ~1 cpp on future TaW bookings only.
Capabilities
| Subcommand | What it does | Status |
|---|---|---|
hotels |
Hotel search by city + date range. Returns ~10-200+ properties with prices, savings vs strike rate, lat/lng, ratings, distance | Stable |
cars |
Rental car search by pickup location + date/time range | Experimental. TaW resolves the autocomplete latlng but not always the airport code their car backend needs. Some valid-looking searches return "no cars at this location" even for major airports. See "Known limitations" below. |
tickets |
Browse a category landing page (e.g. disneyland, wdw, usf) or keyword-search via Reflektion |
Stable. Returns deal title, savings claim, description, image, detail URL. Prices are not on the listing, they appear on the detail page. |
Prerequisites
- Docker running locally (for the published image) OR Patchright installed locally (
pip install patchright && patchright install chromium) - A TaW account (created via your employer's TaW URL or corporate code)
- TaW email + password set as
TAW_USERandTAW_PASSenvironment variables
What ships with it
6 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.
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 · 351 lines · 50 tokens per session scan A 5681337f4e61
ticketsatwork is a skill published in the GitHub repository borski/travel-hacking-toolkit (754 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 4,306 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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