Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jokull/icelandic-datanpx agentmods add skills/jokull/icelandic-data/samgongustofaWrote 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/jokull/icelandic-data/samgongustofa)<a href="https://agentmods.dev/skills/jokull/icelandic-data/samgongustofa"><img src="https://agentmods.dev/badge/skills/jokull/icelandic-data/samgongustofa/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/jokull/icelandic-data/samgongustofa"><img src="https://agentmods.dev/badge/skills/jokull/icelandic-data/samgongustofa.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 | $0.00042 | $0.02553 |
| Opus 5 | $0.00021 | $0.01277 |
| Sonnet 5 | $0.00008 | $0.00511 |
| Haiku 4.5 | $0.00004 | $0.00255 |
Grade A, and why
samgongustofa 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Samgöngustofa (Iceland Transport Authority) — bifreiðatölur
Vehicle-registration statistics from https://bifreidatolur.samgongustofa.is/.
The site is a thin SPA that embeds a separate Power BI report per section,
each with its own resource key. scripts/samgongustofa.py extracts tidy CSVs
from two of them.
Quick start
# What's available (both reports, their keys, every groupable dimension)
uv run python scripts/samgongustofa.py list
# Current fleet on the road, by fuel — the EV-transition read
uv run python scripts/samgongustofa.py fetch --report onroad --dimension fuel
# New registrations (imports) by brand, per year
uv run python scripts/samgongustofa.py fetch --dimension make --years 2020-2026
# Same, month by month, for a YoY view
uv run python scripts/samgongustofa.py fetch --dimension make --years 2025,2026 --monthly
# Only brand-new (exclude imported-used)
uv run python scripts/samgongustofa.py fetch --dimension fuel --years 2024-2026 --import-state new
Output lands in data/processed/samgongustofa/<report>_<dimension>[_by_year[_month]][_new|_used].csv
as tidy long format, e.g. make,year,count or fuel,count.
Two reports: flow vs stock
--report |
Section | Meaning | Time |
|---|---|---|---|
nyskraningar (default) |
#nyskraningar |
New registrations = imports. First Icelandic registration — brand-new and imported-used. The flow into the fleet. | year / month / new-vs-used slicers |
onroad |
#tolfraedi ("Tölfræði ökutækja") |
Current fleet on the road ("í umferð") — every vehicle with an active registration. The stock. | snapshot (no year) |
Four dimensions (--dimension)
Every report groups by the same four axes. Confusingly, the brand column is
named Tegund ("kind") in the model.
--dimension |
PB column (nyskr. / onroad) | Example values |
|---|---|---|
make |
Tegund |
TOYOTA, KIA, VOLKSWAGEN, BYD, TESLA, MG, XPENG, … |
fuel |
Orkugjafi / Orkugjafi (groups) |
Bensín, Dísel, Rafmagn (electric), Tengiltvinn (PHEV), Hybrid, Metan, Vetni, Vélarlaus (engineless=trailers), Annað |
class |
Ökutækisflokkur / Ökutækjaflokkur |
Fólksbifreið M1, Sendibifreið N1, Vörubifreið N2/N3, Hópbifreið M2/M3, bifhjól, dráttarvél, eftirvagn, torfæruhjól, … |
model |
Undirtegund |
MODEL Y, DUSTER, ID.4, RAV4, YARIS, … (top ~1000) |
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 · 185 lines · 42 tokens per session scan A 0014aded1b37
samgongustofa is a skill published in the GitHub repository jokull/icelandic-data (52 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 2,553 once invoked, about $0.0002 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 2026-08-30.
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