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 jokull/icelandic-data --skill loftgaedigit clone --depth 1 https://github.com/jokull/icelandic-dataWrote 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/loftgaedi)<a href="https://agentmods.dev/skills/jokull/icelandic-data/loftgaedi"><img src="https://agentmods.dev/badge/skills/jokull/icelandic-data/loftgaedi.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 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 Data Exfiltration · line 12 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 71 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 86 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00037 | $0.01367 |
| Opus 5 | $0.00018 | $0.00683 |
| Sonnet 5 | $0.00007 | $0.00273 |
| Haiku 4.5 | $0.00004 | $0.00137 |
Grade A, and why
loftgaedi 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 8d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loftgæði (Air Quality) — UST / Reykjavik
PM10, PM2.5, NO2, SO2, H2S monitoring via Umhverfisstofnun (Environment Agency).
API
Base URL: https://api.ust.is/aq/a/
No authentication required. Returns JSON. CORS enabled.
Endpoints
| Endpoint | Description |
|---|---|
getStations |
All stations with coordinates, parameters, activity dates |
getStation/{local_id} |
Single station metadata |
getLatest |
Last 24h for all stations |
getCurrent/{local_id} |
Last 24h for one station |
getDate/date/{YYYY-MM-DD} |
All stations, all params, one day (hourly) |
Response Structure (getDate)
{
"STA-IS0005A": {
"name": "Reykjavik Grensas",
"local_id": "STA-IS0005A",
"parameters": {
"PM10": {
"unit": "µg/m3",
"resolution": "1h",
"0": { "endtime": "2024-03-15 23:00:00", "value": "42.5", "verification": 3 },
...
}
}
}
}
Values are strings — cast to float. Numbered keys (0, 1, ...) are hourly readings.
Key Reykjavik Stations
| Station | local_id | Type | Active |
|---|---|---|---|
| Grensásvegur | STA-IS0005A | traffic | 1990– |
| Húsdýragarðurinn | STA-IS0006A | background | 2002– |
| Norðlingaholt | STA-IS0022A | industrial | 2011– |
| Laugarnes | STA-IS0061A | industrial | 2021– |
Primary station for PM10/nagladekk (studded tire) analysis: Grensásvegur (traffic station on major road).
Pollutants
| Parameter | Relevance |
|---|---|
| PM10 | Spring dust from studded tires. EU 24h limit: 50 µg/m³ |
| PM2.5 | Fine particles. EU annual limit: 25 µg/m³ |
| NO2 | Traffic. EU 1h limit: 200 µg/m³ |
| H2S | Geothermal (Hellisheiði). Nuisance smell at 5 µg/m³ |
Fetching Historical Data
Bulk CSVs (preferred for past years)
Annual CSVs at https://api.ust.is/static/aq/ust_aq_timeseries_{YEAR}.csv (62-113 MB each).
- Available: 2015–2024 (no 2025 yet as of Feb 2026)
- Columns:
station_name, pollutantnotation, local_id, endtime, the_value, resolution, verification, validity, station_local_id, concentration - Date formats vary:
YYYY-MM-DD HH:MM:SS(2015-2021) andDD/MM/YYYY HH:MM:SS(2022+) - Filter:
station_local_id == "STA-IS0005A"andpollutantnotation == "PM10" - Sensor errors: filter
the_value < 2000(values >2000 are instrument faults)
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.
- 8d ago First seen · 128 lines · 37 tokens per session scan A 142b02f5ea93
loftgaedi is a skill published in the GitHub repository jokull/icelandic-data (52 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 1,367 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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