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 agentmods add skills/kdaip/echobot/weathernpx skills add KdaiP/EchoBot --skill weathergit clone --depth 1 https://github.com/KdaiP/EchoBotWrote 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/kdaip/echobot/weather)<a href="https://agentmods.dev/skills/kdaip/echobot/weather"><img src="https://agentmods.dev/badge/skills/kdaip/echobot/weather.svg" alt="Measured on agentmods" 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 | $0.00090 | $0.01283 |
| Opus 5 | $0.00045 | $0.00642 |
| Sonnet 5 | $0.00018 | $0.00257 |
| Haiku 4.5 | $0.00009 | $0.00128 |
Grade A, and why
weather 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 4d 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.
- Linux / macOS / Git Bash → `curl` How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weather
Fetch and display current weather and forecasts — no API key required.
Decision flow
- Identify the location from the user's request.
- If the user says "here", "my location", or gives no city, ask for the city name.
- URL-encode spaces:
New+York,São+Paulo. - Airport codes work:
JFK,LHR,NRT.
- Detect the platform (or infer from context):
- Linux / macOS / Git Bash →
curl - Windows PowerShell →
curl.exe(barecurlmaps toInvoke-WebRequestand may fail)
- Linux / macOS / Git Bash →
- Choose the format based on what the user wants:
- Quick one-liner →
format=3 - More detail (humidity, wind) → custom format string
- Full 3-day forecast →
?Tflag - Structured data / calculations → Open-Meteo JSON (see below)
- Quick one-liner →
wttr.in — primary source
One-line summary (default for most queries)
# Linux / macOS
curl -fsSL "https://wttr.in/London?format=3"
# → London: ⛅️ +8°C
# Windows PowerShell
curl.exe -s "https://wttr.in/London?format=3"
Compact with humidity and wind
# Linux / macOS
curl -fsSL "https://wttr.in/London?format=%l:+%c+%t+%h+%w"
# → London: ⛅️ +8°C 71% ↙5km/h
# Windows PowerShell
curl.exe -s "https://wttr.in/London?format=%l:+%c+%t+%h+%w"
Full 3-day forecast (plain text, renders as a table)
curl -fsSL "https://wttr.in/London?T" # Linux
curl.exe -s "https://wttr.in/London?T" # Windows
Current conditions only (no forecast days)
curl -fsSL "https://wttr.in/London?0" # Linux
curl.exe -s "https://wttr.in/London?0" # Windows
Units
Append to the URL query string:
| Suffix | Unit system |
|---|---|
?m |
Metric (°C, km/h) |
?u |
US customary (°F, mph) |
?M |
Metric with m/s wind |
| (none) | Auto-detected by IP |
Format codes (for custom format= strings)
| Code | Meaning |
|---|---|
%c |
Condition icon |
%t |
Temperature |
%f |
Feels-like |
%h |
Humidity |
%w |
Wind |
%p |
Precipitation |
%P |
Pressure |
%l |
Location name |
%m |
Moon phase |
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.
- 4d ago First seen · 140 lines · 90 tokens per session scan A 66ab7b5de8d4
weather is a skill published in the GitHub repository KdaiP/EchoBot (629 stars, last pushed 18d ago), licensed MIT. It adds 90 tokens to every session and 1,283 once invoked, about $0.0005 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 2026-08-30.
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