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 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/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/kdaip/echobot/weather"><img src="https://agentmods.dev/badge/skills/kdaip/echobot/weather.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 108 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 111 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 | $0.00090 | $0.01283 |
| Opus 5.5 | $0.00036 | $0.00513 |
| Sonnet 5.5 | $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 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.
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.
- 1mo ago First seen · 140 lines · 90 tokens per session scan A 66ab7b5de8d4
weather is a skill published in the GitHub repository KdaiP/EchoBot (649 stars, last pushed 2mo ago), licensed MIT. It adds 90 tokens to every session and 1,283 once invoked, about $0.0004 per session on Opus 5.5. 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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