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/ericwang915/pythonclaw/weathernpx skills add ericwang915/PythonClaw --skill weathergit clone --depth 1 https://github.com/ericwang915/PythonClawWhat 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 | $0.00059 | $0.00570 |
| Opus 5 | $0.00030 | $0.00285 |
| Sonnet 5 | $0.00012 | $0.00114 |
| Haiku 4.5 | $0.00006 | $0.00057 |
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 2d 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.
Fetch current weather and forecasts via Open-Meteo (Python script) or wttr.in (curl). What it actually says
Weather Skill
Fetch current weather and forecasts via Open-Meteo (Python script) or wttr.in (curl).
When to Use
✅ USE this skill when:
- "What's the weather in Tokyo?"
- "Will it rain in London today?"
- "5-day forecast for New York"
- "Temperature and wind in Paris"
- "Is it snowing in Boston?"
- User asks about temperature, humidity, wind, precipitation, or conditions for any place
When NOT to Use
❌ DON'T use this skill when:
- Historical weather data → use specialized historical APIs
- Severe weather alerts or warnings → use official weather alert services
- Detailed meteorological analysis → use professional weather tools
Usage/Commands
Option A — Python script (Open-Meteo)
python {skill_path}/weather.py "City Name" [options]
Options:
--forecast 3— include N-day forecast (default: current only)--format json— output as JSON (default: human-readable text)--units imperial— use Fahrenheit/mph (default: metric)
Option B — wttr.in (curl, no Python needed)
# Current weather for a city
curl -s "wttr.in/CityName?format=%l%20%t%20%h%20%w%20%c"
# Human-readable output (default)
curl -s "wttr.in/CityName"
# JSON output
curl -s "wttr.in/CityName?format=j1"
# 3-day forecast
curl -s "wttr.in/CityName?2"
Examples
- "What's the weather in Tokyo?" →
python {skill_path}/weather.py "Tokyo"orcurl -s wttr.in/Tokyo - "5-day forecast for New York" →
python {skill_path}/weather.py "New York" --forecast 5 - "Weather in Paris in Fahrenheit" →
python {skill_path}/weather.py "Paris" --units imperial
Notes
- Open-Meteo geocodes city names and returns temperature, humidity, wind, condition, and precipitation
- wttr.in supports city names, airport codes, and lat/long in the URL path
- Both approaches are free and require no API key
What ships with it
1 file 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.
- 2d ago First seen · 69 lines · 59 tokens per session scan A f9b7df895c9a
weather is a skill published in the GitHub repository ericwang915/PythonClaw (41 stars, last pushed 24d ago), licensed MIT. It adds 59 tokens to every session and 570 once invoked, about $0.0003 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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