WeatherSAFE
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Overview
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
59e883b22cc8OBSERVED · 2026-09-29What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: weather
description: Get current weather and forecasts (no API key required).
homepage: https://wttr.in/:help
metadata: {"nanobot":{"emoji":"🌤️","requires":{"bins":["curl"]}}}
---
# Weather
Two free services, no API keys needed.
## wttr.in (primary)
Choose one request that matches the user's scope. Do not fetch current
conditions separately when a today or forecast request already includes them.
Platform notes:
- On Windows PowerShell, use `curl.exe`; bare `curl` may resolve to
`Invoke-WebRequest`.
- On macOS and Linux, use `curl`.
Current conditions only:
```bash
curl -s "https://wttr.in/London?format=3"
# Output: London: ⛅️ +8°C
```
Custom current conditions format:
```bash
curl -s "https://wttr.in/London?format=%l:+%c+%t+%h+%w"
# Output: London: ⛅️ +8°C 71% ↙5km/h
```
Today's weather, including current conditions (use this single request for
questions about today's weather):
```bash
curl -s "https://wttr.in/London?1&m"
```
Full forecast:
```bash
curl -s "https://wttr.in/London?T&m"
```
On Windows PowerShell, replace `curl` with `curl.exe` in the commands above.
Format codes: `%c` condition · `%t` temp · `%h` humidity · `%w` wind · `%l` location · `%m` moon
Tips:
- URL-encode spaces: `wttr.in/New+York`
- Airport codes: `wttr.in/JFK`
- Units: `?m` (metric) `?u` (USCS)
- Today only: `?1` · Current only: `?0`
- PNG (macOS/Linux): `curl -s "https://wttr.in/Berlin.png" -o weather.png`
- PNG (Windows PowerShell): `curl.exe -s "https://wttr.in/Berlin.png" -o weather.png`
## Open-Meteo (fallback, JSON)
Free, no key, good for programmatic use:
```bash
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5&longitude=-0.12¤t_weather=true"
```
Find coordinates for a city, then query. Returns JSON with temp, windspeed, weathercode.
Docs: https://open-meteo.com/en/docsTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
59e883b22cc8full audit observations/trust-audit/skill/hkuds__weather.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-29 | 59e883b22cc8 | SAFE | B | 89 | first audit |
Questions
What does the Weather skill do?
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Is Weather safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Weather access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (59e883b22cc8), read on 2026-09-29. The repository is watched, and a new audit runs when it changes — this is the first audit.