Borrowing it
Nothing to install: this file belongs to EXboys/skilllite. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EXboys/skilllite/main/.skills/_evolved/check-weather-forecast/SKILL.mdgit clone --depth 1 https://github.com/EXboys/skillliteWrote 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/exboys/skilllite/check-weather-forecast)<a href="https://agentmods.dev/skills/exboys/skilllite/check-weather-forecast"><img src="https://agentmods.dev/badge/skills/exboys/skilllite/check-weather-forecast/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/exboys/skilllite/check-weather-forecast"><img src="https://agentmods.dev/badge/skills/exboys/skilllite/check-weather-forecast.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.00503 |
| Opus 5 | $0.00027 | $0.00251 |
| Sonnet 5 | $0.00011 | $0.00101 |
| Haiku 4.5 | $0.00005 | $0.00050 |
Grade A, and why
check-weather-forecast 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 10d 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.
What it actually says
Skill: check-weather-forecast
查询指定城市未来几天的天气预报（明天、后天等）。与 weather 互补：weather 仅提供实时天气，本 Skill 支持预报。
scripts/main.py
查询指定城市未来几天的天气预报。该脚本通过标准输入接收 JSON 参数，并输出 JSON 格式的天气预报结果。
Input Schema
| 参数名 | 类型 | 描述 | 默认值 |
|---|---|---|---|
city |
string | 城市名称 | "深圳" |
day_offset |
integer | 0=今天，1=明天，2=后天，最多7天 | 1 |
Output Schema
{
"city": "深圳",
"date": "2026-03-03",
"weather": "多云",
"high": "28°C",
"low": "21°C",
"day_offset": 1,
"source": "wttr.in",
"success": true
}
Usage
要运行 scripts/main.py，请通过标准输入提供 JSON 数据。
echo '{"city": "北京", "day_offset": 2}' | python3 scripts/main.py
Examples
Example 1: 查询深圳明天的天气
Input:
{
"city": "深圳",
"day_offset": 1
}
Output (示例，实际结果可能因时间而异):
{
"city": "深圳",
"date": "2024-07-20",
"weather": "多云",
"high": "32°C",
"low": "26°C",
"day_offset": 1,
"source": "wttr.in",
"success": true
}
What ships with it
2 files 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.
- 10d ago First seen · 76 lines · 54 tokens per session scan A d33cf4a1c332
check-weather-forecast is a skill published in the GitHub repository EXboys/skilllite (167 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 503 once invoked, about $0.0003 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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