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 shlomsh/hermes-travel-skills --skill google_weathergit clone --depth 1 https://github.com/shlomsh/hermes-travel-skillsWrote 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/shlomsh/hermes-travel-skills/google_weather)<a href="https://agentmods.dev/skills/shlomsh/hermes-travel-skills/google_weather"><img src="https://agentmods.dev/badge/skills/shlomsh/hermes-travel-skills/google_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/shlomsh/hermes-travel-skills/google_weather"><img src="https://agentmods.dev/badge/skills/shlomsh/hermes-travel-skills/google_weather.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00018 | $0.00215 |
| Opus 5 | $0.00009 | $0.00108 |
| Sonnet 5 | $0.00004 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
google_weather 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 12d 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
Google Weather API Integration
Use this skill to fetch live weather conditions for any city, landmark, or location.
When to Use
- The user asks about the weather in a specific place (e.g., "What's the weather in Yosemite?").
- The user asks about temperature or whether to pack a coat/umbrella.
Usage
Run the script passing the location as arguments.
python google_weather.py lookup "Las Vegas"
Parsing the Output
The script automatically finds the GPS coordinates for the location and then fetches the live weather conditions, which are printed as JSON. Read the JSON output and provide a natural language summary to the user (e.g., "It's currently 75°F and sunny in Las Vegas!").
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.
- 12d ago First seen · 28 lines · 18 tokens per session scan A 05f6685bbc79
google_weather is a skill published in the GitHub repository shlomsh/hermes-travel-skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 215 once invoked, about $0.0001 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 2026-08-31.
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