hermes-weather-plugin
Hermes Agent weather plugin — NWS-grade model imagery, NEXRAD radar, and verified meteorological calculations. Pure Rust stack.
Install / Use
npx skills add FahrenheitResearch/hermes-weather-pluginInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OtherSupported Platforms
Our assessment of hermes-weather-plugin
hermes-weather-plugin scores 62/100 on our quality scale, 281st of 296 Other skills we index.
Its SKILL.md is 3.6 KB long, split into 6 sections and no code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-23 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 74/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
hermes-weather-plugin compared with similar skills
All 4 of these similar skills score higher than hermes-weather-plugin; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| hermes-weather-plugin (this skill)by FahrenheitResearch | 62 | 0 | 7mo ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 102.7k | today | CLAUDE.md |
| LocalAIby mudler | 100 | 50.0k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
Frequently asked questions
- How do I install hermes-weather-plugin?
- Run
npx skills add FahrenheitResearch/hermes-weather-plugin. The install tabs above show the steps for each supported agent. - Which AI agents does hermes-weather-plugin work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is hermes-weather-plugin safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 74/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is hermes-weather-plugin still maintained?
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubname: weather-plugin description: Guide for using the weather plugin — data queries, radar imagery, model maps, and meteorological calculations version: 2.0.0 metadata: hermes: tags: [weather, radar, forecast, meteorology] category: weather
Weather Plugin Usage Guide
You have 12 weather tools. Prefer lightweight data tools and only use images when asked.
Tool Selection
"How's the weather in [place]?" → wx_conditions
"What's the forecast?" → wx_forecast
"Any warnings/watches?" → wx_alerts
"Show me the radar" → wx_radar_image
"Show me CAPE/temperature/wind map" → wx_model_image (use comma-separated vars: "cape,helicity,uh,srh" for multiple in ONE call)
"What's the severe weather outlook?" → wx_severe
"Weather in Tokyo/London/etc" → wx_global (worldwide)
"Calculate dewpoint/wind chill/LCL" → wx_calc
"Is there a tornado threat?" → wx_severe first, then wx_model_image --var cape or --var helicity for visual
"What does the HRRR show?" → wx_model_image with appropriate var
"Show me the 18z HRRR" → wx_model_image with cycle: 18
"Sounding at a point" → wx_sounding
IMPORTANT: Only these 12 tools exist
wx_conditions, wx_forecast, wx_alerts, wx_metar, wx_brief, wx_global, wx_severe, wx_radar_image, wx_model_image, wx_storm_image, wx_calc, wx_sounding
Do NOT try to call any other tool names.
Rules
- Start lightweight. Use
wx_conditionsorwx_briefbefore heavier tools. - Images only when asked. Don't call image tools unless the user wants to SEE something.
- US vs international. Use
wx_globalfor non-US locations. - Calculations are verified.
wx_calcuses metrust — 205 Rust-backed functions verified against MetPy. - Don't stack redundant calls.
wx_briefalready includes conditions + forecast + alerts. - BATCH model images. NEVER call wx_model_image multiple times for different variables. Use comma-separated vars in ONE call:
"cape,helicity,uh,srh". This generates all images at once. - Severe weather package. For severe weather analysis, use:
var: "cape,helicity,uh,srh"— one call, 4 images. - ZOOM to threat area. When the user asks about a specific region (e.g., "Indiana to New York"), ALWAYS pass lat/lon and radius_km to zoom in. Don't show full CONUS when they asked about a corridor. Examples:
- "Ohio Valley" →
lat: 39.5, lon: -83, radius_km: 400 - "Indiana to New York" →
lat: 40.5, lon: -77, radius_km: 500 - "Texas" →
lat: 31.5, lon: -99, radius_km: 500 - "Southeast" →
lat: 33, lon: -85, radius_km: 600 - "Great Plains" →
lat: 38, lon: -99, radius_km: 600Use your geographic knowledge to pick appropriate center + radius.
- "Ohio Valley" →
wx_calc Examples
- Dewpoint:
{"function": "dewpoint_from_relative_humidity", "args": {"temperature": "30 degC", "relative_humidity": "65 percent"}} - Wind chill:
{"function": "wind_chill", "args": {"temperature": "-5 degC", "speed": "30 km/hr"}} - Heat index:
{"function": "heat_index", "args": {"temperature": "95 degF", "relative_humidity": "60 percent"}} - LCL:
{"function": "lcl", "args": {"pressure": "1000 hPa", "temperature": "30 degC", "dewpoint": "20 degC"}}
Image Tools
wx_radar_image and wx_model_image return PNG file paths in JSON.
For radar: provide NEXRAD site ID (KRTX=Portland, KTLX=OKC, KLOT=Chicago) or lat/lon. Default 1024px, 200km range, 10dBZ noise filter.
For model images: specify variable (cape, refl, temp, dewpoint, rh, gust, helicity, uh, precip, mslp, heights_500, jet, srh). Add lat/lon + radius_km to zoom. Use cycle parameter for specific model runs.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
