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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-plugin

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

62/100

Category

Other

Supported Platforms

Universal

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.

Substance
26/30
Structure
11/20
Description
15/15
Adoption
0/20
Freshness
11/15

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 found

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.

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.

SkillScoreStarsUpdatedFormat
hermes-weather-plugin (this skill)by FahrenheitResearch6207mo agoSKILL.md
taste-skillby Leonxlnx100102.7ktodayCLAUDE.md
LocalAIby mudler10050.0ktodayMCP Server
algorithmic-artby anthropics100177.9k33d agoSKILL.md
pptxby anthropics100177.9k33d agoSKILL.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.

name: 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

  1. Start lightweight. Use wx_conditions or wx_brief before heavier tools.
  2. Images only when asked. Don't call image tools unless the user wants to SEE something.
  3. US vs international. Use wx_global for non-US locations.
  4. Calculations are verified. wx_calc uses metrust — 205 Rust-backed functions verified against MetPy.
  5. Don't stack redundant calls. wx_brief already includes conditions + forecast + alerts.
  6. 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.
  7. Severe weather package. For severe weather analysis, use: var: "cape,helicity,uh,srh" — one call, 4 images.
  8. 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: 600 Use your geographic knowledge to pick appropriate center + radius.

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.

Related Skills

View on GitHub
GitHub Stars0
CategoryOther
Updated6mo ago
Forks0

Trust signals

74/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium2 low
hermes-weather-plugin — Universal Skill: Install & Safety Check | SkillAgent