Weather
openclaw/openclaw
Current weather and forecasts with webfetch, falling back to wttr.in curl for locations, rain, temperature, travel planning.
Download flood stage thresholds from NWS (National Weather Service).
MITAuto-check passed
Install Nws Flood Thresholds
$ npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench nws-flood-thresholds --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds .claude/skills/nws-flood-thresholds && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nws-flood-thresholds" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds into .claude/skills/nws-flood-thresholds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nws-flood-thresholds", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholdsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench nws-flood-thresholds --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds .agents/skills/nws-flood-thresholds && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nws-flood-thresholds" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds into .agents/skills/nws-flood-thresholds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nws-flood-thresholds", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench nws-flood-thresholds --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds .cursor/skills/nws-flood-thresholds && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nws-flood-thresholds" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds into .cursor/skills/nws-flood-thresholds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nws-flood-thresholds", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench nws-flood-thresholds --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds .gemini/skills/nws-flood-thresholds && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nws-flood-thresholds" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds into .gemini/skills/nws-flood-thresholds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nws-flood-thresholds", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install benchflow-ai/skillsbench nws-flood-thresholdsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds .github/skills/nws-flood-thresholds && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nws-flood-thresholds" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds into .github/skills/nws-flood-thresholds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nws-flood-thresholds", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench nws-flood-thresholds --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds .opencode/skills/nws-flood-thresholds && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nws-flood-thresholds" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds into .opencode/skills/nws-flood-thresholds/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nws-flood-thresholds", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nws-flood-thresholds- GitHub stars
- 1.8k
- Token cost
- ~1k tokens
- SKILL.md length
- 313 words
- Files
- 1
- Skills in repo
- 189
- Repo updated
- First seen
- Licence
- MIT
At a glance
Download flood stage thresholds from NWS (National Weather Service).
- Determining flood levels for USGS stations
- SKILL.md covers Overview, Data Sources, Flood Stage Categories and Downloading Bulk CSV, plus 7 more sections
- Reaches water.noaa.gov
- Accessing action/minor/moderate/major flood stages
What it does
Nws Flood Thresholds is an agent skill from benchflow-ai/skillsbench. Download flood stage thresholds from NWS (National Weather Service). Use when determining flood levels for USGS stations, accessing action/minor/moderate/major flood stages, or matching stations to their flood thresholds.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is MIT.
When your agent uses it
- Determining flood levels for USGS stations
- Accessing action/minor/moderate/major flood stages
- Matching stations to their flood thresholds
Example prompts
- “/nws-flood-thresholds”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
water.noaa.gov
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nws Flood Thresholds loads about 1k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 313 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its MIT licence (© benchflow-ai). 313 words, ~1,023 tokens.
Download SKILL.mdSave it as
.claude/skills/nws-flood-thresholds/SKILL.md (or your agent's skills folder).- name
- nws-flood-thresholds
- description
- Download flood stage thresholds from NWS (National Weather Service). Use when determining flood levels for USGS stations, accessing action/minor/moderate/major flood stages, or matching stations to their flood thresholds.
- license
- MIT
NWS Flood Thresholds Guide
Overview
The National Weather Service (NWS) maintains flood stage thresholds for thousands of stream gages across the United States. These thresholds define when water levels become hazardous.
Data Sources
Option 1: Bulk CSV Download (Recommended for Multiple Stations)
https://water.noaa.gov/resources/downloads/reports/nwps_all_gauges_report.csvOption 2: Individual Station Pages
https://water.noaa.gov/gauges/<station_id>Example: https://water.noaa.gov/gauges/04118105
Flood Stage Categories
| Category | CSV Column | Description |
|---|---|---|
| Action Stage | action stage | Water level requiring monitoring, preparation may be needed |
| Flood Stage (Minor) | flood stage | Minimal property damage, some public threat. Use this to determine if flooding occurred. |
| Moderate Flood Stage | moderate flood stage | Structure inundation, evacuations may be needed |
| Major Flood Stage | major flood stage | Extensive damage, significant evacuations required |
For general flood detection, use the flood stage column as the threshold.
Downloading Bulk CSV
import pandas as pd
import csv
import urllib.request
import io
nws_url = "https://water.noaa.gov/resources/downloads/reports/nwps_all_gauges_report.csv"
response = urllib.request.urlopen(nws_url)
content = response.read().decode('utf-8')
reader = csv.reader(io.StringIO(content))
headers = next(reader)
data = [row[:43] for row in reader] # Truncate to 43 columns
nws_df = pd.DataFrame(data, columns=headers)Important: CSV Column Mismatch
The NWS CSV has a known issue: header row has 43 columns but data rows have 44 columns. Always truncate data rows to match header count:
data = [row[:43] for row in reader]Key Columns
| Column Name | Description |
|---|---|
usgs id | USGS station ID (8-digit string) |
location name | Station name/location |
state | Two-letter state code |
action stage | Action threshold (feet) |
flood stage | Minor flood threshold (feet) |
moderate flood stage | Moderate flood threshold (feet) |
major flood stage | Major flood threshold (feet) |
Converting to Numeric
Threshold columns need conversion from strings:
nws_df['flood stage'] = pd.to_numeric(nws_df['flood stage'], errors='coerce')Filtering by State
# Get stations for a specific state
state_stations = nws_df[
(nws_df['state'] == '<STATE_CODE>') &
(nws_df['usgs id'].notna()) &
(nws_df['usgs id'] != '') &
(nws_df['flood stage'].notna()) &
(nws_df['flood stage'] != -9999)
]Matching Thresholds to Station IDs
# Build a dictionary of station thresholds
station_ids = ['<id_1>', '<id_2>', '<id_3>']
thresholds = {}
for _, row in nws_df.iterrows():
usgs_id = str(row['usgs id']).strip()
if usgs_id in station_ids:
thresholds[usgs_id] = {
'name': row['location name'],
'flood': row['flood stage']
}Common Issues
| Issue | Cause | Solution |
|---|---|---|
| Column mismatch error | CSV has 44 data columns but 43 headers | Truncate rows to 43 columns |
| Missing thresholds | Station not in NWS database | Skip station or use alternative source |
| Value is -9999 | No threshold defined | Filter out these values |
| Empty usgs id | NWS-only station | Filter by usgs id != '' |
Best Practices
- Always truncate CSV rows to match header count
- Convert threshold columns to numeric before comparison
- Filter out -9999 values (indicates no threshold defined)
- Match stations by USGS ID (8-digit string with leading zeros)
- Some stations may have flood stage but not action/moderate/major
© benchflow-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Nws Flood Thresholds next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nws Flood Thresholds this skillbenchflow-ai/skillsbench | 1.8k | — | ~1k | Automated safety check: Pass | MIT | |
| Weatheropenclaw/openclaw | 392k | — | ~726 | Automated safety check: Pass | MIT | |
| Weather Lookupsipeed/picoclaw | 30k | — | ~657 | Automated safety check: Pass | MIT | |
| Weatheriflytek/skillhub | 5.2k | — | ~734 | Automated safety check: Pass | MIT | |
| Weatheralsk1992/CloddsBot | 3k | — | ~567 | Automated safety check: Pass | MIT | |
| Video Downloadernexu-io/open-design | 100k | — | ~339 | Automated safety check: Pass | Apache-2.0 |
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Questions about Nws Flood Thresholds
What does Nws Flood Thresholds do?
Download flood stage thresholds from NWS (National Weather Service). Nws Flood Thresholds is an agent skill from benchflow-ai/skillsbench. Download flood stage thresholds from NWS (National Weather Service).
When should I use Nws Flood Thresholds?
Nws Flood Thresholds fits situations like: determining flood levels for USGS stations; accessing action/minor/moderate/major flood stages; matching stations to their flood thresholds.
How do I install Nws Flood Thresholds in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a claude-code`. Or copy the skill folder (tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds in benchflow-ai/skillsbench) into .claude/skills/nws-flood-thresholds in your project. Claude Code loads it when a task matches its description.
How do I install Nws Flood Thresholds in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a codex`. Or copy the skill folder (tasks/flood-risk-analysis/environment/skills/nws-flood-thresholds in benchflow-ai/skillsbench) into .agents/skills/nws-flood-thresholds in your project. Codex loads it when a task matches its description.
Can I use Nws Flood Thresholds in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill nws-flood-thresholds -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nws-flood-thresholds, .gemini/skills/nws-flood-thresholds, .github/skills/nws-flood-thresholds and .opencode/skills/nws-flood-thresholds in your project.
What does Nws Flood Thresholds need to run?
SKILL.md names no scripts, command-line tools or credentials: Nws Flood Thresholds is instructions for the agent only. Our summary lists: Python 3.
Does Nws Flood Thresholds access the network?
SKILL.md names 1 domain. In commands or code: water.noaa.gov; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Nws Flood Thresholds safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Nws Flood Thresholds use?
Nws Flood Thresholds is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nws Flood Thresholds use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Nws Flood Thresholds?
Skills that share tags, products or a category with Nws Flood Thresholds: Weather (openclaw/openclaw, 392k stars), Weather Lookup (sipeed/picoclaw, 30k stars), Weather (iflytek/skillhub, 5.2k stars) and Weather (alsk1992/CloddsBot, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nws Flood Thresholds?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,835 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.