flood-detection SKILL.md skillA

flood-detection from benchflow-ai/benchflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add benchflow-ai/benchflow/flood-detection@git:20260610.e2a435f

Pins git:20260610.e2a435f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
benchflow-ai/benchflow
Path
tests/fixtures/skillsbench_slice/flood-risk-analysis/environment/skills/flood-detection/SKILL.md
Versions recorded
1
Latest version
git:20260610.e2a435f, committed Jun 10, 2026
Size
3,688 bytes
Repository stars
359
License
Apache-2.0

Detect flood events by comparing water levels to thresholds. Use when determining if flooding occurred, counting flood days, aggregating instantaneous data to daily values, or classifying flood severity.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Flood Detection Guide

## Overview

Flood detection involves comparing observed water levels against established flood stage thresholds. This guide covers how to process water level data and identify flood events.

## Flood Stage Definition

According to the National Weather Service, flood stage is the water level at which overflow of the natural banks begins to cause damage. A flood event occurs when:
```
water_level >= flood_stage_threshold
```

## Aggregating Instantaneous Data to Daily

USGS instantaneous data is recorded at ~15-minute intervals. For flood detection, aggregate to daily maximum:
```python
# df is DataFrame from nwis.get_iv() with datetime index
# gage_col is the column name containing water levels

daily_max = df[gage_col].resample('D').max()
```

### Why Daily Maximum?

| Aggregation | Use Case |
|-------------|----------|
| `max()` | Flood detection - captures peak water level |
| `mean()` | Long-term trends - may miss short flood peaks |
| `min()` | Low flow analysis |

## Detecting Flood Days

Compare daily maximum water level against flood threshold:
```python
flood_threshold = <threshold_from_nws>  # feet

# Count days with flooding
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add benchflow-ai/benchflow/flood-detection@sha256:14e55948af7ac9e9

The line at the top of this page pins the label git:20260610.e2a435f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_oyqkjntffow7us7m.svg)](https://markdownregistry.com/a/art_oyqkjntffow7us7m)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 10, 2026.

versioncommittedcommitsizeaudit
git:20260610.e2a435f latest2026-06-10 e2a435f 3,688 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3688 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

benchflow-ai/benchflow · 359 stars · license Apache-2.0 · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_oyqkjntffow7us7m
GET https://markdownregistry.com/api/v1/resolve?ref=benchflow-ai/benchflow/flood-detection
GET https://markdownregistry.com/api/v1/blob/14e55948af7ac9e90e039985d116fbc2c605f12bb3996c8b49d52167ddf4696d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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