akl-rainfall SKILL.md skillA
akl-rainfall from thecolab-ai/.skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add thecolab-ai/.skills/akl-rainfall@git:20261008.bd95bd6Pins git:20261008.bd95bd6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- thecolab-ai/.skills
- Path
skills/akl-rainfall/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261008.bd95bd6, committed Oct 8, 2026
- Size
- 7,288 bytes
- Repository stars
- 33
- License
- MIT
Query Auckland Council rainfall gauges and river or stream levels and flows. Use for Auckland monitoring sites, observed rainfall or water-level time series, and latest rainfall with spatial filters.
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
# Auckland rainfall and rivers Use the stdlib Python CLI in `scripts/cli.py` to query Auckland Council's Environment Auckland AQUARIUS WebPortal. Site discovery and JSON exports work without a login, API key, cookies or browser. ## Workflow 1. Find gauges with `sites`, selecting rainfall, river/stream level or flow. 2. Copy the site's `site` identifier into `series` and choose a date window. 3. Use `latest` for each rainfall gauge's most recent non-null increment within the last 72 hours. Inspect observation time, age and quality before using it. ```bash python3 skills/akl-rainfall/scripts/cli.py sites --parameter rainfall --json python3 skills/akl-rainfall/scripts/cli.py sites --parameter level --bbox '174.8,-37.1,175.0,-36.9' --format geojson --json python3 skills/akl-rainfall/scripts/cli.py series --site 649940 --parameter rainfall --from 2026-10-07 --to 2026-10-08 --interval hour --json python3 skills/akl-rainfall/scripts/cli.py series --site 43803 --parameter level --from 2026-10-07 --to 2026-10-08 --json python3 skills/akl-rainfall/scripts/cli.py series --site 43803 --parameter flow --from 2026-10-07 --to 2026-10-08 --interval day --json …
Read the whole file at its exact version.
How to install
mdr add thecolab-ai/.skills/akl-rainfall@sha256:82ccfa411fe9b5efThe line at the top of this page pins the label git:20261008.bd95bd6, 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.
[](https://markdownregistry.com/a/art_sz4sn2i3oa4eluzm)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 8, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7288 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
thecolab-ai/.skills · 33 stars · license MIT · pushed 2026-10-12 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sz4sn2i3oa4eluzm GET https://markdownregistry.com/api/v1/resolve?ref=thecolab-ai/.skills/akl-rainfall GET https://markdownregistry.com/api/v1/blob/82ccfa411fe9b5ef0981863f8a449eadb6d69a1cd7dcb820d54b7e6daee96a46
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.