cloud-checkup SKILL.md skillA

cloud-checkup from jpantsjoha/ai-native-developer-experience is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jpantsjoha/ai-native-developer-experience/cloud-checkup@git:20260914.1704508

Pins git:20260914.1704508 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jpantsjoha/ai-native-developer-experience
Path
skills/cloud-checkup/SKILL.md
Versions recorded
2
Latest version
git:20260914.1704508, committed Sep 14, 2026
First version recorded
Sep 14, 2026
Size
10,206 bytes
Repository stars
13
License
Apache-2.0

Read-only SRE checkup of any GCP project: deterministic probes of the edge, Cloud Run services, 7-day error logs, Cloud Scheduler, alert policies and uptime checks, Secret Manager and IAM, the data stores and the machine's own scheduled jobs, audited into one fixed status table (LIVE / WARNING / RED / INCONCLUSIVE) with evidence, findings by severity, what could not be checked, and a single OVERALL line delivered as one notification. Parametrised by a per-project manifest, so the same routine…

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

# cloud-checkup

One routine, two entry points: in-session (you are the inspection layer) and headless
(scheduled or on demand). Both fill the same template, so two runs are comparable.

Read-only throughout. It never deploys, never mutates cloud state, never restarts or
unpauses anything.

## Three layers

| Layer | What it does | Survives without the next layer |
|---|---|---|
| 1. Deterministic probes | `scripts/cloud_checkup.sh`: curl, `gcloud ... describe`, `gcloud logging read`, scheduler, monitoring, secrets, IAM, local jobs. Writes a probes file. | Yes. The probes file is the artefact of record. |
| 2. Read-only inspection | Headless `claude -p` (or you, in session) reads the probes, queries the data stores, fills `templates/CHECKUP-TEMPLATE.md` into the report. | Yes. Without it the report is the probes file plus `OVERALL: INCONCLUSIVE`. |
| 3. One notification line | `scripts/notify.sh` posts the `OVERALL` verdict and the report path. | Yes. Suppressed with `CC_NO_NOTIFY=1`. |

Layer 1 exists so the routine still has value when the model is unavailable, rate-limited
or wrong. Never let layer 2 be the only thing that ran.

## Status legend

| Status | Rule |
|---|---|
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jpantsjoha/ai-native-developer-experience/cloud-checkup@sha256:4375a934bd48437f

The line at the top of this page pins the label git:20260914.1704508, 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_7xk343ah3dgoi3ic.svg)](https://markdownregistry.com/a/art_7xk343ah3dgoi3ic)

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

Versions

The registry has recorded 2 versions of this file, all committed on Sep 14, 2026.

versioncommittedcommitsizeaudit
git:20260914.1704508 latest2026-09-14 1704508 10,206 BA view · diff
git:20260914.0883cff2026-09-14 0883cff 9,870 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 (10206 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

jpantsjoha/ai-native-developer-experience · 13 stars · license Apache-2.0 · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7xk343ah3dgoi3ic
GET https://markdownregistry.com/api/v1/resolve?ref=jpantsjoha/ai-native-developer-experience/cloud-checkup
GET https://markdownregistry.com/api/v1/blob/4375a934bd48437f816987d5682d2ebb3db05c65b75133b4e2781e2b2acc5650

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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