gce-compute-fleet-audit SKILL.md skillA

gce-compute-fleet-audit from gke-labs/kube-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add gke-labs/kube-agents/gce-compute-fleet-audit@git:20261015.07488f6

Pins git:20261015.07488f6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
gke-labs/kube-agents
Path
agents/platform/skills/gce-compute-fleet-audit/SKILL.md
Versions recorded
4
Latest version
git:20261015.07488f6, committed Oct 15, 2026
First version recorded
Sep 3, 2026
Size
2,399 bytes
Repository stars
124
License
Apache-2.0

Audits standalone GCE virtual machines, Managed Instance Groups (MIGs), serial console boot failures, sole-tenant node group headroom, and orphaned disk snapshots.

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

# Task

Audit standalone GCE virtual machines, Managed Instance Groups (MIGs), serial console boot failures, sole-tenant node group headroom, and orphaned disk snapshots, emitting findings for the `fleet-audit` reporting harness.

# Workflow

## 1. Open the Run, Then Execute Compute Inspection

Open the run first with the `fleet-audit` harness's `start` (SOP §0). `finish` refuses a manifest that finished before `start` did, as an earlier run's. Then call the platform_control `fleet_scope` tool (SOP §1) and run the compute fleet collector with its `collector_args`, which hand it the install's declared scope; an install that declares none passes nothing and the collector sweeps every project the identity can list. It writes a collector manifest to stdout:

```bash
python3 /opt/data/profiles/platform/skills/gce-compute-fleet-audit/scripts/compute_fleet_audit.py <collector_args from the fleet_scope tool, verbatim, or nothing on an install that declares no scope> > /opt/data/scratch/manifest_gce-compute-fleet-audit.json
```

## 2. Evaluate Findings Against SOP Checks
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add gke-labs/kube-agents/gce-compute-fleet-audit@sha256:6fb4a9ea392ddc98

The line at the top of this page pins the label git:20261015.07488f6, 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_zg2qpyp4ke75n3ai.svg)](https://markdownregistry.com/a/art_zg2qpyp4ke75n3ai)

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

Versions

The registry has recorded 4 versions of this file, between Sep 3, 2026 and Oct 15, 2026, about one every 14 days.

versioncommittedcommitsizeaudit
git:20261015.07488f6 latest2026-10-15 07488f6 2,399 BA view · diff
git:20261013.b98937e2026-10-13 b98937e 2,362 BA view · diff
git:20261008.53c285c2026-10-08 53c285c 2,049 BA view · diff
git:20260903.b8513fa2026-09-03 b8513fa 1,287 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 (2399 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

gke-labs/kube-agents · 124 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zg2qpyp4ke75n3ai
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gce-compute-fleet-audit
GET https://markdownregistry.com/api/v1/blob/6fb4a9ea392ddc987805ab28d445e2f370f7869d3fc7507f8d952613038643ae

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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