a2a-topics SKILL.md skillA

a2a-topics 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/a2a-topics@git:20261028.57900f1

Pins git:20261028.57900f1 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
a2a/persona/platform/skills/a2a-topics/SKILL.md
Versions recorded
3
Latest version
git:20261028.57900f1, committed Oct 28, 2026
First version recorded
Sep 11, 2026
Size
5,930 bytes
Repository stars
124
License
Apache-2.0

Read and write the agent blackboard - the durable, named topics on the A2A bus where agents publish what they currently know (upgrade readiness, topology skew, the environment blueprint, dated annotations). Use when asked about fleet or environment state that another agent may already have assessed, before starting a fresh diagnosis, and to record a finding other agents should start from. Do not use for task status (that is stream replay, not a topic), for anything not in `a2a topics list`, or…

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

# A2A topics: the standing state other agents left you

A topic is a durable, named place on the bus where one agent publishes what it
currently knows, so the next question starts from standing state instead of a
cold diagnosis. Tasks are conversations; topics are the blackboard.

Two things this skill exists to prevent. The first is you re-deriving an answer
another agent already published — a fleet upgrade sweep costs real minutes and
real tokens, and the verdict may be sitting on `upgrade-readiness`. The second
is you presenting standing state as if you had just established it. Every entry
carries who wrote it and when, and you relay both.

## Prerequisites

The bus address and identity come from the environment: `NATS_URL` and
`A2A_BUS_USER`. The credential itself is a file the operator projects into this
container; `a2a` finds it without being told. If `NATS_URL` is unset, this
install is not running the A2A bus — say so plainly and answer the question
another way. Do not attempt to guess an address.

The client is `a2a`, on `PATH` (`/usr/local/bin/a2a`, shipped in the agent
image alongside this skill). Because it is on `PATH` rather than at a
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add gke-labs/kube-agents/a2a-topics@sha256:01f98563404c5d94

The line at the top of this page pins the label git:20261028.57900f1, 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_akvvarktdzlauftt.svg)](https://markdownregistry.com/a/art_akvvarktdzlauftt)

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

Versions

The registry has recorded 3 versions of this file, between Sep 11, 2026 and Oct 28, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
git:20261028.57900f1 latest2026-10-28 57900f1 5,930 BA view · diff
git:20260918.965b6912026-09-18 965b691 5,915 BA view · diff
git:20260911.dfb14282026-09-11 dfb1428 5,814 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 (5930 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_akvvarktdzlauftt
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/a2a-topics
GET https://markdownregistry.com/api/v1/blob/01f98563404c5d9469ea6281d40b12d76ed827561ab53b4f7fcab1e997d307a3

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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