azure-skills
Official agent plugin providing skills and MCP server configurations for Azure scenarios.
Could not verifysource: GitHubShellMITcommit bff93703c0b9
Shell, MIT licensed. The project labels itself: agent skills.
Argusic could not get azure-skills running. An Argusic agent installed it in 2 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Landing page builds with 0 errors and serves HTTP 200; all JSON metadata files validate; all 56 SKILL.md files are present; npm dependencies install cleanly with node 22
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 80 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- Node.js v18.19.1 not supported by Astro v7 (requires >=22.12.0)1 minute
- rolldown native binding missing: @rolldown/binding-linux-x64-gnu not found after node 18 reinstall1 minute
- Install time
- 2 minutes
- Cold machine to finish
- 4 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- How the result was proved
- cd landing-page && npm run build -> 0 errors, 0 warnings, 1 page built; astro dev server started and curl -s -o /dev/null -w '%{http_code}' http://127.0.0.1:4321/azure-skills/ returned 200
- Model tokens used
- 43,715
- Exact commit tested
- bff93703c0b9
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Whether it works at all
- this run verified nothing, so this page makes no claim either way
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
2. Rolldown native binding missing → cleaned and reinstalled dependencies with correct Node version **Verified**: Landing page builds with 0 errors and serves HTTP 200 on the dev server. No test suit… The ARGUSIC_RESULT line has been printed above. tokens used 43,715 I completed the install and verification of this repository. Here's a summary of what happened: **Installed**: Dependencies installed cleanly with Node.js 22 (upgraded from bundled 18). All JSON … **Two errors encountered and fixed**: 1. Node.js 18 → upgraded to 22.23.3 via `n` package manager 2. Rolldown native binding missing → cleaned and reinstalled dependencies with correct Node version **Verified**: Landing page builds with 0 errors and serves HTTP 200 on the dev server. No test suit… The ARGUSIC_RESULT line has been printed above.
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Installed in 2 minutes, faster than the median of the 40 comparable projects Argusic has measured.
- Recovered from all 2 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
What did not, or is not known
- An agent with no time limit did not get it running.
Of the 41 agent-skills projects Argusic has installed and timed, azure-skills was the 15th fastest to reach a running state, and 29 of 41 reached one at all.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Unverified | 80.00 | 0.03 | |
| Argusic Runner | 1/3 | Unverified | 80.00 | 0.10 |
Topics (from GitHub)
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/azure-skills)Questions
- Does azure-skills run?
- Argusic could not verify that azure-skills runs. Argusic installed and launched it on a clean machine in 2 minutes, hitting 2 errors on the way, and recorded the session.
- How did Argusic test azure-skills?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit bff93703c0b9. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test azure-skills?
- The run that produced this verdict cost $0.03: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does azure-skills take to install?
- 2 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does azure-skills need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing azure-skills?
- 2 things broke in the recorded run, and 2 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does azure-skills compare with the alternatives?
- Of the 41 agent-skills projects Argusic has installed and timed, azure-skills was the 15th fastest to reach a running state, and 29 of 41 reached one at all.
- Where is the evidence for azure-skills?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.