ShopifyAutoAuth
Enterprise-grade Shopify Admin API authentication adapter, OAuth 2.0 Client Credentials Grant with automatic token refresh.
Runssource: GitHubPythonMITcommit af75a4e20b2e
Python, MIT licensed. The project labels itself: authentication, client credentials, httpx, oauth2, pypi package, python, shopify and shopify api.
ShopifyAutoAuth runs. An Argusic agent installed it in 2 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.
shopify_auth_adapter package installs cleanly from source, imports correctly, builds both sdist and wheel, and all 19 unit and integration tests pass with mocked Shopify endpoints using respx.
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 96 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page. 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.
- Install time
- 2 minutes
- Cold machine to finish
- under a minute
- Errors hit and fixed
- 0 hit, 0 fixed with no human help
- How the result was proved
- .venv/bin/python -m pytest --cov=shopify_auth_adapter --cov-report=term-missing -v returned 19 passed, 0 failed in 0.59s with 82% coverage
- Model tokens used
- 44,367
- Exact commit tested
- af75a4e20b2e
- 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
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
src/shopify_auth_adapter/client/client.py 78 20 74% 76, 80, 84, 88, 100, 112, 144-1… src/shopify_auth_adapter/core/__init__.py 5 0 100% src/shopify_auth_adapter/core/config.py 40 0 100% src/shopify_auth_adapter/core/constants.py 7 0 100% src/shopify_auth_adapter/core/exceptions.py 10 0 100% src/shopify_auth_adapter/core/protocols.py 15 0 100% TOTAL 413 75 82% ============================== 19 passed in 0.59s ============================== All 19 tests pass with 82% coverage. The missing coverage is on edge-case error handlers and LiveTo… tokens used 44,367 All 19 tests pass with 82% coverage. The missing coverage is on edge-case error handlers and LiveTo…
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
- Reached a running state on a clean machine, with the session recorded.
- Installed in 2 minutes.
- Nothing broke on the way: zero errors between clone and running.
- Ran without a GPU, so it does not need one to start.
- Licensed MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
- A quick evaluation: it was running 2 minutes after the clone.
- Following its own README: the documented path worked with nothing to fix.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Runs | 100.00 | 0.02 | |
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.04 |
Topics (from GitHub)
authenticationclient-credentialshttpxoauth2pypi-packagepythonshopifyshopify-apishopify-app
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/shopifyautoauth)Questions
- Does ShopifyAutoAuth run?
- Yes. ShopifyAutoAuth runs. Argusic installed and launched it on a clean machine in 2 minutes, hitting 0 errors on the way, and recorded the session.
- How did Argusic test ShopifyAutoAuth?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit af75a4e20b2e. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test ShopifyAutoAuth?
- The run that produced this verdict cost $0.02: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does ShopifyAutoAuth 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 ShopifyAutoAuth need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing ShopifyAutoAuth?
- Nothing did, in the recorded run: zero errors between clone and running.
- Where is the evidence for ShopifyAutoAuth?
- 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.