gh-dash

A rich terminal UI for GitHub that doesn't break your flow.

Runs with mockssource: GitHubhomepageGoMITcommit 1b14dd961ea4

Go, MIT licensed. The project labels itself: bubbles, bubbletea, cli, cobra, gh extension, github, glamour and go.

gh-dash runs, with stand-ins for the services it depends on. An Argusic agent installed it in 5 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.

The gh-dash binary builds from source, runs on Linux amd64, prints help and version output, and passes all 243 unit tests across 19 Go packages.

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 92 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs with mocks
Argusic Score
92 / 100
cost of the verifying run
$0.18 (measured)
recorded runs
1
last tested
stars
12,581
forks
450
open issues
101
watchers
27
size
57 MB
created
last push

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.

Install time
5 minutes
Cold machine to finish
16 minutes
Errors hit and fixed
0 hit, 0 fixed with no human help
How the result was proved
go test ./... passed with 243 PASS, 0 FAIL; go build . produced a 33 MB gh-dash binary; ./gh-dash --help printed usage; ./gh-dash -v printed version
Model tokens used
569,280
Exact commit tested
1b14dd961ea4
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
Behaviour against real services
this run was verified against stand-in services only

The end of the recording

The last lines of the terminal session that decided this verdict, exactly as they were recorded.

Everything built and tested cleanly. Let me compose the final result
exec
/bin/sh -lc 'cd /work/repo && START_TIME=$(git log --all --oneline 2>/dev/null | head -1) ; echo "s…
 succeeded in 269ms:
start time info present: 0
---build ok---
ok    github.com/dlvhdr/gh-dash/v4/internal/utils  (cached)
---done---
All clear — the project builds, runs, and all 243 tests pass. Here's the result:
tokens used
569,280
All clear — the project builds, runs, and all 243 tests pass. Here's the result:

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 5 minutes.
  • Nothing broke on the way: zero errors between clone and running.
  • Licensed MIT, as reported by its host.

What did not, or is not known

  • Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
  • Measured once so far. A single attempt shows it can run, not that it runs reliably.

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 byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs with mocks92.000.18

Topics (from GitHub)

bubblesbubbleteaclicobragh-extensiongithubglamourgogolanglipglossterminaltui

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/gh-dash.svg)](https://argusic.com/subject/gh-dash)

Questions

Does gh-dash run?
gh-dash runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 5 minutes, hitting 0 errors on the way, and recorded the session.
How did Argusic test gh-dash?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 1b14dd961ea4. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test gh-dash?
The run that produced this verdict cost $0.18: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does gh-dash take to install?
5 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 gh-dash need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing gh-dash?
Nothing did, in the recorded run: zero errors between clone and running.
Where is the evidence for gh-dash?
The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion