Yes. showtime runs. Argusic installed and launched it on a clean machine in 3 minutes, hitting 5 errors on the way, and recorded the session.

How did Argusic test showtime?

On a fresh, disposable machine, with every command recorded and the repository pinned at commit 95c2394bf3e7. One attempt is recorded, and the full method is on the methodology page.

What did it cost to test showtime?

The run that produced this verdict cost $0.45: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.

How long does showtime take to install?

3 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 showtime need a GPU?

Not to start. Argusic reached a running state on a machine with no GPU.

What goes wrong when installing showtime?

5 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.

Where is the evidence for showtime?

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.

showtime

A local video studio for your coding agent. Describe a video in one sentence: your agent directs, your machine renders. Claude Code, Codex, Cursor, Devin and more. No API keys, no uploads.

Runssource: GitHub homepagePythonMITcommit 95c2394bf3e7

Python, MIT licensed. The project labels itself: agent skills, ai agents, captions, claude code, claude code plugin, claude skills, codex and cursor.

showtime runs. An Argusic agent installed it in 3 minutes and hit 5 errors on a clean machine with no GPU, and the whole session was recorded.

showtime 0.4.1 installed and working: creates and renders 1080p videos with audio, QA passes, MCP and preview servers respond, 80/82 test files pass.
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
Argusic Score: 92 / 100
cost of the verifying run: $0.45 (measured)
recorded runs: 1
last tested: 2026-10-26
stars: 289
forks: 25
open issues: 21
watchers: 1
size: 32 MB
created: 2026-09-28
last push: 2026-10-17

Subject data from GitHub, linked at the top of this page, refreshed 2026-10-25. 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.

Time lost to each failure while testing showtime, drawn from the recorded run — Every bar is a failure the agent recorded, with the time it cost. Drawn from this run, not from anywhere else.

What went wrong, in the agent's own words

The agent's own words, worst first, never rewritten into advice.

System ffmpeg 6.1.1 caused test_cards.py failure (ffmpeg overlay filter with setpts+trim + between)2 minutes
Missing uv (Python package manager)1 minute
Node.js 18 too old (needs 20+)1 minute
test_highlights.py: test asserts os.cpu_count()//4 (192//4=48) but app uses sched_getaffinity (4) -> 1 worker
test_render_speed.py: workers_why includes "; memory limit 7.5 GB of 755.0 GB" on 755 GB RAM machine

Install time: 3 minutes
Cold machine to finish: 58 minutes
Errors hit and fixed: 5 hit, 3 fixed with no human help
How the result was proved: showtime new dom -> render (15s 1080p) -> qa (verdict PASS), showtime check (PASS), ffmpeg -v error -i final.mp4 -f null - (no errors), MCP server init OK
Model tokens used: 931,032
Exact commit tested: 95c2394bf3e7
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.

    ],
    'test_depth': 'tier1_real',
    'notes': '80/82 tests pass. 2 environment-specific failures (CPU count, RAM amount). All core f…
    'verified_how': 'showtime new dom -> render -> qa: verdict PASS (0 fail), showtime check: PASS,…
    'final_state': 'showtime 0.4.1 is fully installed with all components, can create and render vi…
}
print(json.dumps(result))
\"" in /work/repo
 succeeded in 0ms:
{"install_succeeded": true, "launch_succeeded": true, "install_minutes": 3, "errors": [{"msg": "Mis…
tokens used
931,032

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 3 minutes.
Ran without a GPU, so it does not need one to start.
Licensed MIT, as reported by its host.

What did not, or is not known

Hit 5 errors during setup, 2 of which were not solved.
Measured once so far. A single attempt shows it can run, not that it runs reliably.

Of the 86 agent-skills projects Argusic has installed and timed, showtime was the 41st fastest to reach a running state, and 62 of 86 reached one at all.

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 3 minutes after the clone.

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	1/3	Runs	92.00	0.45	2026-10-26 05:45 UTC

Embed the badge

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

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

Questions

Does showtime run?: Yes. showtime runs. Argusic installed and launched it on a clean machine in 3 minutes, hitting 5 errors on the way, and recorded the session.
How did Argusic test showtime?: On a fresh, disposable machine, with every command recorded and the repository pinned at commit 95c2394bf3e7. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test showtime?: The run that produced this verdict cost $0.45: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does showtime take to install?: 3 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 showtime need a GPU?: Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing showtime?: 5 things broke in the recorded run, and 3 were fixed without human help. Each one, and the time it cost, is listed on this page.
How does showtime compare with the alternatives?: Of the 86 agent-skills projects Argusic has installed and timed, showtime was the 41st fastest to reach a running state, and 62 of 86 reached one at all.
Where is the evidence for showtime?: 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.