npkill
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Runssource: GitHubhomepageTypeScriptMITcommit 2dad63647fdd
TypeScript, MIT licensed. The project labels itself: cli, command line, developer tools, hacktoberfest, javascript, module, node and nodejs.
npkill runs. An Argusic agent installed it in 0.3 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.
npm install completes, TypeScript compiles cleanly, 236/236 unit tests pass, and the npkill CLI binary runs (version 0.12.2, help text, and JSON scan mode all verified)
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 100 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.
- Install time
- under a minute
- Cold machine to finish
- 2 minutes
- Errors hit and fixed
- 0 hit, 0 fixed with no human help
- How the result was proved
- npm test exited 0, 236 passed, 12 skipped, 19 of 21 suites passed; node lib/index.js --version returned v0.12.2; node lib/index.js --help printed full usage; node lib/index.js -d /tmp --json exited 0 with valid JSON output
- Model tokens used
- 35,652
- Exact commit tested
- 2dad63647fdd
- 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
Watch the session
The whole run, from a clean machine, at the speed it actually happened. Nothing is cut and nothing is sped up.
A recording of attempt 2, run . The verdict above comes from a different attempt, so read this as one session and not as the current result. The terminal recording it was made from is the evidence, stored with a sha256 fingerprint; the video is a rendering of it. Nothing loads from the video host until you press play.
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
{
"install_succeeded": true,
"launch_succeeded": true,
"install_minutes": 0.3,
"errors": [],
"test_depth": "tier1_real",
"notes": "npm install (18s), tsc build (5s), and all 236 tests passed with 0 failures. Node v18.1…
"verified_how": "npm test exited 0, 236 passed, 12 skipped, 19 of 21 suites passed; node lib/inde…
"final_state": "npm install completes, TypeScript compiles cleanly, 236/236 unit tests pass, and …
}
tokens used
35,652Replay 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 0.3 minutes, faster than the median of the 123 comparable projects Argusic has measured.
- 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 3 times, so the result is not a one-off.
Of the 124 cli projects Argusic has installed and timed, npkill was the 5th fastest to reach a running state, and 111 of 124 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 0.3 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
Topics (from GitHub)
clicommand-linedeveloper-toolshacktoberfestjavascriptmodulenodenodejsnpmtooltypescript
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/npkill)Questions
- Does npkill run?
- Yes. npkill runs. Argusic installed and launched it on a clean machine in 0 minutes, hitting 0 errors on the way, and recorded the session.
- How did Argusic test npkill?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 2dad63647fdd. 3 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test npkill?
- The run that produced this verdict cost $0.01: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does npkill take to install?
- 0.3 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 npkill need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing npkill?
- Nothing did, in the recorded run: zero errors between clone and running.
- How does npkill compare with the alternatives?
- Of the 124 cli projects Argusic has installed and timed, npkill was the 5th fastest to reach a running state, and 111 of 124 reached one at all.
- Where is the evidence for npkill?
- All 3 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.