jev-job-search
Find software internships and new-grad jobs, fill the application forms, check every answer on the page, and send the ones you approve. JEV decides, code acts, Claude writes. Runs on your machine with Claude Code.
Runssource: GitHubTypeScriptMITcommit 6311a3997e8b
TypeScript, MIT licensed. The project labels itself: browser automation, claude, claude code, claude skills, cover letter, internships, jev and job application.
jev-job-search runs. An Argusic agent installed it in 0.5 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
The project installs and builds on Node.js v22.23.4; 420 unit/integration tests pass covering CLI commands, form mapping, job filtering, CSV, dates, caching, memory, mail, accounts, knowledge, documents, JEV client, pacing, templates, and more, only the 6 browser-level tests are skipped due to Chrome being unavailable in this Linux container.
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. 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 installed but project requires >=220.5 minutes
- Google Chrome not found — this is a macOS-only tool that needs Chrome for browser tests
- Install time
- under a minute
- Cold machine to finish
- 2 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- How the result was proved
- npx vitest run: 30 test files passed, 420 tests passed, 2 files skipped (6 tests, browser-only without Chrome), exit 0
- Model tokens used
- 49,938
- Exact commit tested
- 6311a3997e8b
- 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 1, run , the attempt that decided the verdict above. 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.
✓ tests/cost.test.ts (3 tests) 9ms
✓ tests/pageState.test.ts (1 test) 7ms
↓ tests/authPage.browser.test.ts (5 tests | 5 skipped)
↓ tests/reportPage.browser.test.ts (1 test | 1 skipped)
Test Files 30 passed | 2 skipped (32)
Tests 420 passed | 6 skipped (426)
Start at 07:28:30
Duration 7.34s (transform 1.67s, setup 0ms, collect 4.79s, tests 5.62s, environment 9ms, prepar…
All verified. Here's my report:
tokens used
49,938
All verified. Here's my report: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 0.5 minutes, faster than the median of the 12 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.
- 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
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 13 browser-automation projects Argusic has installed and timed, jev-job-search was the 1st fastest to reach a running state, and 12 of 13 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 0.5 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
Topics (from GitHub)
browser-automationclaudeclaude-codeclaude-skillscover-letterinternshipsjevjob-applicationjob-searchnew-gradresumeskillstypescript
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/jev-job-search)Questions
- Does jev-job-search run?
- Yes. jev-job-search runs. Argusic installed and launched it on a clean machine in 1 minutes, hitting 2 errors on the way, and recorded the session.
- How did Argusic test jev-job-search?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 6311a3997e8b. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test jev-job-search?
- 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 jev-job-search take to install?
- 0.5 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 jev-job-search need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing jev-job-search?
- 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 jev-job-search compare with the alternatives?
- Of the 13 browser-automation projects Argusic has installed and timed, jev-job-search was the 1st fastest to reach a running state, and 12 of 13 reached one at all.
- Where is the evidence for jev-job-search?
- 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.