replica-skill
Eleven free Claude skills that clone any app: reverse-engineer it, rebuild it, test it for bugs, then fix what its users hate. Free, MIT.
Runssource: GitHubhomepagePythonMITcommit 77c9436fb3d1
Python, MIT licensed. The project labels itself: agent, agent skills, app clone, claude, claude code, claude skills, indie hacker and reverse engineering.
replica-skill runs. An Argusic agent installed it in 8 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.
The repo works from a fresh checkout: the install command copies all 11 skills into ~/.claude/skills, 57 unit tests pass, and every shipped Python tool (contrast, parity, imgdiff, reviews, sweep, listing) ran successfully on real inputs, with imgdiff diff PNGs fully decoding and sweep/listing exit codes matching the documented contract.
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
- 8 minutes
- Cold machine to finish
- 2 minutes
- Errors hit and fixed
- 0 hit, 0 fixed with no human help
- How the result was proved
- python3 -m unittest discover -s tests -v -> Ran 57 tests OK; python3 replica-design/contrast.py replica-design/tokens.json -> exit 0, 9 pairs 0 failing AA; python3 replica-diff/imgdiff.py original.png clone_same.png -> LAYOUT 100.0 MATCHES; clone_diff.png -> 5.3 DIFFERENT; python3 replica-launch/listing.py listing.example.json --avoid ... -> 0 errors 1 warning exit 0; python3 replica-brand/sweep.py /tmp/clean ... -> Clean. exit 0 and violations exit 1; python3 replica-entrepreneur/reviews.py -> wrote report exit 0; installed ~/.claude/skills/replica-diff/parity.py -> feature_score 0.0 must_have_done 0/9 counted 17.
- Model tokens used
- 68,094
- Exact commit tested
- 77c9436fb3d1
- 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.
A note I'll include: `reviews.py` printed an unsourced row ("no url column value") in the "Read the…
tokens used
68,094
Installed-copy tool runs correctly. Since this is a Claude skills repo, the equivalent of a brand-n…
- `unittest discover -s tests -v`: 57 tests, OK, 0.51s
- `contrast.py tokens.json`: exit 0, 9 pairs, 0 failing AA
- `imgdiff.py`: 100.0 MATCHES on same layout/diff color; 5.3 DIFFERENT on shifted layout; all PNG o…
- `reviews.py`: report written, themes/missing-link handling as designed
- `sweep.py`: 14 hits exit 1 on repo (expected — "Original App" is the placeholder); clean dir exit…
- `listing.py`: 0 errors, 1 warning, exit 0
- README install command (`cp -r replica-* ~/.claude/skills/`) works; 11 skill folders copied
A note I'll include: `reviews.py` printed an unsourced row ("no url column value") in the "Read the…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 8 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.
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 114 agent projects Argusic has installed and timed, replica-skill was the 53rd fastest to reach a running state, and 74 of 114 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 8 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)
agentagent-skillsapp-cloneclaudeclaude-codeclaude-skillsindie-hackerreverse-engineeringsaas
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/replica-skill)Questions
- Does replica-skill run?
- Yes. replica-skill runs. Argusic installed and launched it on a clean machine in 8 minutes, hitting 0 errors on the way, and recorded the session.
- How did Argusic test replica-skill?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 77c9436fb3d1. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test replica-skill?
- 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 replica-skill take to install?
- 8 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 replica-skill need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing replica-skill?
- Nothing did, in the recorded run: zero errors between clone and running.
- How does replica-skill compare with the alternatives?
- Of the 114 agent projects Argusic has installed and timed, replica-skill was the 53rd fastest to reach a running state, and 74 of 114 reached one at all.
- Where is the evidence for replica-skill?
- 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.