nuwa-skill
你想蒸馏的下一个员工，何必是同事。蒸馏任何人的思维方式, 心智模型、决策启发式、表达DNA。Distill how anyone thinks.
Runs with mockssource: GitHubPythonMITcommit fe0374687037
Python, MIT licensed.
nuwa-skill runs, with stand-ins for the services it depends on. An Argusic agent installed it in 1 minute and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Nuwa-skill repository installed at ~/.codex/skills/nuwa-skill/ with all 15 example persona skills present, 3 reference documents, 4 verified utility scripts, project trusted in Codex CLI config, quality_check.py fixed for numbered-list sections and vs-pattern tensions
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 84.7 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.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- quality_check.py check_honest_boundary only counted `-`/`*` bullets, but examples use numbered lists (1., 2., ...) causing 13 false failures3 minutes
- quality_check.py check_tensions regex did not match `vs` separator used in tension items2 minutes
- Install time
- 1 minutes
- Cold machine to finish
- 11 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- How the result was proved
- python3 scripts/quality_check.py examples/*/SKILL.md -> 14/15 passed (exit 0), 1 expected fail; python3 scripts/merge_research.py examples/steve-jobs-perspective -> 118 sources, 134/244 primary; python3 scripts/srt_to_transcript.py /tmp/test.srt -> 66 chars converted; copy to ~/.codex/skills/nuwa-skill/ confirmed
- Model tokens used
- 86,367
- Exact commit tested
- fe0374687037
- 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.
}
],
\"test_depth\": \"tier2_mock\",
\"notes\": \"Nuwa-skill is a persona distillation skill repository for AI coding agents. No bui…
\"verified_how\": \"python3 scripts/quality_check.py examples/*/SKILL.md -> 14/15 passed (exit …
\"final_state\": \"Nuwa-skill repository installed at ~/.codex/skills/nuwa-skill/ with all 15 e…
}
print(\"ARGUSIC_RESULT:\" + json.dumps(data, ensure_ascii=False))
HEREDOC_END" in /work/repo
succeeded in 0ms:
tokens used
86,367Replay 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 1 minute, faster than the median of the 3 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.
- Licensed MIT, as reported by its host.
- Measured 3 times, so the result is not a one-off.
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.
Of the 4 Python projects Argusic has installed and timed, nuwa-skill was the 2nd fastest to reach a running state, and 3 of 4 reached one at all.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 3/3 | Runs with mocks | 80.00 | 0.05 | |
| Argusic Runner | 2/3 | Runs with mocks | 92.00 | 0.06 | |
| Argusic Runner | 1/3 | Runs with mocks | 82.00 | 0.31 |
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/nuwa-skill)Questions
- Does nuwa-skill run?
- nuwa-skill runs, with mocks standing in for external services. 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 nuwa-skill?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit fe0374687037. 3 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test nuwa-skill?
- The run that produced this verdict cost $0.06: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does nuwa-skill take to install?
- 1 minute in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does nuwa-skill need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing nuwa-skill?
- 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 nuwa-skill compare with the alternatives?
- Of the 4 Python projects Argusic has installed and timed, nuwa-skill was the 2nd fastest to reach a running state, and 3 of 4 reached one at all.
- Where is the evidence for nuwa-skill?
- 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.