yao-meta-skill
YAO = Yielding AI Outcomes. A rigorous engineering, evaluation, governance, and portability system for reusable agent skills.
Runssource: GitHubhomepagePythonMITcommit f5d8f681372e
Python, MIT licensed. The project labels itself: agent skills, ai agents, evaluation, governance, meta skill, portability, skill engineering and workflow automation.
yao-meta-skill runs. An Argusic agent installed it in 1 minute and hit 4 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
All 87 CI tests pass, the CLI validates the project correctly, and the Review Studio reports decision 'review' with score 86.
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.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- PyYAML dependency not installed for system Python1 minute
- Permission approvals expired (2026-09-30) in security/permission_policy.json1 minute
- Stale review document reports/skill-os-2-review.md referenced old scores/blocks1 minute
- Hardcoded 2026-09-30 expiry dates in test files verify_trust_check.py, verify_review_waivers.py, verify_yao_cli.py1 minute
- Install time
- 1 minutes
- Cold machine to finish
- 21 minutes
- Errors hit and fixed
- 4 hit, 4 fixed with no human help
- How the result was proved
- python3 scripts/ci_test.py exited 0, 87/87 targets completed; python3 scripts/yao.py validate . --self returned ok with all 4 steps passing; python3 scripts/yao.py review-studio . --self returned decision 'review' score 86; all 4 steps in python3 scripts/yao.py validate . --self returned ok
- Model tokens used
- 456,419
- Exact commit tested
- f5d8f681372e
- 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.
2026-10-03T01:36:15.877403Z ERROR codex_core::tools::router: error=exec_command failed: CreateProce… exec /bin/sh -lc "find /tmp -maxdepth 1 -name 'test-*' -o -name 'soc.*' 2>/dev/null | sort" in /work/repo succeeded in 0ms: /tmp/soc.json /tmp/soc.md /tmp/test-skill-dir /tmp/test-ts All 87 CI targets pass, CLI validates, Review Studio reports decision `review` score `86`. Here is … tokens used 456,419 All 87 CI targets pass, CLI validates, Review Studio reports decision `review` score `86`. Here is …
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 1 minute, faster than the median of the 29 comparable projects Argusic has measured.
- Recovered from all 4 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 30 agent-skills projects Argusic has installed and timed, yao-meta-skill was the 6th fastest to reach a running state, and 21 of 30 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 1 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)
agent-skillsai-agentsevaluationgovernancemeta-skillportabilityskill-engineeringworkflow-automation
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/yao-meta-skill)Questions
- Does yao-meta-skill run?
- Yes. yao-meta-skill runs. Argusic installed and launched it on a clean machine in 1 minutes, hitting 4 errors on the way, and recorded the session.
- How did Argusic test yao-meta-skill?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit f5d8f681372e. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test yao-meta-skill?
- The run that produced this verdict cost $0.10: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does yao-meta-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 yao-meta-skill need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing yao-meta-skill?
- 4 things broke in the recorded run, and 4 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does yao-meta-skill compare with the alternatives?
- Of the 30 agent-skills projects Argusic has installed and timed, yao-meta-skill was the 6th fastest to reach a running state, and 21 of 30 reached one at all.
- Where is the evidence for yao-meta-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.