serenity-skill

Serenity-inspired Agent Skill for supply-chain bottleneck stock research

Runssource: GitHubPythonMITcommit 7175becb67cc

Python, MIT licensed. The project labels itself: agent skills, ai agents, claude code, codex, investment research, stock research and supply chain.

serenity-skill runs. An Argusic agent installed it in 2 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.

Serenity.skill is installed to ~/.agents/skills/serenity-skill and ~/.codex/skills/serenity-skill, passes structural validation, and is loadable by Codex CLI 0.160.0 which correctly invokes it via $serenity-skill to perform supply-chain bottleneck research with named companies, dated evidence, and priority rankings.

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 75 of 100 (the mean of this project's run scores).

At a glance

verdict
Runs
Argusic Score
75 / 100
cost of the verifying run
$0.03 (measured)
recorded runs
2
last tested
stars
4,051
forks
630
open issues
2
watchers
15
size
0 MB
created
last push

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
2 minutes
Cold machine to finish
2 minutes
Errors hit and fixed
0 hit, 0 fixed with no human help
How the result was proved
codex exec with two prompts: (1) '$serenity-skill Give me a one-sentence summary' returned a correct method description; (2) '$serenity-skill Compare A-share AI semiconductor companies briefly at a supply-chain level. List 2-3 priority research candidates' returned a full bottleneck analysis with 3 candidate companies, dated evidence, and reasoning. Additionally, python3 scripts/validate_skill.py on the installed skill dirs exited 0 with 'OK: serenity-skill'.
Model tokens used
26,012
Exact commit tested
7175becb67cc
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.

/home/runner/.agents/skills/serenity-skill/references/deep-research-workflow.md
/home/runner/.agents/skills/serenity-skill/references/evidence-ladder.md
/home/runner/.agents/skills/serenity-skill/references/market-source-playbook.md
/home/runner/.agents/skills/serenity-skill/references/output-style-and-language.md
/home/runner/.agents/skills/serenity-skill/references/public-profile-and-evaluation.md
/home/runner/.agents/skills/serenity-skill/references/research-sources.md
/home/runner/.agents/skills/serenity-skill/references/risk-and-compliance.md
/home/runner/.agents/skills/serenity-skill/references/serenity-dialogue-protocol.md
Now let me compile the final result.
tokens used
26,012
Now let me compile the final result.

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 2 minutes, faster than the median of the 28 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 2 times, so the result is not a one-off.

Of the 29 agent-skills projects Argusic has installed and timed, serenity-skill was the 10th fastest to reach a running state, and 20 of 29 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 2 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

tested byattemptoutcomescorecost USDwhen
Argusic Runner2/3Runs100.000.03
Argusic Runner1/3Did not run50.000.04

Topics (from GitHub)

agent-skillsai-agentsclaude-codecodexinvestment-researchstock-researchsupply-chain

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/serenity-skill.svg)](https://argusic.com/subject/serenity-skill)

Questions

Does serenity-skill run?
Yes. serenity-skill runs. Argusic installed and launched it on a clean machine in 2 minutes, hitting 0 errors on the way, and recorded the session.
How did Argusic test serenity-skill?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 7175becb67cc. 2 attempts are recorded, and the full method is on the methodology page.
What did it cost to test serenity-skill?
The run that produced this verdict cost $0.03: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does serenity-skill take to install?
2 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 serenity-skill need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing serenity-skill?
Nothing did, in the recorded run: zero errors between clone and running.
How does serenity-skill compare with the alternatives?
Of the 29 agent-skills projects Argusic has installed and timed, serenity-skill was the 10th fastest to reach a running state, and 20 of 29 reached one at all.
Where is the evidence for serenity-skill?
All 2 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.

Discussion