cc-thinking-skills

28 eval-informed mental models and critical-thinking skills for Claude Code, GitHub Copilot, Codex, Cursor, and other Agent Skills-compatible tools

Runssource: GitHubJavaScriptMITcommit 7b8fece345df

JavaScript, MIT licensed. The project labels itself: agent skills, ai tools, anthropic, claude, claude code, critical thinking, decision making and first principles.

cc-thinking-skills runs. An Argusic agent installed it in 0 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.

All 314 tests pass, all 28 skills pass structural validation (100%), all 23 datasets pass split validation, and the judge reliability validator reports 100% agreement across 3 models.

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

verdict
Runs
Argusic Score
100 / 100
cost of the verifying run
$0.03 (measured)
recorded runs
1
last tested
stars
1,605
forks
181
open issues
4
watchers
7
size
4 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.

Time lost to each failure while testing cc-thinking-skills, drawn from the recorded run
Every bar is a failure the agent recorded, with the time it cost. Drawn from this run, not from anywhere else.

What went wrong, in the agent's own words

The agent's own words, worst first, never rewritten into advice.

  • evidence-registry-generation.test.js: 2 tests failed because 3 git SHAs (c2e4a73, 3d1f67d, 1d63b0d) not in shallow clone2 minutes
  • ambiguous ref warning from earlier git fetch creating a 40-hex ref
Install time
under a minute
Cold machine to finish
6 minutes
Errors hit and fixed
2 hit, 2 fixed with no human help
How the result was proved
node --test evals/tests/*.test.js exited 0, 314 passed
Model tokens used
97,336
Exact commit tested
7b8fece345df
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.

# fail 0
# duration_ms 4121.017038
6. Skill count:
28
All validators and tests pass cleanly with zero errors.
**Note on initial errors**: 2 tests in `evidence-registry-generation.test.js` failed because their …
**No install step needed**: This project is a self-contained Node.js application using only built-i…
tokens used
97,336
All validators and tests pass cleanly with zero errors.
**Note on initial errors**: 2 tests in `evidence-registry-generation.test.js` failed because their …
**No install step needed**: This project is a self-contained Node.js application using only built-i…

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 minutes, faster than the median of the 43 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 44 agent-skills projects Argusic has installed and timed, cc-thinking-skills was the 1st fastest to reach a running state, and 31 of 44 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 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

tested byattemptoutcomescorecost USDwhen
Argusic Runner1/3Runs100.000.03

Topics (from GitHub)

agent-skillsai-toolsanthropicclaudeclaude-codecritical-thinkingdecision-makingfirst-principlesmental-modelsproblem-solvingsystems-thinking

Embed the badge

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

[![Tested by Argusic](https://argusic.com/badge/cc-thinking-skills.svg)](https://argusic.com/subject/cc-thinking-skills)

Questions

Does cc-thinking-skills run?
Yes. cc-thinking-skills runs. Argusic installed and launched it on a clean machine in 0 minutes, hitting 2 errors on the way, and recorded the session.
How did Argusic test cc-thinking-skills?
On a fresh, disposable machine, with every command recorded and the repository pinned at commit 7b8fece345df. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test cc-thinking-skills?
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 cc-thinking-skills take to install?
0 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 cc-thinking-skills need a GPU?
Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing cc-thinking-skills?
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 cc-thinking-skills compare with the alternatives?
Of the 44 agent-skills projects Argusic has installed and timed, cc-thinking-skills was the 1st fastest to reach a running state, and 31 of 44 reached one at all.
Where is the evidence for cc-thinking-skills?
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.

Discussion