agentic-awesome-skills
2,926+ reusable AI agent skills for Claude Code, Codex, Cursor and Gemini CLI. AAS Core adds local catalog discovery, agent-owned selection and plan preview. CLI, MCP and plugins.
Runssource: GitHubhomepagePythonMITcommit 2ed16bc0af73
Python, MIT licensed. The project labels itself: agent skills, agentic skills, ai agent skills, ai agents, ai coding, ai workflows, antigravity and antigravity skills.
agentic-awesome-skills runs. An Argusic agent installed it in 3 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Dependencies installed, full test suite (130 tests) passes, validation passes for 2459 skills, build chain generates catalog, and AAS CLI responds to commands. The web-app portion requires Node >=22 and cannot launch in this container.
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 95.7 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.
- git_pushing_helper.test.js: git init --ref-format=reftable failed (Git 2.43.0, needs ≥2.45)2 minutes
- test_audit_consistency.py: ModuleNotFoundError for yaml1 minute
- Install time
- 3 minutes
- Cold machine to finish
- 8 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- How the result was proved
- npm run test exited 0, 130 tests passed. npm run validate passed (2459 skills). npm run validate:references passed. npm run security:docs passed. npm run build (chain) passed including catalog generation (2459 records). aas catalog status returned ok. Web-app tests cannot run: vite/rolldown require Node >=20.19, container has Node 18.19.1.
- Model tokens used
- 216,189
- Exact commit tested
- 2ed16bc0af73
- 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
Watch the session
The whole run, from a clean machine, at the speed it actually happened. Nothing is cut and nothing is sped up.
A recording of attempt 1, run , the attempt that decided the verdict above. The terminal recording it was made from is the evidence, stored with a sha256 fingerprint; the video is a rendering of it. Nothing loads from the video host until you press play.
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
Node.js v18.19.1 Let me verify the fixed Python test is now passing exec /bin/sh -lc 'cd /work/repo && node tools/scripts/run-python.js tools/scripts/tests/test_audit_consi… succeeded in 42ms: .... Ran 5 tests in 0.044s OK All errors have been diagnosed and fixed. Here is the final report: tokens used 216,189 All errors have been diagnosed and fixed. Here is the final report:
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.
- 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.
- Measured 2 times, so the result is not a one-off.
What did not, or is not known
- Took 3 minutes to install, slower than the median of the 118 comparable projects Argusic has measured.
Of the 119 agent-skills projects Argusic has installed and timed, agentic-awesome-skills was the 63rd fastest to reach a running state, and 90 of 119 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 3 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-skillsagentic-skillsai-agent-skillsai-agentsai-codingai-workflowsantigravityantigravity-skillsclaude-codeclaude-code-skillscodex-clicodex-skillscursorcursor-skillsdeveloper-toolsgemini-cligemini-skillskiromcpskill-library
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/agentic-awesome-skills)Questions
- Does agentic-awesome-skills run?
- Yes. agentic-awesome-skills runs. Argusic installed and launched it on a clean machine in 3 minutes, hitting 2 errors on the way, and recorded the session.
- How did Argusic test agentic-awesome-skills?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 2ed16bc0af73. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test agentic-awesome-skills?
- The run that produced this verdict cost $0.04: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does agentic-awesome-skills take to install?
- 3 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 agentic-awesome-skills need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing agentic-awesome-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 agentic-awesome-skills compare with the alternatives?
- Of the 119 agent-skills projects Argusic has installed and timed, agentic-awesome-skills was the 63rd fastest to reach a running state, and 90 of 119 reached one at all.
- Where is the evidence for agentic-awesome-skills?
- 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.