opc-skills
Agent Skills for Solopreneurs
Runssource: GitHubhomepagePythonApache-2.0commit af31273aa826
Python, Apache-2.0 licensed. The project labels itself: agent skills, ai tools, claude code, geo, llm tools, opc and seo.
opc-skills runs. An Argusic agent installed it in 26 minutes and hit 4 errors on a clean machine with no GPU, and the whole session was recorded.
The repo installs via npx skills add with Node 22 and every reddit skill script now fetches live Reddit data (posts, search, comments, users, subreddits), while the website worker serves 200 HTML, skills.json (10 skills), and robots.txt; logo and banner crop scripts produce images that ffmpeg decodes without errors.
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 90 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.
- Reddit www.reddit.com JSON returned HTTP 403 (Blocked) for all reddit skill scripts18 minutes
- Installer npx skills add failed with SyntaxError on node:util styleText under system Node 18.19.18 minutes
- website/package.json defines no lint/typecheck/test/build scripts though docs list them3 minutes
- scripts/create-blog.py validate reports 4 pre-existing missing 'schema' errors in 2 blog posts1 minute
- Install time
- 26 minutes
- Cold machine to finish
- 24 minutes
- Errors hit and fixed
- 4 hit, 2 fixed with no human help
- How the result was proved
- npx skills add /work/repo -y exited 0 and installed 12 skills into .agents/skills; python3 get_posts.py python --limit 3 printed r/python/hot[3]{title,subreddit,score,comments} with real posts and has_next_page True; website worker fetch('https://opc.dev/skills.json') returned 200 with version 1.2.1 and 10 skills; ffmpeg -v error -i <crop output> -f null - reported no errors
- Model tokens used
- 2,963,106
- Exact commit tested
- af31273aa826
- 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.
**Gaps (already known, recorded)** - `twitter`/`producthunt`/`seo-geo` need real API keys (`TWITTERAPI_API_KEY`, `PRODUCTHUNT_ACCESS_T… - `nanobanana` needs `GEMINI_API_KEY`; its non-network helper (`load_image_as_base64`) was exercise… - `website/package.json` defines no `lint/typecheck/test/build` scripts despite AGENTS.md mentionin… **Errors encountered (each diagnosed; all but one fixed)** 1. Reddit 403: cookie-warmup fix, working now. 2. Missing `http.cookiejar` import in my own fix; fixed. 3. Docs promised scripts (`npm run lint` etc.) that don't exist in `package.json`; not fixed since … 4. Blog validation pre-existing `schema` errors; out of scope, reported. **Result summary** ``` ```
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.
- Ran without a GPU, so it does not need one to start.
- Licensed Apache-2.0, as reported by its host.
What did not, or is not known
- Took 26 minutes to install, slower than the median of the 35 comparable projects Argusic has measured.
- Hit 4 errors during setup, 2 of which were not solved.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 36 agent-skills projects Argusic has installed and timed, opc-skills was the 33rd fastest to reach a running state, and 27 of 36 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.
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)
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/opc-skills)Questions
- Does opc-skills run?
- Yes. opc-skills runs. Argusic installed and launched it on a clean machine in 26 minutes, hitting 4 errors on the way, and recorded the session.
- How did Argusic test opc-skills?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit af31273aa826. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test opc-skills?
- The run that produced this verdict cost $0.56: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does opc-skills take to install?
- 26 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 opc-skills need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing opc-skills?
- 4 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 opc-skills compare with the alternatives?
- Of the 36 agent-skills projects Argusic has installed and timed, opc-skills was the 33rd fastest to reach a running state, and 27 of 36 reached one at all.
- Where is the evidence for opc-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.