SenseNova-Skills
Modular SenseNova skills for building AI-powered office assistants and productivity workflows
Runs with mockssource: GitHubJavaScriptMITcommit 5abde96fed21
JavaScript, MIT licensed. The project labels itself: agent, agent skills, ai agents, ai assistant, data analysis, document processing, office automation and presentation slides.
SenseNova-Skills runs, with stand-ins for the services it depends on. An Argusic agent installed it in 26 minutes and hit 6 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
OpenClaw 2026.9.7 with Node 24.21 and Python 3.12 venv, 36 SenseNova skills linked and cataloged, mock API server on :8899 handles chat/image-gen endpoints, environment diagnostic passes all checks, 9/11 PPT export tests pass (2 regression tests blocked by unrelated Chromium version pin)
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 92 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page. 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.
- npm EACCES permission denied for global install4 minutes
- Python PEP 668 externally-managed-environment blocked pip install3 minutes
- Image gen client rejected data: URL protocol from mock3 minutes
- openclaw requires Node >=24.16, system had 18.192 minutes
- Mock HTTP server process died when backgrounded via &, curl returned connection refused2 minutes
- PPT export tests: 2/11 fail (browser version mismatch - tests expect chromium-1208, installed is 1243)
- Install time
- 26 minutes
- Cold machine to finish
- 26 minutes
- Errors hit and fixed
- 6 hit, 6 fixed with no human help
- How the result was proved
- sn_agent_runner.py sn-text-optimize returned mock response; sn-image-generate created valid 1x1 PNG; sn-image-recognize returned mock via VLM adapter; environment diagnostic passed all 36 skills; openclaw agent --local --message returned stopReason=stop with mock response; PPT export tests 9/11 pass
- Model tokens used
- 253,976
- Exact commit tested
- 5abde96fed21
- 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
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
**Mock API server:** - A mock SenseNova API server on `http://127.0.0.1:8899/v1` implements `/chat/completions` (Argusic… - OpenClaw configured with custom provider pointing at the mock **Verification results:** - `sn_agent_runner.py sn-text-optimize` → returns mock LLM response - `sn-image-generate` → creates valid 1×1 RGB PNG - `sn-image-recognize` → responds via VLM adapter - Environment diagnostic → PASSED, all 36 skills found, all deps installed - `openclaw agent --local --message "..."` → responded with `stopReason=stop`, mock reply delivered - PPT export tests → **9/11 passing**, 2 fail due to pre-existing Chromium version pin mismatch (te… **Errors encountered & resolved:** Python PEP 668 → venv; npm EACCES → nvm Node 24; Node 18→24 upgr… **One thing worth noting:** The 2 failing PPT regression tests require a specific Chromium version …
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
- Recovered from all 6 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed MIT, as reported by its host.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
- Took 26 minutes to install, slower than the median of the 59 comparable projects Argusic has measured.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 60 agent projects Argusic has installed and timed, SenseNova-Skills was the 51st fastest to reach a running state, and 41 of 60 reached one at all.
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 by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.16 |
Topics (from GitHub)
agentagent-skillsai-agentsai-assistantdata-analysisdocument-processingoffice-automationpresentation-slides
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/sensenova-skills)Questions
- Does SenseNova-Skills run?
- SenseNova-Skills runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 26 minutes, hitting 6 errors on the way, and recorded the session.
- How did Argusic test SenseNova-Skills?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 5abde96fed21. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test SenseNova-Skills?
- The run that produced this verdict cost $0.16: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does SenseNova-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 SenseNova-Skills need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing SenseNova-Skills?
- 6 things broke in the recorded run, and 6 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does SenseNova-Skills compare with the alternatives?
- Of the 60 agent projects Argusic has installed and timed, SenseNova-Skills was the 51st fastest to reach a running state, and 41 of 60 reached one at all.
- Where is the evidence for SenseNova-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.