Does genspark-claw run?

Yes. genspark-claw runs. Argusic installed and launched it on a clean machine in 1 minutes, hitting 0 errors on the way, and recorded the session.

How did Argusic test genspark-claw?

On a fresh, disposable machine, with every command recorded and the repository pinned at commit 2ef198c6dd70. One attempt is recorded, and the full method is on the methodology page.

What did it cost to test genspark-claw?

The run that produced this verdict cost $0.00: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.

How long does genspark-claw take to install?

0.5 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 genspark-claw need a GPU?

Not to start. Argusic reached a running state on a machine with no GPU.

What goes wrong when installing genspark-claw?

Nothing did, in the recorded run: zero errors between clone and running.

Where is the evidence for genspark-claw?

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.

genspark-claw

🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents, 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call prep), zero-dependency Node.js installer, MCP server, one-line install

Runssource: GitHubJavaScriptMITcommit 2ef198c6dd70

JavaScript, MIT licensed. The project labels itself: agent skills, ai agent, ai assistants, ai tools, awesome genspark, genspark agent, genspark claw and genspark mcp.

genspark-claw runs. An Argusic agent installed it in 0.5 minutes and hit no errors on a clean machine with no GPU, and the whole session was recorded.

Package installs with zero dependencies. All 12 tests pass. All CLI commands (list, doctor, validate, install, info, version, help) work correctly. MCP server responds to JSON-RPC tools/list and tools/call. Programmatic API via require('genspark-claw') exports listBundledSkills, findSkill, installSkills, validateTarget, and runDoctor.
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: $0.00 (measured)
recorded runs: 1
last tested: 2026-10-24
stars: 660
forks: 0
open issues: 0
watchers: 0
created: -
last push: -

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.

Install time: under a minute
Cold machine to finish: under a minute
Errors hit and fixed: 0 hit, 0 fixed with no human help
How the result was proved: npm test exited 0, 12 passed; exercised list/doctor/validate/install/info/version/help; MCP tools/list + tools/call answered; programmatic require() exports listed; install wrote SKILL.md to target dir
Model tokens used: 29,337
Exact commit tested: 2ef198c6dd70
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.

exec
/bin/sh -lc 'cd /work/repo && node bin/genspark-claw.js version 2>&1' in /work/repo
 succeeded in 0ms:
1.0.0
exec
/bin/sh -lc "cd /work/repo && node -e \"const g = require('./src/index.js'); console.log(JSON.strin…
 succeeded in 0ms:
["call-prep","claw-browser-anchor","spark-report","spark-slides","super-research"]
All commands, tests, and integrations work perfectly with zero errors.
tokens used
29,337
All commands, tests, and integrations work perfectly with zero errors.

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 0.5 minutes, faster than the median of the 81 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.

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 82 agent-skills projects Argusic has installed and timed, genspark-claw was the 11th fastest to reach a running state, and 58 of 82 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 0.5 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 by	attempt	outcome	score	cost USD	when
Argusic Runner	1/3	Runs	100.00	0.00	2026-10-24 07:17 UTC

Embed the badge

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

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

Questions

Does genspark-claw run?: Yes. genspark-claw runs. Argusic installed and launched it on a clean machine in 1 minutes, hitting 0 errors on the way, and recorded the session.
How did Argusic test genspark-claw?: On a fresh, disposable machine, with every command recorded and the repository pinned at commit 2ef198c6dd70. One attempt is recorded, and the full method is on the methodology page.
What did it cost to test genspark-claw?: The run that produced this verdict cost $0.00: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
How long does genspark-claw take to install?: 0.5 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 genspark-claw need a GPU?: Not to start. Argusic reached a running state on a machine with no GPU.
What goes wrong when installing genspark-claw?: Nothing did, in the recorded run: zero errors between clone and running.
How does genspark-claw compare with the alternatives?: Of the 82 agent-skills projects Argusic has installed and timed, genspark-claw was the 11th fastest to reach a running state, and 58 of 82 reached one at all.
Where is the evidence for genspark-claw?: 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.