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AF agentmetal

Spin up a real Linux server (VPS / cloud instance) in under 60 seconds, then SSH in and run commands on it — paid with USDC over x402 or card, no signup, no dashboard. Use when you want to rent a box, deploy something, run a command on a real machine, or host a service.

ClawHub Agent Skills author: Luis Cosio v0.3.2 MIT-0 2 files body ≈ 1 508 tokens Open the sourceclawhub.ai↗ analyzed 21 h ago

Spin up a real Linux server (VPS / cloud instance) in under 60 seconds, then SSH in and run commands on it — paid with USDC over x402 or card, no signup, no…

As a process F 40/100 · Will not run — References files that are not bundled: scripts/agentmetal

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: scripts/agentmetal
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/agentmetal
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: scripts/agentmetal
  • 0Tools and files. 1 referenced file(s) missing: scripts/agentmetal
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 7 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1508 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 270: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: suspicious
The skill is a coherent GPU/cloud instance helper, but it gives an agent billable provisioning, raw remote command execution, and destructive instance deletion without strong confirmation boundaries.
LLM: suspicious (medium) · VirusTotal: · 9 Jul 2026