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BF cfgpu-api

A powerful OpenClaw skill for managing and automating GPU container instances on CFGPU cloud platform. Designed for AI/ML developers, researchers, and content creators, providing full lifecycle management of GPU cloud resources.

ClawHub Agent Skills author: AIAD v1.1.0 MIT-0 14 files · 6 scripts body ≈ 2 273 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 60/100 · Will not run — References files that are not bundled: LICENSE

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
B
81/100
safety, quality, tests
Safety 60%
78
Quality 40%
86
Run on models
none yet
Process rating
F
60/100
Will not run
References files that are not bundled: LICENSE
Tools and files w 18
0
Progress reporting w 2
0
Failures and branches w 10
50
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Exfiltration net-credential-use references/api-reference.md:341
    Credential used in a network call (verify the destination is the intended service)
    instances=$(curl -s -H "Authorization: $CFGPU_API_TOKEN" \
  • medium Exfiltration net-credential-use scripts/cfgpu-helper.sh:34
    Credential used in a network call (verify the destination is the intended service)
    local curl_cmd="curl -s -H 'Authorization: $CFGPU_API_TOKEN'"
  • medium Exfiltration net-credential-use scripts/check-config.sh:68
    Credential used in a network call (verify the destination is the intended service)
    RESPONSE=$(curl -s -H "Authorization: $TEST_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:147
    Credential used in a network call (verify the destination is the intended service)
    curl -X POST -H "Authorization: $CFGPU_API_TOKEN" -H "Content-Type: application/json" \
  • low Exfiltration net-credential-use SKILL.md:141
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -H "Authorization: $CFGPU_API_TOKEN" https://api.cfgpu.com/userapi/v1/region/list
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:144
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -H "Authorization: $CFGPU_API_TOKEN" https://api.cfgpu.com/userapi/v1/gpu/list
    vendor-host

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: LICENSE

Process rating: all ten parameters 60/100

Will not run. References files that are not bundled: LICENSE
  • 0Tools and files. 1 referenced file(s) missing: LICENSE
  • 0Progress reporting. Says nothing while it works
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 58 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2273 tokens
  • 100Running it twice. Mutating operations check current state
  • low 20 top-level sections: this looks like several domains in one skill

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)
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 228: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 58 items
  • +3Output format is stated explicitly
  • +4Has examples (19 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: suspicious
This CFGPU cloud-management skill is mostly purpose-aligned, but it needs review because it can persist cloud API tokens locally and run high-impact instance actions with weak safeguards.
LLM: suspicious (high) · VirusTotal: · 28 May 2026