SKILLEMALL.ai
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BF awesome-geelark-skill

Interact with GeeLark Cloud Phone API for managing cloud phones, automation tasks, and social media operations. Use when asked to create cloud phones, manage phones, run automation tasks on TikTok/Instagram/Facebook/YouTube/Reddit, or interact with GeeLark services.

ClawHub Agent Skills author: GeeLark v1.0.1 MIT-0 24 files body ≈ 5 375 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: assets/config.json

IntegrationYouTubeMarketingtype 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
86/100
safety, quality, tests
Safety 60%
98
Quality 40%
67
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: assets/config.json
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Obfuscation obf-base64-blob scripts/cloudphone_logger.py:295
    Long base64-looking blob (detector / deny-list definition)
    test_url = "https://cmp1…com/apps/icon.png?Expires=…&OSSAccessKeyId=…&Signature=…&security-token=…
    detector
  • low Secrets in code secret-high-entropy-token scripts/cloudphone_logger.py:295
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    test_url = "https://cmp1…com/apps/icon.png?Expires=…&OSSAccessKeyId=…&Signature=…&security-token=…
    detector

Files scanned: 24. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5375 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/config.json

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: assets/config.json
  • 0Tools and files. 1 referenced file(s) missing: assets/config.json
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5375 tokens
  • 85Steps. 75 steps, 1 vague phrases
  • 100Failures and branches. 8 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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)
  • +3Output format is not stated: the model decides each time
  • -246 emoji in the instructions: noise for the model
  • -36 of 13 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 266: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 75 items
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (5 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill is purpose-aligned for GeeLark cloud-phone automation, but it grants broad device, credential, and social-account control with some safeguards left too loose.
LLM: suspicious (high) · VirusTotal: · 29 May 2026