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AF tiktok-android-bot

Automate TikTok engagement on Android using ADB. Search topics, comment with AI or templates, includes setup wizard. Use for TikTok automation campaigns and building social presence through strategic commenting.

ClawHub Agent Skills author: mladjan v1.0.0 16 files body ≈ 1 892 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 41/100 · Will not run — References files that are not bundled: references/COORDINATES.md

GeneratorMarketingtype 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
90/100
safety, quality, tests
Safety 60%
98
Quality 40%
78
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: references/COORDINATES.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration read-dotenv setup.py:259
    Reads a .env file
    with open(".env", 'r') as f:
  • low Exfiltration read-dotenv setup.py:272
    Reads a .env file
    with open(".env", 'w') as f:

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/COORDINATES.md

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: references/COORDINATES.md
  • 0Tools and files. 1 referenced file(s) missing: references/COORDINATES.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (tiktok-android-bot) differs from the folder (tiktok-android)
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 64 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 1892 tokens
  • 100Running it twice. No mutating operations
  • low 15 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 211: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 64 items
  • +4Has examples (17 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This TikTok automation skill is mostly coherent, but it needs Review because it can post public comments from a logged-in account, upload screenshots to AI providers, store API keys locally, and contains unsafe input-handling flaws.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026