SKILLEMALL.ai
GitHub ↗ RU Sign in

AD mt5-headless-automation

Run MetaTrader 5 (MT5) fully headless on Linux/VPS: Wine + Xvfb + xdotool + OCR. Install, log in, attach EAs, deploy experts, monitor heartbeat and auto-restart. Built from real production experience (Vantage, 17 symbols, DRT-Axe EA). Perfect for traders who want to run EAs 24/7 without a screen. ⚠️ WARNING: runs system-level commands (wine, Xvfb, sudo apt), can restart MT5/terminate processes, and handles broker login credentials.

ClawHub Agent Skills author: Northcap Group v1.0.4 MIT-0 5 files · 3 scripts body ≈ 728 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

Run MetaTrader 5 (MT5) fully headless on Linux/VPS: Wine + Xvfb + xdotool + OCR.

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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%
100
Quality 40%
75
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 45/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 728 tokens
  • 100Progress reporting. Reports progress

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 435: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (2 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill is purpose-built for MT5 automation, but it handles broker credentials and live trading operations with broad screen capture and automatic restarts that users should review carefully before installing.
LLM: suspicious (high) · VirusTotal: · 20 Aug 2026