SKILLEMALL.ai

DC mql-compiler

Compile MQL4 (.mq4) and MQL5 (.mq5) sources to .ex4/.ex5 on Linux with the mql-compiler command, and read its compile errors.

ClawHub Agent Skills author: Ciprian Mandache v0.4.0 MIT-0 3 files body ≈ 2 130 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Compile MQL4 (.mq4) and MQL5 (.mq5) sources to .ex4/.ex5 on Linux with the mql-compiler command, and read its compile errors.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, running it twice

ProcedureDockerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
D
76/100
safety, quality, tests
Safety 60%
75
Quality 40%
78
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/installation.md:10
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/psyb0t/docker-mql-compiler/master/install.sh | bash
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/installation.md:16
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/psyb0t/docker-mql-compiler/master/install.sh | sudo bash -s -- --system
  • medium Dangerous commands cmd-privilege references/installation.md:16
    Privilege escalation / world-writable permissions
    curl -fsSL https://raw.githubusercontent.com/psyb0t/docker-mql-compiler/master/install.sh | sudo bash -s -- --system
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/installation.md:45
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/psyb0t/docker-mql-compiler/master/install.sh | bash -s -- --uninstall
  • medium Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:19
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/psyb0t/docker-mql-compiler/master/install.sh | bash

Files scanned: 3. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 63/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 2 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2130 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 125: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 24 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: suspicious
The skill is a coherent MQL compiler helper, but its install instructions ask users or agents to run mutable remote shell scripts, including an optional sudo install path.
LLM: suspicious (high) · 10 Oct 2026