SKILLEMALL.ai

BD mcp-control

Local browser and Windows desktop control for Mavis. Uses the official Microsoft playwright-cli (a11y-tree based, no screenshot flash) for browser automation, and a PowerShell + .NET helper for Windows desktop (mouse, keyboard, screenshots, windows, clipboard, run). Includes a unified `mcp.cjs` dispatcher with shortcuts for the common operations.

ClawHub Agent Skills author: fvegiard v0.1.3 MIT-0 2 files body ≈ 1 702 tokens Open the sourceclawhub.ai analyzed 10 h ago

Local browser and Windows desktop control for Mavis.

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPlaywrightAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
41/100
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: 2. 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 41/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (mcp-control) differs from the folder (mavis-tools)
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 15 steps
  • 100Execution cost. Instruction body is 1702 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 348: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill appears to disclose its desktop-control purpose, but it also gives the agent unrestricted local Windows command execution that users should review carefully before installing.
LLM: suspicious (medium) · 16 Jul 2026