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BC desktop-control

Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.

modbender/skill-library-mcp Agent Skills author: modbender MIT 6 files body ≈ 3 584 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read…

As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureVS CodeSoftware developmenttype 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
84/100
safety, quality, tests
Safety 60%
87
Quality 40%
80
Run on models
none yet
Process rating
C
50/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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

    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-execpolicy-bypass SKILL.md:24
      Runs PowerShell with execution policy bypassed
      powershell -ExecutionPolicy Bypass -File "$HOME/.openclaw/workspace/skills/desktop-control/scripts/<script>.ps1" -Action <action> [params]
    • medium Dangerous commands cmd-execpolicy-bypass SKILL.md:44
      Runs PowerShell with execution policy bypassed
      powershell -ExecutionPolicy Bypass -File "$HOME/.openclaw/workspace/skills/desktop-control/scripts/app-…ps1" -Action list-windows
    • low Dangerous commands cmd-execpolicy-bypass SKILL.md:51
      Runs PowerShell with execution policy bypassed (security demo / example)
      powershell -ExecutionPolicy Bypass -File "$HOME/.openclaw/workspace/skills/desktop-control/scripts/app-…ps1" -Action launch -Target "notepad"
      demo
    • low Dangerous commands cmd-execpolicy-bypass SKILL.md:54
      Runs PowerShell with execution policy bypassed (security demo / example)
      powershell -ExecutionPolicy Bypass -File "$HOME/.openclaw/workspace/skills/desktop-control/scripts/app-…ps1" -Action launch -Target "C:\Program Files\MyApp\app.exe"
      demo
    • low Dangerous commands cmd-execpolicy-bypass SKILL.md:57
      Runs PowerShell with execution policy bypassed (security demo / example)
      powershell -ExecutionPolicy Bypass -File "$HOME/.openclaw/workspace/skills/desktop-control/scripts/app-…ps1" -Action launch -Target "code" -Arguments "C:\Users\ibach\project"
      demo

    Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 50/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (desktop-control) differs from the folder (desktop-control-win)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 12 steps
    • 100Execution cost. Instruction body is 3584 tokens

    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 380: enough signal without eating the budget
    • +4Structure: 55 headings
    • +3Step-by-step instructions: 12 items
    • +4Has examples (44 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.