SKILLEMALL.ai

BB pyautogui-controller

Advanced Windows desktop/browser automation via a local Python controller project. Use when the user wants natural-language UI automation on this machine: screenshots, opening apps, browser navigation, clicking inputs/buttons, typing text, and simple multi-step desktop workflows. Prefer built-in browser/web tools for normal web tasks; use this skill when direct screen/desktop control is required.

ClawHub Agent Skills author: hzj520lyx v1.0.1 MIT-0 46 files body ≈ 470 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
B
69/100
Nearly there
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

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 · 0

    ✓ No critical or high findings

    Files scanned: 46. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Advanced Windows desktop/browser automation via a local Python con… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 69/100

    • 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
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 470 tokens
    • 100Running it twice. No mutating operations

    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 399: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (2 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

    External checks

    ClawHub: suspicious
    This is a real desktop/browser automation skill, but it can launch local programs, control live windows, reuse browser sessions, and persist screenshots/logs with limited user-facing safeguards.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026