SKILLEMALL.ai

BD desktop-automation

桌面智能体自动化技能。执行需要操作电脑的多步骤任务时激活。 能力:屏幕截图、视觉分析、浏览器自动化、桌面键鼠控制、文件shell操作、跨域握手协议。 触发场景: - "帮我自动完成XXX(需要操作电脑)" - "打开XX应用/网页,然后..." - "把桌面上的文件自动整理到..." - "自动登录XX网站并填入..." - "批量重命名/移动/处理文件" - 任何涉及点击、拖拽、填写表单的任务

ClawHub Agent Skills author: jinxulin8899-dotcom v1.0.0 MIT-0 3 files body ≈ 645 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
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: 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")

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 (desktop-automation) differs from the folder (chuntai-desktop-agent)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 645 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

  • +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
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 201: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (12 code blocks)

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

External checks

ClawHub: suspicious
This skill is a disclosed Mac desktop automation tool, but it gives an agent broad control over your screen, keyboard, clipboard, browser, files, downloads, and shell commands without enough built-in safety gates.
LLM: suspicious (high) · VirusTotal: · 29 May 2026