SKILLEMALL.ai

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为 Windows 目录下的子文件夹批量生成并应用彩色图标。支持两种方案:(A) Tabler Icons — 集中图标目录 + 相对路径引用(默认,可整体迁移);(B) MDI Icons — 图标直接放在每个子文件夹内部(folder.ico),无需独立图标目录。使用场景:"批量设置文件夹图标"、"设置文件夹 icon"、"为目录设置图标"、"文件夹图标配色"。输出:生成 .ico 文件 + 写入 desktop.ini(ANSI 编码、相对路径) + 设置属性。仅限 Windows。

ClawHub Agent Skills author: XiaoM v0.1.0 MIT-0 12 files body ≈ 1 004 tokens Open the sourceclawhub.ai analyzed 26 h ago

为 Windows 目录下的子文件夹批量生成并应用彩色图标。支持两种方案:(A) Tabler Icons — 集中图标目录 + 相对路径引用(默认,可整体迁移);(B) MDI Icons — 图标直接放在每个子文件夹内部(folder.ico),无需独立图标目录。使用场景:"批量设置文件夹图标"、"设置文件夹…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
46/100
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: 11. 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 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1004 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
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 247: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill appears to do what it says, but it changes Windows folder icon files and attributes and downloads icon assets, so it should be run only on folders the user chooses.
LLM: benign (medium) · VirusTotal: · 22 Jul 2026