SKILLEMALL.ai

BD file-organizer

基于 AI 语义分析的智能文件整理技能,根据文件内容动态创建 Johnny Decimal 分类。 当用户提到以下内容时触发: - "整理文件"、"分类文件"、"组织下载"、"文件归档" - "文件太多了"、"下载文件夹很乱"、"文件乱七八糟" - "把文件按类别整理"、"自动分类文件" - "清理下载文件夹"、"整理文档" - "文件管理"、"文件分类整理" - 提到需要将文件从一个目录移动到另一个目录进行分类 核心功能: - AI 分析文件名语义,动态生成分类 - 使用 Johnny Decimal 编号系统(XX.YY 格式) - 自动检测重复文件(MD5 算法) - 用户确认分类计划后再执行

ClawHub Agent Skills author: akira82-ai v0.1.0 MIT-0 6 files body ≈ 1 250 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process D 49/100 · 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
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
80
Run on models
none yet
Process rating
D
49/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash AskUserQuestion Task

Files scanned: 5. 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 49/100

  • 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 (file-organizer) differs from the folder (smart-file-organizer)
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 54 steps
  • 100Execution cost. Instruction body is 1250 tokens
  • 100Running it twice. No mutating operations
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 305: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
This skill is mostly a file organizer, but it can move user files and permanently delete duplicates with weak built-in safeguards and incomplete disclosure.
LLM: suspicious (high) · VirusTotal: · 29 May 2026