BC auto-file-organizer-free
自动文件整理器免费版解决文件整理的"手动归类繁琐"痛点：下载文件夹里混着图片、文档、视频、压缩包，每次手动分类耗时且容易遗漏；桌面堆满各种类型文件找不到重点；不同类型的文件没有统一的归类规则，每次整理都要重新决策。核心能力：按文件类型自动归类（图片/文档/视频/音频/压缩包/代码六大类）、按日期自动归类（今天/昨天/本周/本月）、整理统计报告（文件数量与类型分布）、自定义类型映射扩展、预览模式先确认后执行
自动文件整理器免费版解决文件整理的"手动归类繁琐"痛点：下载文件夹里混着图片、文档、视频、压缩包，每次手动分类耗时且容易遗漏；桌面堆满各种类型文件找不到重点；不同类型的文件没有统一的归类规则，每次整理都要重新决策。核心能力：按文件类型自动归类（图片/文档/视频/音频/压缩包/代码六大类）、按日期自动归类（今天/昨天/…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Map keys must be unique at line 21, column 1: suggested_price: "9.9 CNY/per_use" tools: ["read", "write", "exec"] ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "edition" - note
frontmatter-keyunknown frontmatter key "tools" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "pricing_tier" - note
frontmatter-keyunknown frontmatter key "pricing_model" - note
frontmatter-keyunknown frontmatter key "suggested_price"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2556 tokens
- 100Running it twice. No mutating operations
- low 16 top-level sections: this looks like several domains in one skill
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
- +2Single-language instructions
- +3Description length 204: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (12 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.