AC smartfolder-skill
Intelligent file organization assistant for OpenClaw. Automatically organize, analyze, and clean up your file system using natural language commands. 龙虾智能文件整理助手。使用自然语言命令自动整理、分析和清理您的文件系统。 Keywords: file organizer, folder cleanup, duplicate finder, disk space analyzer, storage cleanup, download folder organizer, file categorization, bulk file management, 文件整理, 文件夹清理, 重复文件查找, 磁盘空间分析 Use this skill when: - "Organize my downloads folder" - "My downloads folder is a mess" - "Clean up duplicate files" - "Find duplicate files on my computer" - "Find large files taking up space" - "What's taking up disk space" - "Sort files by date/project/type" - "Organize files by type" - "Clean up messy folder" - "Rename photos based on date taken" - "Analyze disk usage" - "Archive old files" - "批量整理文件" - "清理重复文件" - "文件夹太乱了" - "清理文件夹" - "清理文件" - "桌面整理" Supports: intelligent categorization, duplicate detection, bulk renaming, disk analysis, automated cleanup workflows, file organization, folder management.
As a process C 62/100 · Has gaps — weak spots: result and completion, running it twice
How to improve
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 62/100
- 0Result and completion. Does not say what the result is
- 30Running it twice. 3 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1461 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 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
- +3Description length 1000: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 15 example trigger phrases
- +4Description says when NOT to use the skill
- +4Structure: 30 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (13 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.