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BD file-sorter

解析压缩文件并根据文件名关键词自动分类到指定目录。每当用户需要处理压缩文件时，请使用此技能。触发条件包括：提及"解压"、"文件解压"等。也用于将文件根据用户指定的方法进行分类处理。如果用户要求解压文件并将文件按指定文件名进行分类，请使用此技能。

ClawHub Agent Skills author: zj-zc v1.0.2 MIT-0 4 files body ≈ 1 190 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
72
Run on models
none yet
Process rating
D
39/100
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-password-literal data/file_sorter.py:281
    Hard-coded password / key literal (may be an example)
    password = sys.argv[4] if len(sys.argv) > 4 else None

Files scanned: 4. 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 39/100

  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (file-sorter) differs from the folder (compress-file-sorter)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 21 steps
  • 100Execution cost. Instruction body is 1190 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 122: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This archive sorter is mostly coherent, but it can move files based on rule-controlled paths that are not fully constrained to the chosen output folder.
LLM: suspicious (high) · VirusTotal: · 29 May 2026