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BF ai-file-organizer

AI 智能文件整理 - 批量重命名、自动分类、智能归档（异步引擎 + 云同步）

ClawHub Agent Skills author: SxLiuYu v3.0.0 MIT-0 11 files body ≈ 1 635 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: docs/PERFORMANCE.md

ProcedureInfrastructuretype 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
81/100
safety, quality, tests
Safety 60%
98
Quality 40%
56
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: docs/PERFORMANCE.md
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
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.
  2. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-cron-mention QUICKSTART.md:108
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention README.md:246
    Mentions editing / listing crontab
    crontab -e

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: docs/PERFORMANCE.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: docs/PERFORMANCE.md
  • 0Tools and files. 1 referenced file(s) missing: docs/PERFORMANCE.md
  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 100Steps. 61 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1635 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 15 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)
  • +3Description length 39: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -226 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 61 items
  • +4Has examples (11 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
This is a file organizer with plausible purpose, but it can move user files and its documentation overstates safety, cloud, AI, and recovery features that the code does not actually provide.
LLM: suspicious (high) · VirusTotal: · 29 May 2026