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BF 图片智能去重专业版

递归扫描全目录图片，自定义相似度，安全软删除至回收站，保留高清原图

ClawHub Agent Skills author: onealmeng v1.0.1 MIT-0 4 files body ≈ 225 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 21/100 · Will not run — weak spots: steps, result and completion, when it triggers

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
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
45
Run on models
none yet
Process rating
F
21/100
Will not run
Steps w 15
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.
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 · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • 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")
  • note frontmatter-key unknown frontmatter key "name-en"
  • note frontmatter-key unknown frontmatter key "description-en"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 21/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (图片智能去重专业版) differs from the folder (deduplicate-images)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Execution cost. Instruction body is 225 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)
  • +3Description length 33: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -213 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.

External checks

ClawHub: clean
This is a local image deduplication tool that matches its stated purpose, but it can automatically move many image files inside the folder you choose.
LLM: benign (high) · VirusTotal: · 29 May 2026