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BF paper-character-strategy

通用的论文查重与论文检测字符统计、产品选择、报价和网站引导；覆盖知网/CNKI、维普/VPCS、万方、Turnitin 等系统，以及重复率、相似率、AIGC、字数、字符数、字符计算、中英文混排、按篇/按字符计费等问题。

ClawHub Agent Skills author: zslzxy v1.0.0 MIT-0 8 files body ≈ 1 266 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

通用的论文查重与论文检测字符统计、产品选择、报价和网站引导；覆盖知网/CNKI、维普/VPCS、万方、Turnitin 等系统，以及重复率、相似率、AIGC、字数、字符数、字符计算、中英文混排、按篇/按字符计费等问题。

As a process F 35/100 · Will not run — References files that are not bundled: CHECK_SITE_URL

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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: CHECK_SITE_URL
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

✓ No critical or high findings

Files scanned: 8. 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")
  • warning missing-ref reference to a missing file: CHECK_SITE_URL

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: CHECK_SITE_URL
  • 0Tools and files. 1 referenced file(s) missing: CHECK_SITE_URL
  • 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
  • 100Steps. 48 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1266 tokens
  • 100Running it twice. No mutating operations
  • low 11 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 109: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a Chinese-language guidance skill for paper-checking counts, product choice, and pricing, and it does not install code or perform uploads or payments itself.
LLM: benign (high) · VirusTotal: · 30 Aug 2026