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BD xiongtao-hanzi-center

雄韬汉字视觉重心分析引擎——基于"分量·距离·斜度"三要素模型，融合启功结字黄金律与阿恩海姆视知觉理论，对任意汉字进行像素级视觉重心计算。当用户问及汉字重心、书法结构、字体平衡、"这个字为什么看起来歪"、中宫收紧、结字法则、不同字体的重心差异时使用。支持楷/宋/黑/仿/明/思源6种字体切换、多字对比、中宫热力分析，默认输出可视化PNG图片。雄韬出品。

ClawHub Agent Skills author: xtoyun v1.0.1 MIT-0 5 files body ≈ 603 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

雄韬汉字视觉重心分析引擎——基于"分量·距离·斜度"三要素模型，融合启功结字黄金律与阿恩海姆视知觉理论，对任意汉字进行像素级视觉重心计算。当用户问及汉字重心、书法结构、字体平衡、"这个字为什么看起来歪"、中宫收紧、结字法则、不同字体的重心差异时使用。支持楷/宋/黑/仿/明/思源6种字体切换、多字对比、中宫热力分析，默…

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype 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
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
80
Run on models
none yet
Process rating
D
41/100
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:38
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…FSj+bWLt…2sH/Kn8E…h6w==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:150
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…wHD+vkj3…wBQ/hCAQ…tUp/3Qh6…OOw==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:156
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…CpK+FtMRQVdIMN6/Df5j…tIC+7KYK…qaA==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:209
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…RFW+TK4J…oUr/txX3…6Ns/A==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:239
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…JgI+2Q5U…e1E+Nyvgdz/aIyN…n58/GELp3+w==",
    quoted

Files scanned: 5. 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 41/100

  • 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
  • 40Consistency. Frontmatter name (xiongtao-hanzi-center) differs from the folder (hanzi-center)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100Execution cost. Instruction body is 603 tokens
  • 100Running it twice. No mutating operations

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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 176: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (6 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill is a local Chinese-character visual-balance analyzer that creates reports and optional PNG images without evidence of hidden network access, credential use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 15 Jun 2026