SKILLEMALL.ai
RU Sign in

CD shopline-builder

SHOPLINE 建站助手 — AI 全程帮用户完成 SHOPLINE 独立站注册和配置，包括自动填写注册表单、配置店铺基础设置、选主题，以及从 Shopify / WooCommerce / Shoplazza 的搬迁引导。北极星指标：首单时间（新手 ≤7 天，搬迁 ≤3 天）。

ClawHub Agent Skills author: zhangsicong-debug v2.2.1 MIT-0 10 files body ≈ 7 709 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureShopifyWordPressInfrastructuretype 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
C
69/100
safety, quality, tests
Safety 60%
75
Quality 40%
61
Run on models
none yet
Process rating
D
42/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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
  • medium Obfuscation obf-hex-escape-chain references/faq-zh.md:572
    Escaped/char-code string obfuscation
    > 来源：[https://help.shopline.com/hc/zh-cn/articles/26399260088089-%E4%B8%BA%E5%95%86%E5%AE%B6%E5%88%9B%E5%BB%BA%E5%BC%80%E5%8F%91%E5%95%86%E5%BA%97](https://help.shopline.com/hc/zh-cn/articles/26399260
  • medium Obfuscation obf-hex-escape-chain references/faq-zh.md:692
    Escaped/char-code string obfuscation
    > 来源：[https://help.shopline.com/hc/zh-cn/articles/5517…my-%E5%B0%86-Meta-%E4%B8%8E-Google-%E5%B9%BF%E5%91%8A%E8%BD%AC%E5%8C%96%E4%B8%BA%E5%8F%AF%E8%A7%84%E6%A8%A1%E5%8C%96%E7%9
  • medium Obfuscation obf-hex-escape-chain references/faq-zh.md:706
    Escaped/char-code string obfuscation
    > 来源：[https://help.shopline.com/hc/zh-cn/articles/55177609514137-%E8%AE%A2%E9%98%85%E5%BC%8F%E7%94%B5%E5%95%86-%E9%80%9A%E8%BF%87%E7%81%B5%E6%B4%BB%E8%AE%A2%E9%98%85%E4%B8%8E%E4%BC%9A%E5%91%98%E5%A5%9
  • medium Obfuscation obf-hex-escape-chain references/faq-zh.md:722
    Escaped/char-code string obfuscation
    > 来源：[https://help.shopline.com/hc/zh-cn/articles/5517…sh-%E9%80%9A%E8%BF%87%E9%AB%98%E7%BA%A7%E5%88%86%E5%B1%82%E8%AE%BE%E8%AE%A1%E6%89%93%E9%80%A0%E9%AB%98%E8%BD%AC%E5%8C%96%E9%82%A
  • medium Obfuscation obf-hex-escape-chain references/faq-zh.md:734
    Escaped/char-code string obfuscation
    > 来源：[https://help.shopline.com/hc/zh-cn/articles/5517…CC-%E8%B7%A8%E9%94%80%E5%94%AE%E6%B8%A0%E9%81%93%E5%90%8C%E6%AD%A5%E4%BB%B7%E6%A0%BC-%E5%87%8F%E5%B0%91%E6%89%8B%E5%8A%A8%E6%93%8D%E4%

Files scanned: 10. 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 body-long SKILL.md body ≈ 7709 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "updated"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "permissions"
  • note frontmatter-key unknown frontmatter key "credentials"
  • note frontmatter-key unknown frontmatter key "dev_artifacts"
  • note frontmatter-key unknown frontmatter key "attribution"
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 42/100

  • 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. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 7709 tokens
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • low The response is described with custom markup (8 tags): a typed call is more reliable

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
  • -259 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 141: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (4 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This SHOPLINE automation appears purpose-aligned, but it needs Review because it contradicts its browser-isolation promise and can make live store and credential-related changes without enough user control.
LLM: suspicious (high) · VirusTotal: · 29 May 2026