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青虎AI 抖音极速上货：用 1688 关键词搜索与商品详情采集热卖货源，经晓风 ERP 查授权账号、选铺货模板后一键批量上架到抖店，并支持上架后查询商品列表、编辑标题图片 SKU 与更换轮播图。当用户要从 1688 采集商品上架抖店、批量铺货、用链接铺货、选铺货模板、编辑已上架的抖店商品时必须触发。关键词：青虎AI、抖音、抖店、上货、铺货、上架、1688、晓风ERP、铺货模板、商品编辑、批量。

ClawHub Agent Skills author: AutoAGC v0.1.3 MIT-0 2 files body ≈ 1 725 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

青虎AI 抖音极速上货：用 1688 关键词搜索与商品详情采集热卖货源，经晓风 ERP 查授权账号、选铺货模板后一键批量上架到抖店，并支持上架后查询商品列表、编辑标题图片 SKU 与更换轮播图。当用户要从 1688…

As a process F 33/100 · Will not run — References files that are not bundled: AUTH_URL

ProcedureCommercetype 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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: AUTH_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: 2. 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: AUTH_URL

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: AUTH_URL
  • 0Tools and files. 1 referenced file(s) missing: AUTH_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
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1725 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 198: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a coherent Douyin shop listing/editing skill with disclosed Qinghu API use and confirmation gates, though users should be aware it may export larger result sets to local files.
LLM: benign (high) · VirusTotal: · 8 Sept 2026