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京东六大频道聚合入口，超级补贴/新品首发/历史最低价/秒杀/9.9包邮/实时热销一个技能全搞定，仅筛选京东自营商品，好评≥98%品质精选，支持品类搜索、价格筛选和多种排序。自动过滤无效标签，智能品类推荐，频道间互推发现更多好货，数据通过腾讯云代理安全转发。暑期京东好物精选，品质好货推荐

ClawHub Agent Skills author: 购物精选 v1.2.2 MIT-0 4 files body ≈ 415 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

京东六大频道聚合入口，超级补贴/新品首发/历史最低价/秒杀/9.9包邮/实时热销一个技能全搞定，仅筛选京东自营商品，好评≥98%品质精选，支持品类搜索、价格筛选和多种排序。自动过滤无效标签，智能品类推荐，频道间互推发现更多好货，数据通过腾讯云代理安全转发。暑期京东好物精选，品质好货推荐

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

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
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: image_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: 0. 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: image_url
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: image_url
  • 0Tools and files. 1 referenced file(s) missing: image_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. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 415 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
  • +4No input/output examples
  • -213 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 143: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 27 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: clean
This shopping skill is purpose-aligned and disclosed, but users should understand that their shopping queries are sent through the publisher's Tencent Cloud proxy.
LLM: benign (medium) · VirusTotal: · 15 Jul 2026