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BF i-logistics-skill

京东国际物流数据查询技能 核心能力：支持物流轨迹追踪、国际运营指标查询、跨境小包体验指标查询三大功能模块。 1.国际物流轨迹追踪技能 功能描述：查询国际物流单号的实时物流轨迹信息。 支持的单号类型： - FS 开头的京东订单号 - JDW 开头的京东运单号 - 客户运单号 - 承运商运单号 核心能力： - 实时查询物流轨迹 2.供应链运营指标查询 功能描述：可按多种维度查询、对比分析供应链运营指标数据 支持查询如下指标： - 海外仓入库下单件数 - 海外仓入库及时率 - 头程在途体积 - 海外仓入库下单sku数 - 海外仓入库体积 - 海外仓实际出库重量 - 发货及时率 - 海外仓入库重量 - 海外仓入库单量 - 海外仓出库及时率 - 退件件量 - 海外仓目标入库件数 - 海外仓库位合格率 - 海外仓高位拣选比例 - 海外仓蓝牙拣选使用率 - 海外仓入库sku数 - ATTSCAN及时率 - 海外仓配Ascan及时率 - 海外仓24H尾单关闭率 - 头程渗透率 - 海外仓机区D类库存占比 - 海外仓实际出库体积 - 海外仓上架准确率 - 海外仓目标出库单量 - 海外仓目标出库件数 - 海外仓实际出库单量 - 海外仓配Dscan及时率 - 海外仓入库下单量 - 海外仓入库件数 - 退件上架及时率 - 海外仓仓容利用率 - 收货准确率 - 海外仓实际出库件数 - 海外仓退货验收单量 - 全程履约率（供应链） - 全程履约率（跨境小包）

ClawHub Agent Skills author: jdl-external-skills v1.0.1 MIT-0 8 files body ≈ 101 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 34/100 · Will not run — weak spots: steps, result and completion, when it triggers

ReferenceLogistics and warehousetype 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
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
65
Run on models
none yet
Process rating
F
34/100
Will not run
Steps w 15
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.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-password-literal README.md:41
    Hard-coded password / key literal (may be an example)
    api_key=66Pi3xz*******yzNH…cJ4

Files scanned: 3. 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 34/100

  • 0Steps. Prose only: no discrete steps
  • 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 (i-logistics-skill) differs from the folder (i-logisitics-skill)
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 101 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 625: enough signal without eating the budget
  • +4Structure: 3 headings

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This logistics lookup skill matches its stated purpose, but it needs review because it sends token-backed API requests with TLS certificate checks disabled.
LLM: suspicious (high) · VirusTotal: · 29 May 2026