SKILLEMALL.ai

BD jisu-express

使用极速数据快递查询 API 查询快递物流轨迹、签收状态,支持自动识别快递公司及顺丰/中通/跨越手机号后四位校验。

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 706 tokens Open the sourcegithub.com analyzed 2 d ago

使用极速数据快递查询 API 查询快递物流轨迹、签收状态,支持自动识别快递公司及顺丰/中通/跨越手机号后四位校验。

As a process D 38/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationLogistics and warehousetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
38/100
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 · 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")

Process rating: all ten parameters 38/100

  • 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 (jisu-express) differs from the folder (express)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 75Steps. 3 steps
  • 100Execution cost. Instruction body is 706 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)
  • +3Description length 57: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.