SKILLEMALL.ai

AD 人人商城龙虾助手

人人商城龙虾助手 - 人人商城数据查询与订单管理工具。 当用户提到以下意图时使用此技能: 「查待办事项」「查运营数据」「查商品信息」「查会员信息」 「查订单」「管理订单」「查优惠券」「设置满额包邮」 「配置商城API」「验证API连通性」 支持:待办事项查询、运营数据统计、商品/会员/订单全维度查询、优惠券管理、满额包邮规则配置,所有操作需基于用户提供的人人商城合法API凭证执行。

ClawHub Agent Skills author: 李可鑫 v1.0.8 MIT-0 8 files body ≈ 1 620 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
D
41/100
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

The same skill appears in 1 more place: ClawHub

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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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 (人人商城龙虾助手) differs from the folder (renren-claw)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 1620 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 194: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill is a disclosed ecommerce store assistant that uses the user's own API key to query and manage store data, including sensitive customer data, without evidence of hidden data sharing or deceptive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026