SKILLEMALL.ai

BC geekbi-mercadolibre-shop-search-skill

使用极鲸云查询和分析 Mercado Libre(美客多)真实店铺数据,支持按站点、店铺名称或 ID、商品数、粉丝数、累计销量、信誉等级和开店时间筛选排序。用户提到美客多店铺、卖家、竞店、头部店铺、新店、信誉、Power Seller 或店铺规模时使用。只依据极鲸云返回数据,不代表卖家中心完整经营报表。

ClawHub Agent Skills author: GeekBI v0.1.0 MIT-0 15 files body ≈ 176 tokens Open the sourceclawhub.ai analyzed 3 d ago

使用极鲸云查询和分析 Mercado Libre(美客多)真实店铺数据,支持按站点、店铺名称或 ID、商品数、粉丝数、累计销量、信誉等级和开店时间筛选排序。用户提到美客多店铺、卖家、竞店、头部店铺、新店、信誉、Power Seller 或店铺规模时使用。只依据极鲸云返回数据,不代表卖家中心完整经营报表。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
C
53/100
Has gaps
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: 14. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 176 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
  • +4No input/output examples
  • -32 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 152: enough signal without eating the budget
  • +4Structure: 3 headings
  • +3Step-by-step instructions: 10 items
  • +4Reference files are cited in the instructions (4 of 4)

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

External checks

ClawHub: suspicious
The skill appears to do the advertised Mercado Libre shop research, but it needs review because its authentication code can be pointed at arbitrary API origins and stores login tokens in multiple local locations.
LLM: suspicious (high) · 7 Sept 2026