SKILLEMALL.ai

CC trade-show-exhibitor-search

Find exhibitors at a specific trade show or discover exhibitor companies across the Lensmor dataset. "Who is exhibiting at this show?" / "参展商搜索" / "Aussteller finden" / "出展社を探す" / "buscar expositores". find exhibitors, exhibitor list, who is exhibiting, show prospects, 找参展商/展会潜客/谁在参展 Ausstellersuche Ausstellerliste 出展社検索 búsqueda de expositores

ClawHub Agent Skills author: Ivan Xu v1.2.1 MIT-0 4 files body ≈ 1 941 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Find exhibitors at a specific trade show or discover exhibitor companies across the Lensmor dataset.

As a process C 65/100 · Has gaps — References files that are not bundled: website

ProcedureData and analyticsSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
65/100
Has gaps
References files that are not bundled: website
Tools and files w 18
0
Inputs and preconditions w 11
0
Result and completion w 14
60
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: 4. 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: website
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 65/100

Will not run. References files that are not bundled: website
  • 0Tools and files. 1 referenced file(s) missing: website
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 29 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1941 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 346: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 29 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a disclosed Lensmor API helper for finding trade-show exhibitor records, with no hidden execution or persistence found.
LLM: benign (high) · VirusTotal: · 16 Sept 2026