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BF exhibitor-show-history

Find every trade show a company has exhibited at using the Lensmor API — for competitive intel, account research, or show circuit mapping. "Which shows has this company exhibited at?" / "这家公司参加过哪些展会" / "Auf welchen Messen war dieses Unternehmen?" / "この会社はどの展示会に出展した?" / "¿En qué ferias participó esta empresa?". company show history, exhibitor history, competitor shows, 参展历史/展会记录/竞品展会 Messehistorie Messepräsenz 出展履歴 historial ferial

ClawHub Agent Skills author: Ivan Xu v1.0.0 MIT-0 2 files body ≈ 2 161 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 54/100 · Will not run — References files that are not bundled: linkedinUrl, url

IntegrationInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: linkedinUrl, url
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.
  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: 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")
  • warning missing-ref reference to a missing file: linkedinUrl
  • warning missing-ref reference to a missing file: url
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: linkedinUrl, url
  • 0Tools and files. 2 referenced file(s) missing: linkedinUrl, url
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 28 steps
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2161 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 434: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 28 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

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

External checks

ClawHub: clean
This is a coherent research skill that uses a Lensmor API key to look up trade show exhibitor history and shows no hidden install, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026