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Trade Show Fit Score
by
weilun88313
· GitHub ↗
· v1.2.0
· MIT-0
95
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0
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0
Active Installs
1
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Install in OpenClaw
/install trade-show-fit-score
Description
Score a trade show against your company profile for an AI-backed exhibit vs. skip decision. "Should we exhibit at this show?" / "这个展会值得参加吗" / "Lohnt sich die...
Usage Guidance
This skill looks coherent and limited in scope, but confirm a few practical points before installing: (1) Verify Lensmor (platform.lensmor.com) is a known/trusted provider and that your account tied to LENSMOR_API_KEY has an appropriate company profile stored (the skill assumes the API key links to your profile). (2) Check Lensmor API docs or support to understand what company data the service stores/uses and the retention/billing implications. (3) Use a scoped API key (not a high-privilege/long-lived secret) when possible and avoid reusing production secrets. (4) If you need offline/manual scoring, consider the companion trade-show-finder skill instead. Overall there are no hidden reads, downloads, or unrelated credential requests in the skill.
Capability Analysis
Type: OpenClaw Skill
Name: trade-show-fit-score
Version: 1.2.0
The skill bundle is a legitimate tool for evaluating trade shows using the Lensmor API. It follows standard security practices, such as explicitly instructing the agent not to leak the API key (LENSMOR_API_KEY) or internal endpoint details in its responses (SKILL.md). The workflow is transparent, using standard HTTP requests to platform.lensmor.com, and lacks any indicators of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The declared purpose (score a trade show against your company profile) aligns with the Lensmor fit-score endpoints described. One minor note: the SKILL.md never shows sending a company profile payload — it appears to rely on the Lensmor account associated with LENSMOR_API_KEY to provide company/profile data. This is a plausible design but is an implicit dependency worth understanding before use.
Instruction Scope
Runtime instructions are narrow and concrete: check LENSMOR_API_KEY is set, optionally resolve an event_id via a search endpoint, then POST event_id to the fit-score endpoint and format the response. The instructions do not read other files, environment variables, or send data to third-party endpoints beyond platform.lensmor.com.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk or downloaded by the skill itself.
Credentials
Only one required env var (LENSMOR_API_KEY) is declared and used; its purpose is clear and proportional to the skill's API calls. No unrelated credentials or config paths are requested.
Persistence & Privilege
Skill is user-invocable, not forced-always, and allows normal autonomous invocation. It does not request elevated platform privileges or attempt to modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trade-show-fit-score - After installation, invoke the skill by name or use
/trade-show-fit-score - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
- Major update: Comprehensive workflow, output, and error handling details added for fit-scoring trade shows via the Lensmor API.
- Expanded multilingual description and use case scenarios for exhibit decision support.
- Clear step-by-step process: API key check, event lookup, fit-score request, response formatting, and user guidance included.
- Score interpretation bands and error messages standardized for consistent user experience.
- Added relationship clarification and routing guidance for use with related skills (`trade-show-finder`, `trade-show-lead-recommender`, `trade-show-budget-planner`).
- Strict output rules and suggestions for next steps now defined.
Metadata
Frequently Asked Questions
What is Trade Show Fit Score?
Score a trade show against your company profile for an AI-backed exhibit vs. skip decision. "Should we exhibit at this show?" / "这个展会值得参加吗" / "Lohnt sich die... It is an AI Agent Skill for Claude Code / OpenClaw, with 95 downloads so far.
How do I install Trade Show Fit Score?
Run "/install trade-show-fit-score" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trade Show Fit Score free?
Yes, Trade Show Fit Score is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trade Show Fit Score support?
Trade Show Fit Score is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trade Show Fit Score?
It is built and maintained by weilun88313 (@weilun88313); the current version is v1.2.0.
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