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Trade Show Lead Recommender
by
weilun88313
· GitHub ↗
· v1.2.0
· MIT-0
103
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install trade-show-lead-recommender
Description
Get AI-ranked exhibitors matching your ICP — shortlist the top accounts worth outreach at any show. "Who should we target at this show?" / "推荐参展商" / "Ausstel...
Usage Guidance
This skill appears coherent and only needs a Lensmor API key to query platform.lensmor.com. Before installing: (1) Confirm you trust Lensmor (review the linked GitHub/homepage and API docs) because requests and results are sent to their service; (2) Treat LENSMOR_API_KEY like any secret — do not paste it into public chat logs, use least-privilege/rotatable keys if possible, and monitor usage; (3) Be aware results may be handed to other trade-show skills (contact-finder, outreach templates) — review those skills if you care about downstream data sharing; (4) If you need stronger guarantees, ask the vendor about data retention, privacy, and scope of the API key. Overall the skill is internally consistent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: trade-show-lead-recommender
Version: 1.2.0
The trade-show-lead-recommender skill is a legitimate tool designed to help users identify and rank exhibitors at trade shows using the Lensmor API (platform.lensmor.com). The SKILL.md instructions provide a clear, functional workflow for an AI agent to validate API keys, query event data, and format recommendations without any signs of malicious intent, data exfiltration, or unauthorized command execution. It includes safety rules such as preventing the disclosure of the LENSMOR_API_KEY and avoiding the exposure of internal endpoint paths.
Capability Assessment
Purpose & Capability
Name/description match the observed behavior: the skill only needs a Lensmor API key and describes calling Lensmor endpoints to resolve an event and fetch exhibitor recommendations. Nothing requested (no unrelated credentials or binaries) is disproportionate to a trade-show recommender.
Instruction Scope
SKILL.md instructs the agent to verify LENSMOR_API_KEY, look up an event_id, call Lensmor endpoints, interpret the response, and (optionally) hand off results to related skills. It does not instruct reading unrelated files, searching shell history, or posting data to endpoints outside platform.lensmor.com or the documented Lensmor contact email.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded during installation, which minimizes install-time risk.
Credentials
Only one environment variable (LENSMOR_API_KEY) is required and it's justified by the documented API calls. No other secrets or unrelated environment/config paths are requested.
Persistence & Privilege
The skill is user-invocable, not forced-always, and uses normal autonomous invocation settings. It does not request persistent platform-wide privileges or modify other skills' configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trade-show-lead-recommender - After installation, invoke the skill by name or use
/trade-show-lead-recommender - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
Version 1.2.0
- Major documentation and guidance update: new SKILL.md provides detailed, step-by-step instructions and filter strategies for lead recommendations.
- Comprehensive workflow: covers API key validation, event selection, ICP-based filtering, API call structure, response interpretation, and formatted output.
- Added advanced filter recommendations (e.g., employee count, location, categories) for more precise exhibitor shortlisting.
- Enhanced output formatting guidance, including clear ranking tables and ICP match rationale for recommendations.
- Explicit error handling instructions included for common API issues.
- Now supports multi-language prompts for exhibitor recommendation requests.
Metadata
Frequently Asked Questions
What is Trade Show Lead Recommender?
Get AI-ranked exhibitors matching your ICP — shortlist the top accounts worth outreach at any show. "Who should we target at this show?" / "推荐参展商" / "Ausstel... It is an AI Agent Skill for Claude Code / OpenClaw, with 103 downloads so far.
How do I install Trade Show Lead Recommender?
Run "/install trade-show-lead-recommender" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trade Show Lead Recommender free?
Yes, Trade Show Lead Recommender is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trade Show Lead Recommender support?
Trade Show Lead Recommender is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trade Show Lead Recommender?
It is built and maintained by weilun88313 (@weilun88313); the current version is v1.2.0.
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