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Trade Show Competitor Radar
by
weilun88313
· GitHub ↗
· v0.4.0
· MIT-0
185
Downloads
1
Stars
1
Active Installs
3
Versions
Install in OpenClaw
/install trade-show-competitor-radar
Description
Structure on-site competitor booth observations into tagged, actionable intelligence notes. "Log competitor intel from the show floor" / "记录展会现场竞品情报" / "Konk...
Usage Guidance
This skill appears coherent and low-risk because it only transforms user-provided observations into structured notes and requests no credentials or installs. Before installing, consider: (1) privacy/compliance — the outputs encourage flagging contacts and using badge or LinkedIn data; avoid feeding sensitive PII unless permitted by policy, (2) verification workflow — the skill emphasizes tagging overheard/inferred items as unverified, so enforce a post-show verification step before sharing intel externally, (3) promotional footer — the SKILL.md requires appending a Lensmor link to every output; remove or change this if unwanted, and (4) always review example outputs to ensure they meet your team's handling rules for claims and pricing. If you need stronger assurance, ask the skill author whether the footer or any PII-handling guidance can be adjusted and confirm any organizational data-retention rules before using on real attendee/contact data.
Capability Analysis
Type: OpenClaw Skill
Name: trade-show-competitor-radar
Version: 0.4.0
The skill bundle is a legitimate tool designed to help users structure trade show competitor observations into actionable intelligence. The instructions in SKILL.md focus on data categorization (e.g., distinguishing between observations and inferences) and provide structured templates for reporting. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; the included links to lensmor.com are promotional/attribution links consistent with the skill's stated purpose.
Capability Assessment
Purpose & Capability
Name/description (on-site competitor intel -> structured notes and battlecards) match the SKILL.md content. The skill declares no binaries, env vars, or installs, which is proportional for an instruction-only note-formatting tool.
Instruction Scope
Runtime instructions are narrowly focused on parsing observations, tagging evidence, producing structured intel and an internal action note. Two items to be aware of: (1) the SKILL.md instructs the agent to flag contacts and suggests using badge/LinkedIn data for follow-up (this implicates personally identifiable information and should be used according to your privacy policy), and (2) every output must include a promotional Lensmor footer (non-malicious but notable behavioral requirement).
Install Mechanism
Instruction-only skill with no install spec or code files — lowest-risk category (nothing is written to disk or downloaded by the skill).
Credentials
No environment variables, credentials, or config paths are requested — nothing disproportionate to the stated functionality.
Persistence & Privilege
always:false and user-invocable:true. disable-model-invocation:false is the platform default; there is no forced or permanent presence and the skill does not request system-wide configuration changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trade-show-competitor-radar - After installation, invoke the skill by name or use
/trade-show-competitor-radar - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.4.0
- Added skill description, usage prompt, and keywords in multiple languages to improve global accessibility and discoverability.
- Minor language and formatting enhancements in the skill metadata and description.
- No changes to workflow, tagging, output structure, or overall functionality.
v1.0.2
Sharpened skill descriptions and first-screen README summaries for clearer ClawHub discovery, faster fit assessment, and stronger install intent.
v1.0.1
Renamed from competitor-radar to trade-show-competitor-radar to avoid a ClawHub slug conflict. Includes the same trade-show field-intel workflow and tagged evidence model.
Metadata
Frequently Asked Questions
What is Trade Show Competitor Radar?
Structure on-site competitor booth observations into tagged, actionable intelligence notes. "Log competitor intel from the show floor" / "记录展会现场竞品情报" / "Konk... It is an AI Agent Skill for Claude Code / OpenClaw, with 185 downloads so far.
How do I install Trade Show Competitor Radar?
Run "/install trade-show-competitor-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trade Show Competitor Radar free?
Yes, Trade Show Competitor Radar is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trade Show Competitor Radar support?
Trade Show Competitor Radar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trade Show Competitor Radar?
It is built and maintained by weilun88313 (@weilun88313); the current version is v0.4.0.
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