Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LensmorOfficial/trade-show-skills --skill booth-script-generatorgit clone --depth 1 https://github.com/LensmorOfficial/trade-show-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lensmorofficial/trade-show-skills/booth-script-generator)<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/booth-script-generator"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/booth-script-generator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/booth-script-generator"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/booth-script-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 88 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00106 | $0.01676 |
| Opus 5 | $0.00053 | $0.00838 |
| Sonnet 5 | $0.00021 | $0.00335 |
| Haiku 4.5 | $0.00011 | $0.00168 |
Grade A, and why
booth-script-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Booth Script Generator
Write booth conversation scripts that help staff turn walk-up strangers into qualified leads — with different paths for different visitor types, not a one-size-fits-all pitch.
The problem with generic booth scripts is that they sound like they were written by someone who has never stood at a booth. A cold visitor who wandered over needs a completely different opening than a warm lead who responded to your invite. This skill accounts for that.
When this skill triggers:
- Use it before the show for staff prep, role-play, and daily briefing cards
- Use it during multi-day events when the booth team needs to reset or sharpen the message overnight
- Do not use it for outbound email copy; use
booth-invitation-writerfor that
Workflow
Step 1: Gather Context
Extract from the user's request. Ask only for what's critical and missing.
Required:
- Company name and what you sell (product + the core problem it solves)
- ICP / target buyer (title, industry, company size)
- Unique value proposition (what makes you different — even one sentence)
- Show name (helps set tone and context)
Helpful:
- Typical deal size and sales cycle (shapes how aggressive the CTA should be)
- Visitor types expected (confirm which paths to generate — see below)
- Any competitor names (for the competitor's customer path)
- Current staff experience level (first-time exhibitors need more structure than veterans)
If minimal info is provided, generate scripts for the two most common paths (Cold Walk-Up and Warm Lead) and offer to add others.
Step 2: Identify Visitor Paths
Generate separate scripts for each applicable visitor type. Don't merge them.
Path A — Cold Walk-Up A stranger who stopped out of curiosity. They have no context. The goal is to establish relevance in 10 seconds and earn 2 minutes of their time.
Path B — Warm Lead Someone who responded to your pre-show invite or is a known contact. They already have some context. Skip the "who we are" basics; focus on what's new and what the next step is.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 154 lines · 106 tokens per session scan A e04e53c4ddb0
booth-script-generator is a skill published in the GitHub repository LensmorOfficial/trade-show-skills (48 stars, last pushed 1mo ago), licensed MIT. It adds 106 tokens to every session and 1,676 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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