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-giveaway-plannergit 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-giveaway-planner)<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/booth-giveaway-planner"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/booth-giveaway-planner/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-giveaway-planner"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/booth-giveaway-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.01363 |
| Opus 5.5 | $0.00011 | $0.00545 |
| Sonnet 5.5 | $0.00005 | $0.00273 |
| Haiku 4.5 | $0.00003 | $0.00136 |
Grade A, and why
booth-giveaway-planner 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 1mo 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Booth Giveaway Planner
Generate trade show giveaway ideas that reinforce your brand story — not generic swag that ends up in the hotel bin.
When this skill triggers:
- Use it when the team is deciding what to give broadly, what to gate, and how swag supports booth traffic goals
- Use it after the product story, ICP, and booth objective are clear enough to evaluate giveaway fit
- Do not use it as a full booth-budget planner; use
trade-show-budget-plannerfor total event spend
Example Requests
- What should we give away at the booth?
- 展会礼品怎么选
- Messegeschenke planen
- ノベルティを選ぶ
- regalos para el stand
Workflow
Step 1: Gather Context
Extract from the user's request. Ask only for what's missing and critical.
Required:
- Industry / vertical (e.g., medical devices, industrial automation, SaaS)
- ICP / target visitor (titles, company type, seniority level)
- Your product or solution (one sentence — what problem does it solve?)
- Budget (per-item unit cost, or total giveaway budget for the show)
Helpful:
- Show name (some shows have restrictions on giveaway items)
- Booth size / expected foot traffic (affects quantity planning)
- Primary goal: brand awareness, lead capture, meeting scheduling, or product demo uptake
- Any existing brand assets: colors, taglines, mascots
If the user provides minimal info (e.g., "giveaway ideas for a packaging machinery company at Interpack, budget $8/item"), work with what you have and make reasonable assumptions — don't ask 5 questions.
Step 2: Classify the Giveaway Strategy
Before generating ideas, choose the right mix based on goals and budget:
Branded Utility — items people keep and use daily because they're genuinely useful. These carry the highest brand recall but cost more. Best when budget allows. Examples: quality power banks, cable organizers, pocket tools, notebooks with useful inserts
Conversation Starters — items that spark a booth interaction or are distinctive enough to create curiosity. Useful for driving traffic when combined with a hook. Examples: something interactive, locally themed, or tied to a product demo
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.
- 1mo ago Changed · +3 lines · -67 tokens per session 6814014a99cd
- 2mo ago First seen · 119 lines · 94 tokens per session scan A e3c63f8b964c
booth-giveaway-planner is a skill published in the GitHub repository LensmorOfficial/trade-show-skills (49 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 1,363 once invoked, about $0.0001 per session on Opus 5.5. 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.
booth-giveaway-planner compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| booth-giveaway-plannerLensmorOfficial/trade-show-skills | Skill | 49 | 1mo ago | MIT | A | 27 | Claude Code, Codex |
| mcp-host-styling-integrationa5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 44 | Claude Code |
| cog-knowledge-consolidationa5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 19 | Claude Code |
| formula-authoringa5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 28 | Claude Code |
| quality-hooksa5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 53 | Claude Code |
| ops-arLifecycle-Innovations-Limited/claude-ops | Skill | 548 | 4d ago | MIT | A | 29 | Claude Code |
| ops-marketingLifecycle-Innovations-Limited/claude-ops | Skill | 548 | 4d ago | MIT | A | 29 | Claude Code |