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-invitation-writergit 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-invitation-writer)<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/booth-invitation-writer"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/booth-invitation-writer/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-invitation-writer"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/booth-invitation-writer.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 | $0.00024 | $0.01948 |
| Opus 5.5 | $0.00010 | $0.00779 |
| Sonnet 5.5 | $0.00005 | $0.00390 |
| Haiku 4.5 | $0.00002 | $0.00195 |
Grade A, and why
booth-invitation-writer 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 — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Booth Invitation Writer
Generate professional, personalized pre-show invitation emails that get replies — not generic "visit us at booth #123" blasts.
When this skill triggers:
- Use it for pre-show invites, reminder emails, VIP outreach, and meeting-booking sequences tied to a specific event
- Use it after the show, booth message, and offer are already clear enough to invite someone credibly
- Do not use it for post-show follow-up; use
post-show-followupfor that
Example Requests
- Write a booth invite email
- 帮我写展会邀请函
- Messeeinladung schreiben
- 招待メールを書く
- escribir invitación a feria
Workflow
Step 1: Gather Context
Extract from the user's request. Ask for anything critical that's missing.
Required:
- Show name and dates
- Booth number / location (or "TBD" if not assigned yet)
- What they're showcasing (new product, demo, solution area)
Helpful but optional:
- Audience type: prospects, existing customers, partners, press
- Tone: formal/corporate, friendly/startup, technical
- Language: default to English; support any language the user requests
- Primary CTA: book a meeting, stop by the booth, attend a live demo, dinner invite
- Any special hook: live demo, exclusive preview, giveaway, hosted meeting, cocktail event
- Company name and brief description
If the user provides minimal info (e.g., "write a booth invite for MEDICA, booth 5C42"), work with what you have and make reasonable assumptions — don't ask 10 questions.
Step 2: Choose the Right Template Pattern
Match the audience and goal:
Cold prospect invite:
- Lead with their pain point or industry challenge, not your booth number
- Mention something specific about why this show matters for their vertical
- The booth visit is the CTA, not the subject line
- Keep it under 150 words
Existing customer / warm contact:
- Reference the relationship ("Since we last spoke at [event]..." or "As you've been using [product]...")
- Emphasize what's NEW — they already know you
- Offer a specific time slot or priority access
- Warmer tone, can be slightly longer
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 · +4 lines · -67 tokens per session 81795fe3ab09
- 2mo ago First seen · 174 lines · 91 tokens per session scan A b6e043bc297b
booth-invitation-writer is a skill published in the GitHub repository LensmorOfficial/trade-show-skills (49 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 1,948 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-invitation-writer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| booth-invitation-writerLensmorOfficial/trade-show-skills | Skill | 49 | 1mo ago | MIT | A | 24 | 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 |