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 trade-show-findergit 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/trade-show-finder)<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/trade-show-finder"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/trade-show-finder/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/trade-show-finder"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/trade-show-finder.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 | $0.00096 | $0.02025 |
| Opus 5 | $0.00048 | $0.01012 |
| Sonnet 5 | $0.00019 | $0.00405 |
| Haiku 4.5 | $0.00010 | $0.00202 |
Grade A, and why
trade-show-finder 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Show Finder
Help B2B exhibitor teams decide which shows deserve budget, team time, and follow-up.
When this skill triggers:
- Read references/show-fit-framework.md before scoring or recommending
- For shortlist discovery, comparison, or annual planning, also read references/show-archetypes.md
- Treat this as a show selection skill, not a generic event-directory lookup
Workflow
Step 1: Determine Request Mode
Use one of these four modes:
-
Specific-show decision Example: "Should we exhibit at MEDICA 2026?" Default outcome:
Exhibit,Attend only, orSkip -
Named-show comparison Example: "Compare Interpack and PACK EXPO for us" Default outcome: side-by-side winner with tradeoffs
-
Shortlist discovery Example: "Find the best packaging shows in Europe for a mid-market automation vendor" Default outcome: ranked shortlist with scores
-
Annual planning Example: "What 3 shows should we prioritize this year?" Default outcome: top priorities by tier, not an exhaustive directory dump
If the user is only asking for a factual lookup ("When is MEDICA 2026?"), answer the fact directly, then offer a one-line follow-up such as "If you want, I can score whether it's worth exhibiting for your ICP."
Step 2: Collect Decision Inputs
For comparison, discovery, and annual planning, prioritize these business inputs:
- What the company sells
- ICP / target company type
- Buyer titles or functions
- Primary goal: pipeline, distributor search, partnerships, brand visibility, launch, or market entry
- Target region(s)
- Whether the team plans to exhibit or only attend
Optional inputs:
- Budget band
- Team size
- Timeframe
- Deal size / revenue target
Rules:
- Ask only for missing decision-critical inputs
- Do not fall back to generic questionnaires
- If the show is already named, do not ask for industry or region just to restate the obvious
- If the year is ambiguous for a named show, ask which edition and stop. Never infer the edition from the current date, repository context, or model memory.
What ships with it
6 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 · 202 lines · 96 tokens per session scan A 6e1c0c55d7fc
trade-show-finder is a skill published in the GitHub repository LensmorOfficial/trade-show-skills (48 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 2,025 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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