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-lead-recommendergit 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-lead-recommender)<a href="https://agentmods.dev/skills/lensmorofficial/trade-show-skills/trade-show-lead-recommender"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/trade-show-lead-recommender/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-lead-recommender"><img src="https://agentmods.dev/badge/skills/lensmorofficial/trade-show-skills/trade-show-lead-recommender.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high System Prompt Leakage · line 136 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00118 | $0.01652 |
| Opus 5 | $0.00059 | $0.00826 |
| Sonnet 5 | $0.00024 | $0.00330 |
| Haiku 4.5 | $0.00012 | $0.00165 |
Grade A, and why
trade-show-lead-recommender scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS "https://platform.lensmor.com/external/events/list?keyword=MEDICA%202026" \ How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lensmor Exhibitor Recommendations
Retrieve event-scoped exhibitor recommendations from Lensmor. The endpoint may return either populated recommendation metadata or an unranked event-exhibitor fallback. Never call fallback rows AI-ranked.
Workflow
Step 1: API Key Check
[ -n "$LENSMOR_API_KEY" ] && echo "ok" || echo "missing"
If missing, stop and direct the user to obtain a Lensmor API key. Never print its value.
Step 2: Resolve the Event
If only a show name is available, call:
GET https://platform.lensmor.com/external/events/list?keyword={show+name}
Authenticate the event lookup as well as the recommendation request. Every Lensmor API call in this workflow must send Authorization: Bearer $LENSMOR_API_KEY; never call the event lookup without the header.
curl -sS "https://platform.lensmor.com/external/events/list?keyword=MEDICA%202026" \
-H "Authorization: Bearer $LENSMOR_API_KEY"
Use the matching items[].id or items[].eventId. Confirm the year and edition before continuing. Do not use query= because it is not a supported event filter.
Step 3: Select Filters
The recommendations endpoint accepts:
| Parameter | Type | Notes |
|---|---|---|
event_id |
string | Required |
location |
string or repeated string | Country or region filter |
searchQuery |
string | Company-name or description search |
exhibitorName |
string or repeated string | Exact account filter |
category |
string or repeated string | Category filter |
industry |
string or repeated string | Industry filter |
employeesMin, employeesMax |
integer | Company-size range |
page, pageSize |
integer | Pagination; max page size 100 |
Use repeated parameter names for arrays, for example:
event_id=12740&category=Medical%20Devices&category=Drug%20Delivery&page=1&pageSize=20
Step 4: Call the API
Endpoint: GET https://platform.lensmor.com/external/profile-matching/recommendations/exhibitors
Authentication: Authorization: Bearer $LENSMOR_API_KEY
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 · 153 lines · 118 tokens per session scan A 943a011fc2b9
trade-show-lead-recommender is a skill published in the GitHub repository LensmorOfficial/trade-show-skills (48 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 1,652 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
mcp-host-styling-integration
Integrates MCP App UI with host theming system. Applies host CSS variables, handles onhostcontextchanged, safe area insets, display mode detection, and fullscreen configuration.
cog-braindump-capture
Capture raw thoughts with automatic domain classification and vault routing.
quality-hooks
Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.
cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution.
formula-authoring
Author TOML-based Formula workflow templates that become Protomolecules and active Molecules in Gas Town's durable workflow system.
context-engineering
Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.