What is luma-guest-selection?

A review process for selecting pending guests for a host-managed Luma event, using the event's confirmed criteria and registration information.

It is for reviewing guest applications, custom registration answers, and submitted social profiles, approving only people who clearly meet the host's rubric.

It helps approve clear matches while avoiding decisions when information is missing, contradictory, or uncertain.

luma-guest-selection — Skill for Codex by agentrhq

Install

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.

Any agent

npx skills add agentrhq/agent-automation-skills --skill luma-guest-selection

Clone the repo

git clone --depth 1 https://github.com/agentrhq/agent-automation-skills

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/agentrhq/agent-automation-skills/luma-guest-selection/github.svg)](https://agentmods.dev/skills/agentrhq/agent-automation-skills/luma-guest-selection)

Your own site

<a href="https://agentmods.dev/skills/agentrhq/agent-automation-skills/luma-guest-selection"><img src="https://agentmods.dev/badge/skills/agentrhq/agent-automation-skills/luma-guest-selection/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/agentrhq/agent-automation-skills/luma-guest-selection"><img src="https://agentmods.dev/badge/skills/agentrhq/agent-automation-skills/luma-guest-selection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,185 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00046	$0.01185
Opus 5.5	$0.00018	$0.00474
Sonnet 5.5	$0.00009	$0.00237
Haiku 4.5	$0.00005	$0.00119

Measured 2mo ago against content hash 428633bc1913, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

luma-guest-selection scanned grade C 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 2mo 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

Approve only pending guests who clearly satisfy the host's confirmed rubric. For every non-match, missing field, contradiction, unavailable profile, or uncertain identity, leave the guest unchanged. Never decline a guest

skills/luma-guest-selection/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Luma Guest Selection

Core contract

Approve only pending guests who clearly satisfy the host's confirmed rubric. For every non-match, missing field, contradiction, unavailable profile, or uncertain identity, leave the guest unchanged. Never decline a guest.

Prerequisites

This skill uses the official Luma commands provided by Webcmd.

Run node --version; Node.js 20 or newer is required.
Run webcmd --version. If Webcmd is missing, ask before installing it globally with npm install -g @agentrhq/webcmd.
When the agent runtime supports Webcmd skills, refresh them with webcmd skills install --provider codex and load webcmd:webcmd-usage before live Webcmd work. Otherwise use live --help output.
Run webcmd luma --help to verify that the Luma commands are installed. If they are unavailable, follow the webcmd:webcmd-usage discovery order: check a complete Luma-filtered webcmd list -f json result, then, only if it is empty, run webcmd plugin search luma -f json. If a matching plugin is available, ask before installing its returned installSource with webcmd plugin install <installSource>, then rerun webcmd luma --help. If discovery fails or returns no match, stop and report it.
Run webcmd doctor, then webcmd luma whoami -f json. If authentication is required, run webcmd luma login, follow its human handoff, and rerun whoami before continuing.

Workflow

List managed events with webcmd luma events -f json and have the host select the event.
Fetch the complete current pending_approval guest set with webcmd luma guests <eventId> --status pending_approval --limit <N> -f json. Stop on pagination, authentication, or shape errors; never evaluate a partial list.
Inspect standard fields, profiles, and arbitrary answers. Tell the host which evidence fields exist, then ask for approval criteria once. If criteria were already supplied, do not ask again.
Convert the request into required conditions, acceptable evidence, and missing-data handling.

Read the full file on GitHub · 87 lines

Files

What ships with it

1 file 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.

agents/openai.yaml 205 B

Changes

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.

2mo ago First seen · 87 lines · 46 tokens per session scan C 428633bc1913

Subscribe to this mod's changes

luma-guest-selection is a skill published in the GitHub repository agentrhq/agent-automation-skills (3 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 1,185 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Project management

luma-guest-selection next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
luma-guest-selectionagentrhq/agent-automation-skills	Skill	3	2mo ago	MIT	C	46	Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

luma-guest-selection