participants

participants is a skill for Claude Code from Josh-E-S/awesome-pexip-skills. It costs 94 tokens per session (2,887 once invoked), scanned A, original, MIT.

A participant-management implementation guide for meeting software, covering rosters, roles, filters, search, raised hands, breakout rooms, and participant events.

In plain words
What is it for?
Use it when building participant lists, host or guest filters, mute, kick, admit, raise-hand, search, or breakout-room behavior.
Why use it?
Meeting rosters involve many interacting states, so ad hoc filtering and caching can miss edge cases.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pexip plugin — 17 skills shipped together

Good fit Use it when building participant lists, host or guest filters, mute, kick, admit, raise-hand, search, or breakout-room behavior.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/josh-e-s/awesome-pexip-skills/participants
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 Josh-E-S/awesome-pexip-skills --skill participants
Clone the repo
git clone --depth 1 https://github.com/Josh-E-S/awesome-pexip-skills

Made for: Claude Code.

Or install pexip, the plugin that ships this one along with the rest of its 17 skills.

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.

agentmods badge for participants

README.md
[![agentmods](https://agentmods.dev/badge/skills/josh-e-s/awesome-pexip-skills/participants/github.svg)](https://agentmods.dev/skills/josh-e-s/awesome-pexip-skills/participants)
Your own site
<a href="https://agentmods.dev/skills/josh-e-s/awesome-pexip-skills/participants"><img src="https://agentmods.dev/badge/skills/josh-e-s/awesome-pexip-skills/participants/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.

agentmods 80×15 button for participants

Your own site · 80×15
<a href="https://agentmods.dev/skills/josh-e-s/awesome-pexip-skills/participants"><img src="https://agentmods.dev/badge/skills/josh-e-s/awesome-pexip-skills/participants.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,887 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00094 $0.02887
Opus 5 $0.00047 $0.01443
Sonnet 5 $0.00019 $0.00577
Haiku 4.5 $0.00009 $0.00289

Measured 11d ago against content hash 2dd97ae72205, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

participants 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 11d 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.

skills/participants/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pexip participants

The participants list seems simple — show users in the meeting — but webapp3's implementation is the most architecturally dense file in the project. Reasons:

  • A participant has 5+ orthogonal axes (host/guest, in-meeting/external/lobby/transferring, raised-hand, can-fecc, supports-direct-chat)
  • The UI needs filtered, sorted, searched, and cached projections of these
  • Breakout rooms add another dimension (every group has a breakout variant)
  • Participant events fire in batches during reconnect (server replays everyone)
  • Cache invalidation has dependency chains (changing host/guest invalidates "in-meeting" filter)

Webapp3 solves all of this with GroupKey (a 15-value enum) and a reverse-dependency cache invalidation graph. Use it. Don't roll your own — you'll spend a week getting the edge cases right.

The 15 GroupKey values

export enum GroupKey {
    None,                    // Everyone
    Breakout,                // Has media — eligible for breakout assignment
    DirectChat,              // Capability flag
    FECC,                    // Capability flag (far-end camera control)
    Host,                    // Role — only when in-meeting
    Guest,                   // Role — only when in-meeting
    RaisedHand,
    External,                // Service-type connections (recordings, gateway)
    InMeeting,               // The active roster
    Transferring,            // In transit between conferences/rooms
    WaitingInLobby,          // Pending admission
    BreakoutRaisedHand,
    BreakoutExternal,
    BreakoutInMeeting,
    BreakoutWaitingInLobby,
}

A single participant typically belongs to multiple groups (e.g., [None, Breakout, DirectChat, InMeeting, Host, FECC]). The assignGroups helper in createParticipants.ts derives the full set from a Participant object plus a breakoutRoom boolean.

Quick start: wire it up

import {createInMeetingParticipants, GroupKey} from './utils/createParticipants';
import {participantActivityBatchedSignal} from './signals/Participant.signals';

const participants = createInMeetingParticipants(
    infinityClient,                       // exposes admit/kick/mute/setRole
    () => mediaService.media,             // for self-mute (can't use clientApis on self)
    infinityClientSignals,                // onParticipants, onParticipantJoined, etc.
    participantActivityBatchedSignal,     // emits join/leave/update activities
    {                                     // optional: prior state from a transfer
        participants: previousParticipantsMap,
        activities: previousActivitiesArray,
    },
);

// Read filtered participants
const hosts = participants.get({filterBy: GroupKey.Host});
const handsRaised = participants.get({filterBy: GroupKey.RaisedHand});
const lobby = participants.get({filterBy: GroupKey.WaitingInLobby});
const everyone = participants.get({filterBy: GroupKey.InMeeting});

// Search
const filteredHosts = participants.get({
    filterBy: GroupKey.InMeeting,
    searchQuery: 'alice',
});

// Cleanup (call on call end / transfer)
participants.release();

Read the full file on GitHub · 264 lines

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.

  1. 11d ago First seen · 264 lines · 94 tokens per session scan A 2dd97ae72205

Subscribe to this mod's changes

participants is a skill published in the GitHub repository Josh-E-S/awesome-pexip-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 94 tokens to every session and 2,887 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 2026-08-31.

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