trtc-conference

trtc-conference is a skill for Claude Code from Tencent-RTC/agent-skills. It costs 153 tokens per session (4,427 once invoked), scanned A, original, MIT.

A guided workflow for building a TRTC Conference web application step by step. TRTC Conference provides real-time group video and voice communication in a web app.

In plain words
What is it for?
Use it to add conference rooms, group video meetings, or voice chat rooms to a web application.
Why use it?
It helps match the intended scenario to the right integration method and guides implementation through small validated steps.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the trtc-agent-skills plugin — 12 skills, 3 hooks shipped together

Good fit Use it to add conference rooms, group video meetings, or voice chat rooms to a web application.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tencent-rtc/agent-skills/trtc-conference
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 Tencent-RTC/agent-skills --skill trtc-conference
Clone the repo
git clone --depth 1 https://github.com/Tencent-RTC/agent-skills

Made for: Claude Code.

Or install trtc-agent-skills, the plugin that ships this one along with the rest of its 12 skills, 3 hooks.

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 trtc-conference

README.md
[![agentmods](https://agentmods.dev/badge/skills/tencent-rtc/agent-skills/trtc-conference/github.svg)](https://agentmods.dev/skills/tencent-rtc/agent-skills/trtc-conference)
Your own site
<a href="https://agentmods.dev/skills/tencent-rtc/agent-skills/trtc-conference"><img src="https://agentmods.dev/badge/skills/tencent-rtc/agent-skills/trtc-conference/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 trtc-conference

Your own site · 80×15
<a href="https://agentmods.dev/skills/tencent-rtc/agent-skills/trtc-conference"><img src="https://agentmods.dev/badge/skills/tencent-rtc/agent-skills/trtc-conference.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,427 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00153 $0.04427
Opus 5 $0.00077 $0.02214
Sonnet 5 $0.00031 $0.00885
Haiku 4.5 $0.00015 $0.00443

Measured 6d ago against content hash ae4668f04d86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

trtc-conference 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 6d ago.

The scan reads SKILL.md. This mod also ships 30 executable files (hooks/pretooluse_require_business_decisions.py, references/local-usersig/basic-info-config.ts, references/local-usersig/lib-generate-test-usersig-es.min.d.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/trtc-conference/SKILL.md · 312 lines

How it starts

The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.

trtc-conference — Conference 集成域技能

前置说明

你的角色:协同开发者。你扫描用户项目、按 slice 最佳实践生成代码。代码写入在 flows/onboarding.md → topic 的 slice 循环中完成,每步通过 python3 -m tools.apply 静默结构门控—— 用户不感知这个过程,也不要主动提起。

调用入口:本文件由 trtc/SKILL.md 在 product=conference 时 Read。
当前支持范围:Conference × Web。其他平台进入本文件后应告知用户暂不支持并给出官方文档链接。

Python tools:执行任何 python3 -m tools.* 命令时,必须从当前 trtc skill 根目录执行(例如先 cd "<当前 trtc skill 目录>")。不要依赖客户项目根目录 存在 tools/ 包。

Reporting boundary:Root/host bootstrap 统一处理本轮 Prompt、路由和 Host Stop notice;若本 Skill 被直接调用且 Host 未记录本轮,才用 stdin Prompt 入口补一次。普通失败继续业务流程;不得恢复旧 MCP 或独立 send 路径。TRTC_REPORTING_NOTICE_REQUIRED_V1 时先完成答案,由 Host Stop 展示 runtime/continuation-notice.md,模型不得自行附加或改写。 动态澄清问题前保留 context --question;固定选项仍使用标准选项 UI。Root/Host 负责路由与 notice 展示,业务 Skill 不得恢复旧 MCP 或独立 send 路径。


Direct-Route Bootstrap

当 dispatcher 识别到 Conference Web 的 direct walkthrough 请求(例如用户明确说 “直接带我一步一步搭 1v1 视频会议”)时,本文件承担 topic bootstrap,并负责把会话引导到 conference topic flow。

bootstrap 规则:

  • 若 session 不存在:先通过 python3 -m tools.session create --product conference --platform web --intent integrate-scenario --project-root "<projectRoot>" 创建会话;随后在进入 topic 前,按当前 state_version 用 python3 -m tools.session write-batch --project-root "<projectRoot>" 补齐最小 bootstrap 字段集(至少包含 active_flow=topiccoverage_decided=false,以及已知的 scenario / active_domain_skill / flow_entered)。不要手动编辑 .trtc-session.yaml
  • 若 session 已存在且 active_flow = topic:直接恢复 topic 路径。
  • 若用户已明确给出 Conference Web 场景:允许跳过 capability overview,但必须把 scenario 写入 session,并显式写 coverage_decided = false,让 flows/topic.md 的 Step 1.5 正常接手 coverage 决策;bootstrap 不负责猜最终 coverage。
  • 若 scenario 仍不明确:继续走本文件的 A2-Q0 场景确认;不要猜测。
  • bootstrap 完成后,Conference Web topic 一律通过 python3 -m tools.flow enter --phase topic --product conference --platform web 进入 flows/topic.md

Conference 以外产品暂不在这里暴露 direct topic bootstrap。


入口:读取 session 状态

读取 {project_root}/.trtc-session.yaml

  • 文件存在且 status = active:优先看 integration_path(topic / medical-quickstart / official-roomkit),若缺失再兼容回退到 active_flow
    • integration_path = medical-quickstart(或兼容态 active_flow = medical-quickstart)→ 续接 playbooks/medical-quickstart.md,STOP
    • integration_path = official-roomkit(或兼容态 active_flow = official-roomkit)→ 续接 playbooks/official-roomkit.md,STOP
    • integration_path = topicactive_flow = onboarding → 续接 flows/onboarding.md,STOP
    • 其他值或为空 → 记录当前 session 数据(scenarioui_modecapability_overview_shownproject_stateintent),继续向下执行,不清空 session
  • 文件不存在或 status = completed:按新会话流程向下执行

Read the full file on GitHub · 312 lines

Files

What ships with it

60 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.

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. 6d ago Changed ae4668f04d86
  2. 11d ago First seen · 312 lines · 153 tokens per session scan A 949c567d8f1c

Subscribe to this mod's changes

trtc-conference is a skill published in the GitHub repository Tencent-RTC/agent-skills (13 stars, last pushed yesterday), licensed MIT. It adds 153 tokens to every session and 4,427 once invoked, about $0.0008 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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