hotplex: Skill for Codex

.agents/skills/hotplex-stt-tts/SKILL.md

hotplex-stt-tts is a skill for Codex from hrygo/hotplex. It costs 65 tokens per session (739 once invoked), scanned A, original, Apache-2.0.

An operator workflow for setting up or repairing HotPlex’s local speech-to-text and text-to-speech runtime. Speech-to-text turns spoken audio into words, while text-to-speech turns written text into audio.

In plain words
What is it for?
Use it when HotPlex is missing speech dependencies or models, or when explicitly initializing or repairing its local voice runtime and verifying warmup, health, and configured message channels.
Why use it?
It checks that the required software, official models, configuration, and services work together. It also provides acceptance checks so an installation is not considered complete merely because packages were installed.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is hrygo/hotplex's own configuration. It tells Codex how to work on hotplex itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hotplex configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hrygo/hotplex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/hrygo/hotplex/main/.agents/skills/hotplex-stt-tts/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/hrygo/hotplex

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.

agentmods badge for hotplex-stt-tts

README.md
[![agentmods](https://agentmods.dev/badge/skills/hrygo/hotplex/hotplex-stt-tts.svg)](https://agentmods.dev/skills/hrygo/hotplex/hotplex-stt-tts)
Your own site
<a href="https://agentmods.dev/skills/hrygo/hotplex/hotplex-stt-tts"><img src="https://agentmods.dev/badge/skills/hrygo/hotplex/hotplex-stt-tts.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 739 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 $0.00065 $0.00739
Opus 5 $0.00032 $0.00369
Sonnet 5 $0.00013 $0.00148
Haiku 4.5 $0.00006 $0.00074

Measured 7d ago against content hash bda269729c7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

hotplex-stt-tts 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 7d 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.

.agents/skills/hotplex-stt-tts/SKILL.md · 39 lines

What it actually says

HotPlex STT/TTS

当 HotPlex 报告缺少 funasr_onnx、MOSS 依赖/模型,或用户明确要求初始化、修复本地语音运行时时使用本 Skill。

这是 operator 流程。安装包、下载模型、修改 .env/config 和重启服务都属于变更;只有用户明确授权对应范围时才能执行。不要暴露凭据、完整环境文件或私有模型/cache 元数据。

详细流程见 references/initialization.md,修改主机前必须先读取。

范围

  • STT:HotPlex localfeishu+local,使用 funasr-onnx 和 SenseVoiceSmall。
  • TTS:HotPlex mossedge+moss,使用 MOSS-TTS-Nano ONNX sidecar。
  • 验收:依赖导入、模型资产、MOSS warmup、hotplex doctor、Gateway 健康度和已配置消息渠道连接。

不要用本 Skill 修改语音功能代码、任意清理 Python 环境、泛化选择模型,或在没有初始化/修复请求时进行只读诊断。

操作规则

  1. 变更前检查已安装 CLI 帮助和当前配置。保留现有 provider、凭据、用户文件和无关环境变量。
  2. 优先在当前 HotPlex home 下使用专用 venv。HotPlex checker 和 MOSS 进程通过 PATH 解析 python3;必须验证同一个解释器能看到全部依赖。不要假设指向 venv 解释器的软链接能保留 venv 识别。
  3. 模型使用 reference 列出的官方 ModelScope 仓库;sidecar 脚本使用官方 MOSS 源码仓库。不要使用管道式 shell 安装器、未经审核的镜像或任意模型文件。
  4. 只做最小配置变更。重启前先验证配置;已安装服务使用原子命令 hotplex service restart,不要拆成手工 stop/start。
  5. 安装成功不等于任务完成:执行验收清单,并分别报告通过、警告、失败和有意未修改的状态。

完成标准

只有所有请求的运行时检查通过,或存在已记录的外部阻塞时,任务才可结束。至少验证:

  • HotPlex 实际调用的解释器可以导入 funasr_onnxonnxruntimeonnx
  • SenseVoiceSmall 资产存在,或已配置 cache 可以解析它们。
  • MOSS TTS 和 codec ONNX 资产完整,localhost 冒烟测试中 /api/warmup-status 达到 ready
  • hotplex doctor --json 没有与请求相关的 STT/TTS/AgentConfig failure。
  • 任何重启后 Gateway 和用户请求的消息渠道仍然健康。
Files

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.

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. 7d ago First seen · 39 lines · 65 tokens per session scan A bda269729c7e

Subscribe to this mod's changes

hotplex-stt-tts is a skill published in the GitHub repository hrygo/hotplex (49 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 739 once invoked, about $0.0003 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.