ai-oral-coach-skill

ai-oral-coach-skill is a skill for Claude Code from Tencent-RTC/agent-skills. It costs 82 tokens per session (8,003 once invoked), scanned C, original, MIT.

A guided tool for building an AI English-speaking coach with Tencent Cloud TRTC Conversational AI, a service for real-time voice communication.

In plain words
What is it for?
Use it to create English-speaking practice with scenarios, sentence corrections, reply suggestions, and a four-part progress report, or to connect an existing backend.
Why use it?
It lets users practice without working directly in a terminal and provides either a ready-made practice app or an integration path for an existing system.

Skill for Claude Code

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

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

Good fit Use it to create English-speaking practice with scenarios, sentence corrections, reply suggestions, and a four-part progress report, or to connect an existing backend.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tencent-rtc/agent-skills/trtc-ai-oral-coach
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-ai-oral-coach
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 ai-oral-coach-skill

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tencent-rtc/agent-skills/trtc-ai-oral-coach"><img src="https://agentmods.dev/badge/skills/tencent-rtc/agent-skills/trtc-ai-oral-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,003 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 3 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 $0.00082 $0.08003
Opus 5 $0.00041 $0.04001
Sonnet 5 $0.00016 $0.01601
Haiku 4.5 $0.00008 $0.00800

Measured 7d ago against content hash 8e512f715456, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade C, and why

ai-oral-coach-skill scanned grade C with 3 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.

The scan reads SKILL.md. This mod also ships 39 executable files (capabilities/ability-report/src/__init__.py, capabilities/ability-report/src/adapters/__init__.py, capabilities/ability-report/src/adapters/default.py, …), 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

2. Verify retrieval works: `curl -sS -X POST http://localhost:8000/api/v1/kb/retrieve -H 'Content-Type: application/json' -d '{"query":"travel scenario, beginner level English speaking practice topic","top_k":3}'` — expe

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- `chmod 600` the `.env` file after writing.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| 5 | Health check: `sleep 10 && curl -sS http://localhost:8000/api/v1/health` (if fails, `sleep 25` retry / `tail -80 /tmp/coach-start.log`) |
skills/trtc-ai-oral-coach/SKILL.md · 380 lines

How it starts

The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Oral Coach Skill

This file is the Coding Agent's execution SOP. Any intent involving "build / integrate AI oral coach" — read this file first. All script calls must follow §8 Tool Whitelist and use $SKILL_ROOT absolute paths.


0. Path Baseline (Read First)

Variable Meaning Source
SKILL_ROOT This Skill's directory (contains SKILL.md / capabilities/ / scripts/) Absolute path of the Base directory injected by the system when loaded
PROJECT_ROOT User's current workspace root (Path A artifacts land here / Path B integration target) Current workspace root

Hard rules: ① All script/asset commands use $SKILL_ROOT absolute paths — bare relative paths forbidden. ② Substitute $SKILL_ROOT / $PROJECT_ROOT in templates with real absolute paths before execution. ③ If SKILL_ROOT cannot be found, fallback: find "$PWD" -maxdepth 4 -name SKILL.md -path '*oral-coach*'never ask the user to move directories.


1. When to Use

Triggers hit when the user message matches §triggers keywords, or contains "TRTC + oral coach / English speaking practice". Not applicable: Customer service / after-sales → use ai-customer-service Skill; non-TRTC ecosystems (Agora etc.) → route to corresponding Skill. Product positioning: voice-first. Text-only requests → advise the user to configure themselves. This Skill does not produce text-only artifacts.

2. Interaction Language & Copy Style

Determine interaction_lang from the message that triggered this Skill (Chinese → zh / otherwise → en). All guidance, questions, and error messages throughout use interaction_lang; switch immediately if the user requests it mid-session. Do not fix the interaction language based on what language this file is written in. Path A UI defaults to following interaction_lang (practice conversations fixed in English); Path B has no UI — only dialogue / comments / docs language.

Copy style (hard rules): All user-facing guidance must be beginner-friendly

  • Use plain language, no jargon; when terms like UserSig / OpenAPI / adapter appear, explain in one sentence what they do;
  • Each step says "what we're doing now, what you need to do (usually wait), roughly how long";
  • On failure, give "symptom + what to do", never dump raw stack traces;
  • Only ask the user to do one thing at a time.

Read the full file on GitHub · 380 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. 7d ago Changed 8e512f715456
  2. 12d ago First seen · 380 lines · 82 tokens per session scan C a63a4b4be1cd

Subscribe to this mod's changes

ai-oral-coach-skill is a skill published in the GitHub repository Tencent-RTC/agent-skills (13 stars, last pushed 3d ago), licensed MIT. It adds 82 tokens to every session and 8,003 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 3 findings (sends data to an external url, asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.