lesson-language-phone-practice

lesson-language-phone-practice is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 40 tokens per session (1,356 once invoked), scanned A, original, MIT.

A short phone role-play based only on language from a completed lesson. It normally prepares a preview and, after explicit learner consent and approval, can support one bounded practice call with transcript-based learning observations.

In plain words
What is it for?
Use it to practise a target-language scenario, rehearse two or three taught phrases, and give a teacher structured observations about the learner's performance.
Why use it?
Language learners need practice using the phrases they were actually taught, while live calls require clear consent, a destination, and an approved plan. It avoids inventing lesson content or treating an unapproved call as practice.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to practise a target-language scenario, rehearse two or three taught phrases, and give a teacher structured observations about the learner's performance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/lesson-language-phone-practice
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 CALLE-AI/awesome-phone-call-agents --skill lesson-language-phone-practice
Clone the repo
git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents

Made for: Claude Code, 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 lesson-language-phone-practice

README.md
[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/lesson-language-phone-practice/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/lesson-language-phone-practice)
Your own site
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/lesson-language-phone-practice"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/lesson-language-phone-practice/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 lesson-language-phone-practice

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/lesson-language-phone-practice"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/lesson-language-phone-practice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,356 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 $0.00040 $0.01356
Opus 5.5 $0.00016 $0.00542
Sonnet 5.5 $0.00008 $0.00271
Haiku 4.5 $0.00004 $0.00136

Measured 1mo ago against content hash c375f5caa413, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lesson-language-phone-practice 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 1mo 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/lesson-language-phone-practice/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lesson Language Phone Practice

Create one target-language phone role-play from a completed lesson, aiming for about 30 seconds and ending by 60 seconds. Default to preview only. Do not place a live call unless learner consent, destination, exact call plan, provider readiness, and one-call approval are all explicit in the current workflow.

Read references/safety.md before preparing any live path. Read references/examples.md when shaping a preview or interpreting a result.

Required inputs

Require all of these from an authoritative lesson or trainer-owned record:

  • completed lesson/activity reference;
  • lesson aim, stage aim, Can-do objective, and grammar target;
  • one scenario; the lesson-plan phrases themselves are the narrow communication goals and assessment targets;
  • two or three exact taught phrases selected from the lesson record;
  • optional learner support or caller wording;
  • trainer note or observed practice need;
  • learner consent covering an AI call and transcript/result handling;
  • one authorized E.164 destination, its supported region, and locale;
  • a configured phone provider whose credentials stay in the host secret store.

Do not invent taught phrases, use unrelated learner data, scrape a number, infer a country code, or accept a browser/client result as evidence.

Workflow

  1. Freeze a preview containing the lesson reference, aims, Can-do, grammar, scenario, exact lesson-plan phrases, support, roughly 30-second target, 60-second maximum, one opportunity per phrase, and at most one contextual repair. Never ask the teacher to invent or replace assessment phrases in the phone task.
  2. Show the complete generated brief and success conditions to the trainer. Permit edits to the scenario, fixed facts and learner support, but never to provenance, lesson-plan phrases, call aims or phrase-derived success evidence. Require explicit trainer approval before assignment.
  3. Validate the destination against canonical E.164: a plus sign followed by a nonzero country code and 8–15 digits total. Validate region and locale against the provider's current supported list. Mask the destination in output, for example +1415•••0100.
  4. Confirm the learner explicitly consented to this purpose, destination, AI caller, timing, and transcript/result retention. One lesson or earlier call does not imply consent now.
  5. Produce the dry-run preview. State clearly: No call has been placed.
  6. Before live dispatch, show the exact masked recipient, purpose, phrases, provider, timing, data handling, one-call rule, and disable behavior. Wait for fresh approval for exactly one call.
  7. Reserve a durable operation before calling. Derive one stable idempotency key from the lesson-practice authorization, not a click, timestamp, retry counter, or random value. Persist the provider call ID immediately when returned.
  8. Submit once. A timeout, restart, ambiguous response, failure, voicemail, wrong person, or no answer never authorizes a new key or redial. Recover only the same operation through documented idempotent replay or the stored call ID.
  9. Poll the stored call ID to a documented terminal state. Do not treat provider task completion as proof that the language goal was demonstrated.
  10. Reconcile structured output against speaker-labelled transcript turns. Only learner speech may support phrase use or appropriateness. Unknown speakers, missing transcript, unsupported phrases, out-of-window duration, or ambiguous endpoint must return insufficient evidence.
  11. Return the bounded result and masked operation summary. Do not turn it into a generic score, proficiency level, mastery claim, credential, reward, readiness decision, or progression change.

Read the full file on GitHub · 90 lines

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. 1mo ago First seen · 90 lines · 40 tokens per session scan A c375f5caa413

Subscribe to this mod's changes

lesson-language-phone-practice is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,356 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-15.

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