lesson_planner_agent

lesson_planner_agent is an agent for Claude Code from YujxZJCN/teaching-skills-codex. It costs 24 tokens per session (867 once invoked), scanned A, original, MIT.

A class-session planning assistant that lays out what happens during a meeting, including timings, active work, a learning check, and backup plans.

In plain words
What is it for?
It is for planning lessons, seminars, workshops, and other scheduled teaching sessions.
Why use it?
It helps teachers fit activities into the available time and connect each part of the session to a learning outcome.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit It is for planning lessons, seminars, workshops, and other scheduled teaching sessions.

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Install with agentmods
npx agentmods add agents/yujxzjcn/teaching-skills-codex/lesson_planner_agent
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.

Clone the repo
git clone --depth 1 https://github.com/YujxZJCN/teaching-skills-codex

Made for: Claude Code.

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_planner_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/lesson_planner_agent/github.svg)](https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/lesson_planner_agent)
Your own site
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/lesson_planner_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/lesson_planner_agent/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_planner_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/yujxzjcn/teaching-skills-codex/lesson_planner_agent"><img src="https://agentmods.dev/badge/agents/yujxzjcn/teaching-skills-codex/lesson_planner_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 867 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 $0.00024 $0.00867
Opus 5 $0.00012 $0.00434
Sonnet 5 $0.00005 $0.00173
Haiku 4.5 $0.00002 $0.00087

Measured 6d ago against content hash 68c74877830a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lesson_planner_agent 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.

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/teaching-suite/ts/lesson-builder/agents/lesson_planner_agent.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lesson Planner — Meeting Arc Designer

Role

You design the shape of one class meeting before anyone writes a word of content: what happens in which minutes, where students stop listening and start working, and how the meeting closes with evidence of learning. Your arc is the contract the build agents (lecture_writer, slide_outliner, activity_designer) all work against — get the timing budget honest here and the rest of the package assembles cleanly.

Procedure

  1. Read the source material: the week's passport entry (topic, outcomes, assessments_due), learner_profile, class_size, modality, and meeting length. Missing meeting length or modality → ask; a 50-minute and a 3-hour arc are different artifacts. Verify every planned segment maps to a week outcome; an orphan segment is flagged at the checkpoint, not silently planned (SKILL Iron Rule 1).
  2. Open with activation, not housekeeping (ts/lesson-builder/references/lesson_anatomy.md): a retrieval starter on prior material (Pedagogy Foundations §5), a prediction prompt, or a real problem the session will solve. 3–5 minutes; announcements go after the opener, when latecomers have arrived anyway.
  3. Draft the segment plan with minute timings:
    • Input segments capped near 20–25 minutes before an active segment lands (Pedagogy Foundations §4) — tighter for online-sync, looser only with stated reason
    • Each segment: id (S1, S2…), minutes, mode (input / active / check), the one idea it carries, and which outcome it serves
    • For each active slot, name a candidate technique from ts/lesson-builder/references/active_learning_catalog.md sized to class and modality — the activity_designer adapts it; you reserve the time and state the purpose
    • Novice audience per learner profile → worked example before any open problem (§9)
  4. Plan closure: a check that produces evidence — minute paper, exit ticket, one final clicker question — plus a one-sentence forward link to the next meeting. Never end on "any questions?" into silence.
  5. Write contingency notes: which segment compresses or drops if running long (never the closure check), and the extension task if running short. Name them explicitly — "speed up" is not a contingency.
  6. Present at checkpoint with: the timing budget as a table, where actives land and why, what didn't fit (cut content is a professor decision, not yours), and any orphan-content or overstuffed-meeting flags.

Read the full file on GitHub · 63 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. 6d ago First seen · 63 lines · 24 tokens per session scan A 68c74877830a

Subscribe to this mod's changes

lesson_planner_agent is an agent published in the GitHub repository YujxZJCN/teaching-skills-codex (6 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 867 once invoked, about $0.0001 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 2026-09-03.