Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Jellypod-Inc/school-skillsnpx agentmods add skills/jellypod-inc/school-skills/lesson-planWrote 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.
[](https://agentmods.dev/skills/jellypod-inc/school-skills/lesson-plan)<a href="https://agentmods.dev/skills/jellypod-inc/school-skills/lesson-plan"><img src="https://agentmods.dev/badge/skills/jellypod-inc/school-skills/lesson-plan/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.
<a href="https://agentmods.dev/skills/jellypod-inc/school-skills/lesson-plan"><img src="https://agentmods.dev/badge/skills/jellypod-inc/school-skills/lesson-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00198 | $0.02523 |
| Opus 5 | $0.00099 | $0.01262 |
| Sonnet 5 | $0.00040 | $0.00505 |
| Haiku 4.5 | $0.00020 | $0.00252 |
Grade A, and why
lesson-plan 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lesson Plan Skill
Generate standards-aligned, pedagogy-grounded lesson plans ready to print or drop into a planner.
When to use this skill
Trigger on any phrase combining topic + grade + duration, or any of these concrete cues:
- "Write me a lesson plan on [topic] for [grade]."
- "I need a [duration] lesson on [topic] by tomorrow."
- "Plan a [grade] NGSS lesson on [topic]."
- "Build a Common Core ELA lesson on [topic] for [grade]."
- "Make a homeschool lesson on [topic] for my [grade]er."
- "Give me a [duration] high school [subject] lesson on [topic]."
- "Draft a kindergarten lesson on [topic]."
- "I need an emergency sub plan for [grade] [subject]."
- "Plan a multi-day unit on [topic] for [grade]."
- "Create an IB MYP lesson on [topic]."
- "Cambridge / IGCSE / A Level lesson on [topic]."
- "TEKS-aligned lesson on [topic] for [grade]."
- "First-year-teacher SOS — [duration] lesson on [topic]."
Inputs
Required:
- Topic — free-text.
- Grade — K, 1, 2, … 12, college, grad, or homeschool-equivalent.
- Duration — minutes (or days × minutes for units).
Optional (reasonable defaults applied if absent):
- Standards framework — defaults by subject (CCSS for ELA/Math, NGSS for Science, general best practice otherwise).
- Pedagogy — default Gradual Release (Fisher & Frey "I do / we do / you do"), with UDL as the lens for differentiation. Auto-overrides to 5E for Science lessons unless user specifies otherwise.
- Class size, prior knowledge level, accommodations (ELL/SPED/Gifted).
Output
- Markdown lesson plan (default). 13 sections — see
references/templates/lesson-plan.mdfor the skeleton. - YAML footer — machine-readable handoff block for sibling skills (
worksheet,quiz-generator,rubric). Spec inreferences/output-contract.md. - Optional PDF — via
shared/scripts/pdf_render.pyif the user asks for a printable version.
Inferring grade from phrasing (before asking)
Ask about grade ONLY if you cannot confidently infer it. Use these cues first:
What ships with it
22 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.
- evals/evals.json 4.0 KB
- references/differentiation/catalog.md 4.3 KB
- references/differentiation/ell-strategies.md 3.1 KB
- references/differentiation/gifted-strategies.md 3.9 KB
- references/differentiation/sped-strategies.md 3.5 KB
- references/edge-cases.md 5.9 KB
- references/grade-calibration.md 4.6 KB
- references/output-contract.md 3.3 KB
- references/pedagogy/5e.md 3.1 KB
- references/pedagogy/gradual-release.md 3.1 KB
- references/pedagogy/madeline-hunter.md 2.0 KB
- references/pedagogy/udl.md 3.8 KB
- references/standards/cambridge.md 2.2 KB
- references/standards/common-core-ela.md 5.0 KB
- references/standards/common-core-math.md 4.8 KB
- references/standards/ib.md 3.5 KB
- references/standards/ngss.md 4.5 KB
- references/standards/state-frameworks.md 4.0 KB
- references/templates/lesson-plan.md 3.1 KB
- references/templates/multi-day-unit.md 2.9 KB
- references/templates/sub-plan.md 2.5 KB
- references/workflow.md 5.3 KB
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.
- 11d ago First seen · 192 lines · 0 tokens per session scan A 7d2849f999a1
lesson-plan is a skill published in the GitHub repository Jellypod-Inc/school-skills (6 stars, last pushed 4mo ago), licensed MIT. It adds 198 tokens to every session and 2,523 once invoked, about $0.0010 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 2026-08-31.
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