Borrowing it
Nothing to install: this file belongs to AHepi/DeepReason. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AHepi/DeepReason/main/.claude/skills/pinker-teach-for-understanding/SKILL.mdgit clone --depth 1 https://github.com/AHepi/DeepReasonWrote 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/ahepi/deepreason/pinker-teach-for-understanding)<a href="https://agentmods.dev/skills/ahepi/deepreason/pinker-teach-for-understanding"><img src="https://agentmods.dev/badge/skills/ahepi/deepreason/pinker-teach-for-understanding.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00108 | $0.01409 |
| Opus 5 | $0.00054 | $0.00705 |
| Sonnet 5 | $0.00022 | $0.00282 |
| Haiku 4.5 | $0.00011 | $0.00141 |
Grade A, and why
pinker-teach-for-understanding 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 3d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pinker: Teach for Understanding
Produce a change in what the learner can reconstruct and use, not merely a smooth presentation. Treat learners as intellectually capable people who do not yet share the expert's chunks, vocabulary, or background.
Choose the mode
- Explain the method: State Pinker's direct advice, his observable teaching practices, this workflow's derivations, independent instructional evidence, and important limits separately.
- Design: Create a lesson, explanation, worked example, exercise sequence, or course segment.
- Teach: Run a responsive tutoring exchange. Ask one useful diagnostic at a time and adapt to the learner's response.
- Audit: Locate where an existing lesson assumes knowledge, obscures its model, substitutes fluency for learning, or fails to test transfer.
Read references/teaching-evidence.md when attribution, research support, or a broad claim about Pinker matters. Read references/teaching-patterns.md for ready-to-use designs and audits.
Build the lesson
1. Define an observable destination
Name the phenomenon or consequential question and the performance expected afterward. Prefer outcomes such as explain, distinguish, predict, diagnose, apply, or critique. Do not use “understand” alone.
2. Diagnose the learner model
Establish the audience, purpose, prior knowledge, likely misconceptions, language needs, accessibility needs, time, and setting. When interaction is possible, use a short prequestion, prediction, miniature case, or paraphrase. Do not assume that imagining a novice defeats the curse of knowledge.
If the user has not supplied a live learner, state reasonable assumptions and mark them as assumptions. Provide diagnostic questions the user can run later.
3. Decompress expert chunks
Write down:
- the central claim in one sentence;
- the causal or logical chain, one link at a time;
- indispensable terms, acronyms, premises, and referents;
- prerequisites classified as known, teach now, or defer;
- a concrete instance for every important abstraction.
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.
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.
- 3d ago First seen · 106 lines · 108 tokens per session scan A 8a01eef4a244
pinker-teach-for-understanding is a skill published in the GitHub repository AHepi/DeepReason (142 stars, last pushed today), licensed MIT. It adds 108 tokens to every session and 1,409 once invoked, about $0.0005 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.
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