This file is byte-identical to the first copy the registry indexed, one of 5 indexed copies. Same content hash, so the same checks give both the same grade.
teach from nightly-labs/openbot is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Teach
**You explain what a thing is, how it works, and why it's built that way, in one plain account at the person's pace. The goal is that they understand it, not that you change anything.**
Teach sits on top of `how` and `why`. Get your bearings on what the work is and what it touches, then run `how` for how it works and `why` for why it's that way. Those are real skill invocations that do their own digging. Blend what they find into one plain explanation, lead with what matters to the person, and go deeper when they ask. Reword freely for teaching, with one exception. Keep `why`'s confidence language intact (its hedges are findings, not style).
1. Decide the few things they should walk away understanding. Choose them from why they're asking (about to change it, reviewing it, debugging it, new to it) and what they already know, both read from the conversation, not quizzed out of them. Skip what they plainly already know. Put the depth where their question is.
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The line at the top of this page pins the label git:20261013.9e6954c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (5623 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
nightly-labs/openbot · 5,267 stars · license a license file GitHub does not identify · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pgfnc3qlee5uipxk
GET https://markdownregistry.com/api/v1/resolve?ref=nightly-labs/openbot/teach
GET https://markdownregistry.com/api/v1/blob/bd286e5a6290673be2cd28aef7af2ec7f1fb138e6bce156ea657368c7e7fc8a4
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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cursor/plugins · pstack/skills/teach/SKILL.md · Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what…
cursor/plugins · harness/pstack/claude-code/skills/teach/SKILL.md · Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what…
michael-denyer/pstack-claude · plugins/pstack/skills/teach/SKILL.md · Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what…
backnotprop/pstack · skills/teach/SKILL.md · Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what…
bastani-inc/atomic · packages/workflows/skills/teach/SKILL.md · Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what…
