Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions.
Install Teach Back Evaluator
$ npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GarethManning/education-agent-skills teach-back-evaluator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/student-learning/teach-back-evaluator .claude/skills/teach-back-evaluator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "teach-back-evaluator" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/teach-back-evaluator into .claude/skills/teach-back-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "teach-back-evaluator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/teach-back-evaluatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GarethManning/education-agent-skills teach-back-evaluator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/student-learning/teach-back-evaluator .agents/skills/teach-back-evaluator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "teach-back-evaluator" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/teach-back-evaluator into .agents/skills/teach-back-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "teach-back-evaluator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GarethManning/education-agent-skills teach-back-evaluator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/student-learning/teach-back-evaluator .cursor/skills/teach-back-evaluator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "teach-back-evaluator" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/teach-back-evaluator into .cursor/skills/teach-back-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "teach-back-evaluator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GarethManning/education-agent-skills.git --path skills/student-learning/teach-back-evaluator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GarethManning/education-agent-skills teach-back-evaluator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/student-learning/teach-back-evaluator .gemini/skills/teach-back-evaluator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "teach-back-evaluator" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/teach-back-evaluator into .gemini/skills/teach-back-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "teach-back-evaluator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GarethManning/education-agent-skills teach-back-evaluatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/student-learning/teach-back-evaluator .github/skills/teach-back-evaluator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "teach-back-evaluator" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/teach-back-evaluator into .github/skills/teach-back-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "teach-back-evaluator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GarethManning/education-agent-skills teach-back-evaluator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/student-learning/teach-back-evaluator .opencode/skills/teach-back-evaluator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "teach-back-evaluator" agent skill from https://github.com/GarethManning/education-agent-skills/tree/main/skills/student-learning/teach-back-evaluator into .opencode/skills/teach-back-evaluator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "teach-back-evaluator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
teach-back-evaluator- GitHub stars
- 840
- Token cost
- ~4.1k tokens
- SKILL.md length
- 1,120 words
- Files
- 1
- Skills in repo
- 160
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions.
- Works in 4 steps: The teach-back evaluator requires the AI… → Roscoe & Chi (2007) found that… → The scoring dimensions are approximate… → …
- The learner wants to test their understanding — teaching forces a different kind of organisation than studying
- SKILL.md covers What This Skill Does, Evidence Foundation, System Prompt and Example Transcript, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Teach Back Evaluator is an agent skill from GarethManning/education-agent-skills. The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions. Use when the learner wants to test their understanding — teaching forces a different kind of organisation than studying.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: 165 evidence-grounded AI skills for teachers, school leaders and EdTech builders—pedagogy, learning science, curriculum, assessment and regeneration. Claude, Codex and Hermes.
When your agent uses it
- The learner wants to test their understanding — teaching forces a different kind of organisation than studying
Example prompts
- “/teach-back-evaluator”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- The teach-back evaluator requires the AI to maintain two distinct modes: novice peer and evaluating coach. Inconsistency between these…
- Roscoe & Chi (2007) found that knowledge-telling (recitation) is the default mode for most peer tutors. Without the novice questions…
- The scoring dimensions are approximate and require subject-domain knowledge. "Misconception risk" in particular requires the AI to know…
- The teach-back format is more effective for some content types than others. It works exceptionally well for conceptual material with clear…
What it can do on your machine
Read from SKILL.md and the folder at commit 6bbbce4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Teach Back Evaluator loads about 4.1k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,120 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,120 words (~4,088 tokens).
“The learner teaches the concept to the AI, which plays the role of a curious, slightly confused peer who has not studied this material. The AI asks clarifying questions from the novice perspective — probing gaps in the explanation, asking…”
- name
- teach-back-evaluator
- disable-model-invocation
- false
- user-invocable
- true
- effort
- medium
- skill_id
- student-learning/teach-back-evaluator
- skill_name
- Teach-Back Evaluator
- domain
- student-learning
- domain_number
- 20
- version
- 1.0
- audience
- student
- evidence_strength
- moderate
Files
Just SKILL.md in skills/student-learning/teach-back-evaluator of GarethManning/education-agent-skills.
Open the folder on GitHubat commit 6bbbce4
Compare with similar skills
Teach Back Evaluator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Teach Back Evaluator this skillGarethManning/education-agent-skills | 840 | — | ~4.1k | Automated safety check: Pass | Custom licence | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
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Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
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Categories
Questions about Teach Back Evaluator
What does Teach Back Evaluator do?
The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions. Teach Back Evaluator is an agent skill from GarethManning/education-agent-skills. The learner teaches the concept to the AI, which plays a curious novice peer and identifies gaps through authentic questions.
When should I use Teach Back Evaluator?
Teach Back Evaluator fits situations like: the learner wants to test their understanding — teaching forces a different kind of organisation than studying.
How do I install Teach Back Evaluator in Claude Code?
Run `npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a claude-code`. Or copy the skill folder (skills/student-learning/teach-back-evaluator in GarethManning/education-agent-skills) into .claude/skills/teach-back-evaluator in your project. Claude Code loads it when a task matches its description.
How do I install Teach Back Evaluator in Codex?
Run `npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a codex`. Or copy the skill folder (skills/student-learning/teach-back-evaluator in GarethManning/education-agent-skills) into .agents/skills/teach-back-evaluator in your project. Codex loads it when a task matches its description.
Can I use Teach Back Evaluator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GarethManning/education-agent-skills --skill teach-back-evaluator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/teach-back-evaluator, .gemini/skills/teach-back-evaluator, .github/skills/teach-back-evaluator and .opencode/skills/teach-back-evaluator in your project.
What does Teach Back Evaluator need to run?
SKILL.md names no scripts, command-line tools or credentials: Teach Back Evaluator is instructions for the agent only.
Does Teach Back Evaluator access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Teach Back Evaluator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Teach Back Evaluator use?
Teach Back Evaluator has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Teach Back Evaluator use?
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Teach Back Evaluator?
Skills that share tags, products or a category with Teach Back Evaluator: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Teach Back Evaluator?
GarethManning (a GitHub user) maintains it in GarethManning/education-agent-skills, which has 840 GitHub stars. The repository holds 160 skills in this directory. The repository was last updated on August 28, 2026.
Source: GarethManning/education-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.