Agent skill

AI Expertise Interrogation Designer

by GarethManning in GarethManning/education-agent-skills

Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence.

Custom licenceAuto-check passedEducation

Install AI Expertise Interrogation Designer

skills CLI
$ npx skills add GarethManning/education-agent-skills --skill ai-expertise-interrogation-designer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install GarethManning/education-agent-skills ai-expertise-interrogation-designer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/GarethManning/education-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-literacy/ai-expertise-interrogation-designer .claude/skills/ai-expertise-interrogation-designer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ai-expertise-interrogation-designer
GitHub stars
840
Token cost
~5.8k tokens
SKILL.md length
1,888 words
Files
1
Skills in repo
160
Repo updated
First seen
Licence
Custom licence

At a glance

Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence.

  • Works in 4 steps: Read the AI's answer to your surface… → Read the AI's answer to your depth… → Read the AI's distortion trap answers.… → …
  • Students know a subject well enough to evaluate AI claims about it
  • SKILL.md covers What This Skill Does, Evidence Foundation, Input Schema and Prompt, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Expertise Interrogation Designer is an agent skill from GarethManning/education-agent-skills. Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence. Use when students know a subject well enough to evaluate AI claims about it.

Its SKILL.md is about 5.8k 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 Education. 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

  • Students know a subject well enough to evaluate AI claims about it

Example prompts

  • “/ai-expertise-interrogation-designer”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the AI's answer to your surface questions. Compare against your documented knowledge. Mark any discrepancies.
  2. Read the AI's answer to your depth questions. Mark CF and MN first — these are most likely.
  3. Read the AI's distortion trap answers. These are where significant distortions are most expected. Mark everything that strikes you as…
  4. For each mark, write one sentence: "The AI says [X]. The reality is [Y]. The gap is [Z]."

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

AI Expertise Interrogation Designer loads about 5.8k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 1,888 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~5.8k

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 1,888 words (~5,796 tokens).

“Generates an activity — Kharbach's (2026) "Funhouse Mirror" — in which students use their own domain expertise as the instrument for detecting AI distortions, omissions, and overconfidence. This reverses the usual expert-novice dynamic in AI evaluation: in most AI literacy…”

— opening of SKILL.md by GarethManning, Custom licence
name
ai-expertise-interrogation-designer
disable-model-invocation
false
user-invocable
true
effort
medium
skill_id
ai-literacy/ai-expertise-interrogation-designer
skill_name
AI Expertise Interrogation Designer
domain
ai-literacy
version
1.0
contributor
Gareth Manning
evidence_strength
moderate
evidence_sources
Chi, Glaser & Farr (1988) — The Nature of Expertise, Ericsson & Smith (1991) — Toward a General Theory of Expertise, Thiede, Anderson & Therriault (2003)…

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/ai-literacy/ai-expertise-interrogation-designer of GarethManning/education-agent-skills.

Open the folder on GitHubat commit 6bbbce4

Compare with similar skills

AI Expertise Interrogation Designer 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.

AI Expertise Interrogation Designer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Expertise Interrogation Designer this skillGarethManning/education-agent-skills840—~5.8kAutomated safety check: PassCustom licence
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch67k—~2kAutomated safety check: PassMIT
Deep Reading Analystginobefun/deep-reading-analyst-skill3544 repos~3.6kAutomated safety check: PassMIT
OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC40k—~1.7kAutomated safety check: NotesMIT
Codebase to Coursezarazhangrui/codebase-to-course5.7k—~4.4kAutomated safety check: PassNone

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Categories

Questions about AI Expertise Interrogation Designer

What does AI Expertise Interrogation Designer do?

Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence. AI Expertise Interrogation Designer is an agent skill from GarethManning/education-agent-skills. Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence.

When should I use AI Expertise Interrogation Designer?

AI Expertise Interrogation Designer fits situations like: students know a subject well enough to evaluate AI claims about it.

How do I install AI Expertise Interrogation Designer in Claude Code?

Run `npx skills add GarethManning/education-agent-skills --skill ai-expertise-interrogation-designer -a claude-code`. Or copy the skill folder (skills/ai-literacy/ai-expertise-interrogation-designer in GarethManning/education-agent-skills) into .claude/skills/ai-expertise-interrogation-designer in your project. Claude Code loads it when a task matches its description.

How do I install AI Expertise Interrogation Designer in Codex?

Run `npx skills add GarethManning/education-agent-skills --skill ai-expertise-interrogation-designer -a codex`. Or copy the skill folder (skills/ai-literacy/ai-expertise-interrogation-designer in GarethManning/education-agent-skills) into .agents/skills/ai-expertise-interrogation-designer in your project. Codex loads it when a task matches its description.

Can I use AI Expertise Interrogation Designer 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 ai-expertise-interrogation-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-expertise-interrogation-designer, .gemini/skills/ai-expertise-interrogation-designer, .github/skills/ai-expertise-interrogation-designer and .opencode/skills/ai-expertise-interrogation-designer in your project.

What does AI Expertise Interrogation Designer need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Expertise Interrogation Designer is instructions for the agent only.

Does AI Expertise Interrogation Designer 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 AI Expertise Interrogation Designer 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 AI Expertise Interrogation Designer use?

AI Expertise Interrogation Designer 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 AI Expertise Interrogation Designer use?

About 5.8k tokens (SKILL.md is roughly 23k 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 AI Expertise Interrogation Designer?

Skills that share tags, products or a category with AI Expertise Interrogation Designer: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 67k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 354 stars) and OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Expertise Interrogation Designer?

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.