GapHunter

agent
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 5 GitHub stars
Code Uyari
  • Code scan incomplete — No supported source files were scanned during light audit
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose: This tool acts as an adaptive AI tutor that identifies and fills knowledge gaps. It is designed as a prompt or instruction set to work with popular AI agents and IDEs like Cursor, Claude Code, and Copilot.

Security Assessment: Risk: Low. The light audit was unable to scan specific source code files, which appears to be because the tool is primarily a prompt-engineering framework rather than a complex executable software project. It requests no dangerous system permissions, and the README implies it relies on your local AI client's existing capabilities. It is designed to interact passively with whatever environment you run it in, and there is no indication that it accesses sensitive data, executes hidden shell commands, or makes external network requests on its own.

Quality Assessment: Quality is mixed. The project is highly active, with its last push occurring just today. It uses the permissive MIT license and features excellent, detailed documentation. However, community trust is currently very low. With only 5 stars, the tool has not yet been widely peer-reviewed or battle-tested by a large developer community.

Verdict: Safe to use, but users should understand it is a niche, early-stage project rather than a heavily vetted software package.
SUMMARY

The adaptive AI teacher that hunts your knowledge gaps — for devs, PMs, QA, and designers. Works on Claude Code, Cursor, Copilot, Gemini CLI and any LLM agent.

README.md

GapHunter

GapHunter — Locating Knowledge Gaps

The adaptive AI teacher that finds your weak spots and fills them —
for developers, PMs, QA engineers, designers, and complete beginners.

Works on Claude Code, Cursor, GitHub Copilot, Gemini CLI, JetBrains AI,
and any LLM agent. Exports to NotebookLM after every session.


For Everyone

GapHunter is not just for developers. It adapts to who you are:

Role What you get
Junior Dev Analogies, patience, encouragement
Mid-level Dev Balanced depth, real-world examples
Senior Dev Dense mode, edge cases, no hand-holding
Team Lead Architecture and team implications
Product Manager Business analogies, understand WHY devs say what they say
QA Engineer Connect concepts to quality, testing, and deploy pipelines
Designer Visual analogies, understand components and constraints
ADHD / Dyslexia Short chunks, bold terms, no walls of text
Complete Beginner Zero assumed knowledge, everyday analogies only

How It Works

flowchart TD
    A[Start session] --> B[Load progress file]
    B --> C{First run?}
    C -->|Yes| D1[Role?]
    D1 --> D2[Current stack / tools?]
    D2 --> D3[What do you want to learn?\ncurrent stack · new language · specific topic · suggest]
    D3 --> D4[Experience?]
    D4 --> D5[Learning preferences?]
    D5 --> D6[Teaching style?]
    D6 --> D7{Developer?}
    D7 -->|Yes| D8[Light or Deep mode?]
    D7 -->|No| E
    D8 --> E
    C -->|No| E[Show dashboard]
    E --> F{You pick}
    F -->|concept| G[Check prerequisites]
    F -->|suggest| H[GapHunter picks your gap]
    F -->|vocab term| V[Quick definition]
    G --> I[Teach it]
    I --> J[Comprehension check — own words]
    J --> K[Award mastery stars]
    K --> L[Role connection — why this matters for YOUR job]
    L --> M{3 concepts or 20min?}
    M -->|Yes| N[⏸️ Suggest pause]
    M -->|No| O{Ambush due?}
    N --> O
    O -->|Yes| P[⚡ THE AMBUSH]
    O -->|No| E
    P --> Q{Pass?}
    Q -->|Yes| R[Confirm mastery + glazing]
    Q -->|No| S[Drop star + reopen gap]
    R --> E
    S --> E
    V --> E

⏳ Learn While You Wait

AI generating code? Tests running? Build in progress?

Instead of switching tabs:

"teach me event-loop"

3 minutes. One concept. Real retention. Streak maintained.

GapHunter is built for exactly this — short bursts that compound
into deep knowledge over time.


📓 NotebookLM Friendly

NotebookLM is a free Google tool.
You upload documents, then have a conversation about them — or listen
to an auto-generated podcast summarizing what you uploaded.

GapHunter + NotebookLM workflow:

  1. Finish a GapHunter session
  2. Type export session → get a clean markdown digest
  3. Paste it into NotebookLM as a source
  4. Then:
    • Ask it to quiz you on what you learned
    • Ask it to explain something a different way
    • Generate flashcards
    • Listen to the auto-podcast about your session

Perfect for ADHD and dyslexia learners — review the same material
in a completely different format, as many times as you need.


Getting Started (Step by Step)

New here? Follow this. Takes 5 minutes.

Step 1 — Install GapHunter
See the Install section below for your platform.

Step 2 — Open your AI assistant and type:

Use the gaphunter skill

Step 3 — Answer 5 setup questions
GapHunter will ask one at a time:

  • What's your role?
  • What's your current stack or tools?
  • What do you want to learn? (your stack, a new language, a specific topic, or let GapHunter suggest)
  • How long have you been in your field?
  • Any learning preferences? (ADHD/dyslexia or standard)

Honest answers = better lessons.

Step 4 — Pick a teaching style
GapHunter shows 5 options. Pick the one that sounds like you.
You can change it later anytime.

Step 5 — Pick something to learn
Either:

  • Type suggest → GapHunter picks based on your gaps
  • Type teach me [anything] → you pick

Step 6 — Learn it
GapHunter teaches. At the end, explain it back in your own words.
That's the check. No shortcuts.

Step 7 — Export to NotebookLM (optional)
Type export session → paste the result into NotebookLM.
Review it later. Listen to the podcast version. Never forget it again.

Step 8 — Come back tomorrow
Your progress is saved. Your streak continues.
3 days in a row and you're already building a habit most people never manage.


Install

Easiest — any platform

npx skill add gaphunter

Claude Code (manual)

mkdir -p ~/.claude/skills/gaphunter
curl -o ~/.claude/skills/gaphunter/SKILL.md \
  https://raw.githubusercontent.com/petrbui/GapHunter/main/SKILL.md

Gemini CLI (manual)

mkdir -p ~/.gemini/skills/gaphunter
curl -o ~/.gemini/skills/gaphunter/SKILL.md \
  https://raw.githubusercontent.com/petrbui/GapHunter/main/SKILL.md

Then: "Use the gaphunter skill to teach me [concept]"

Cursor / GitHub Copilot / JetBrains AI / Other agents

Copy SKILL.md to your agent's skills directory, then invoke with:

"Use the gaphunter skill to teach me [concept]"


Usage

Say Action
teach me closures Start a lesson
suggest GapHunter picks your next gap
skip closures Quick verify → mark as known
vocab API Plain-English definition, no full lesson
ambush me Fire The Ambush now
my progress Show dashboard
export session Generate NotebookLM digest
switch to visual mode Change teaching style
change focus to [topic] Switch what you're learning without losing progress
continue Override a pause
reset profile Start fresh

Examples

See the examples/ folder for real session transcripts:

  • session.md — PM learning APIs from scratch
  • session-dev.md — Senior dev with Deep Mode, vocab lookup, and The Ambush

Teaching Styles

Style Best for
📱 ADHD/Dyslexia Short chunks, bold terms, no walls of text
📖 Standard Balanced depth
⚡ Dense Seniors, no hand-holding
🧠 Socratic Learn by being questioned
🎨 Visual ASCII diagrams, tables, flow charts

Switch anytime: "switch to visual mode"


Safety

  • Progress saved to ~/.adaptive-teacher-progress.md — fixed path,
    never user-supplied
  • Stores only: topic names, stars, dates, achievement slugs
  • No code, no secrets, no personal data ever stored
  • Light Mode: zero file access
  • Deep Mode: never reads .env, credentials, keys, or secret files
  • Delete the progress file anytime to fully reset — no data elsewhere

License

MIT — free to use, fork, and share.

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