learning-gap-analyzer

learning-gap-analyzer is a skill for Claude Code, Codex from travisjneuman/.claude. It costs 36 tokens per session (2,572 once invoked), scanned A, original, MIT.

A learning diagnostic that maps what someone knows about a subject and identifies missing knowledge. It can turn those gaps into targeted study plans using spaced repetition, a method of reviewing information at increasing intervals.

In plain words
What is it for?
Use it to assess knowledge, find weak areas, design study plans, and organise review activities for a subject.
Why use it?
It helps replace unfocused studying with a plan based on the learner's current understanding and the topics they still need to practise.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess knowledge, find weak areas, design study plans, and organise review activities for a subject.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/travisjneuman/.claude/learning-gap-analyzer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add travisjneuman/.claude --skill learning-gap-analyzer
Clone the repo
git clone --depth 1 https://github.com/travisjneuman/.claude

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for learning-gap-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/travisjneuman/.claude/learning-gap-analyzer/github.svg)](https://agentmods.dev/skills/travisjneuman/.claude/learning-gap-analyzer)
Your own site
<a href="https://agentmods.dev/skills/travisjneuman/.claude/learning-gap-analyzer"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/learning-gap-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for learning-gap-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/travisjneuman/.claude/learning-gap-analyzer"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/learning-gap-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,572 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.02572
Opus 5.5 $0.00014 $0.01029
Sonnet 5.5 $0.00007 $0.00514
Haiku 4.5 $0.00004 $0.00257

Measured 16d ago against content hash 8f1042a0ee7f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

learning-gap-analyzer 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 16d 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.

skills/learning-gap-analyzer/SKILL.md · 320 lines

How it starts

The opening of the file, as written. The whole thing — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learning Gap Analyzer

Frameworks for diagnosing knowledge gaps, creating targeted remediation plans, and designing effective learning strategies using evidence-based techniques.

Knowledge Mapping

Self-Assessment Matrix

KNOWLEDGE MAP: [Subject/Domain]

Topic                    | Awareness | Understanding | Application | Mastery
                         | (1)       | (2)           | (3)         | (4)
-------------------------|-----------|---------------|-------------|--------
[Subtopic 1]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 2]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 3]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 4]             | [ ]       | [ ]           | [ ]         | [ ]
[Subtopic 5]             | [ ]       | [ ]           | [ ]         | [ ]

LEVELS:
  1 - Awareness:     I've heard of it, can recognize the term
  2 - Understanding: I can explain the concept in my own words
  3 - Application:   I can use it to solve problems independently
  4 - Mastery:       I can teach it, adapt it, and combine with other concepts

SCORING GUIDE:
  Mark your honest current level for each topic.
  Gaps = Topics where your level is below the target level.
  Priority = High target importance + large gap size.

Concept Dependency Map

PREREQUISITE CHAIN: [Domain]

Build knowledge in this order (each level requires prior levels):

Level 1 (Foundations):
  □ [Concept A] → Required for everything else
  □ [Concept B] → Required for everything else

Level 2 (Core):
  □ [Concept C] ← Requires: A
  □ [Concept D] ← Requires: A, B
  □ [Concept E] ← Requires: B

Level 3 (Intermediate):
  □ [Concept F] ← Requires: C, D
  □ [Concept G] ← Requires: D, E

Level 4 (Advanced):
  □ [Concept H] ← Requires: F, G
  □ [Concept I] ← Requires: G

DIAGNOSTIC APPROACH:
  1. Test understanding at Level 3+
  2. If gaps found, trace back to prerequisites
  3. Start remediation at the earliest gap in the chain
  4. Don't skip ahead — build foundations first

Read the full file on GitHub · 320 lines

Changes

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.

  1. 16d ago First seen · 320 lines · 36 tokens per session scan A 8f1042a0ee7f

Subscribe to this mod's changes

learning-gap-analyzer is a skill published in the GitHub repository travisjneuman/.claude (101 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 2,572 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-30.

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