learning-path

A command that builds a step-by-step learning order for a target note by following prerequisite links in a knowledge graph.

In plain words
What is it for?
Use it to trace prerequisite chains and create a learning sequence for a note.
Why use it?
It helps show what to learn first when a topic depends on other concepts.

Command

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.

agentmods
npx agentmods add commands/witt3rd/claude-plugins/learning-path
Clone the repo
git clone --depth 1 https://github.com/witt3rd/claude-plugins
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,905 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00009 $0.02905
Opus 5 $0.00005 $0.01452
Sonnet 5 $0.00002 $0.00581
Haiku 4.5 $0.00001 $0.00291

Measured yesterday against content hash 8aec08c9ac21, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

learning-path 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 yesterday.

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.

plugins/azkg/commands/learning-path.md · 447 lines

How it starts

The opening of the file, as written. The whole thing — 447 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Learning Path

Generate an optimal learning sequence for a target note by tracing prerequisite chains through the knowledge graph.

0. Locate AZKG Repository

Check for AZKG_REPO_PATH environment variable:

  • Use bash conditional: if [ -z "$AZKG_REPO_PATH" ]; then REPO_PATH=$(pwd); else REPO_PATH="$AZKG_REPO_PATH"; fi
  • If AZKG_REPO_PATH is set: Use that path as the repository root
  • If AZKG_REPO_PATH is not set: Use current working directory (pwd)
  • Store result as REPO_PATH for all subsequent file operations

All file operations must use REPO_PATH:

  • Read: Read(REPO_PATH/filename.md) or Read("$REPO_PATH/filename.md")
  • Write: Write(REPO_PATH/filename.md) or Write("$REPO_PATH/filename.md")
  • Edit: Edit(REPO_PATH/filename.md) or Edit("$REPO_PATH/filename.md")
  • Grep: Grep(pattern, path=REPO_PATH) or with explicit path
  • Glob: Glob(pattern, path=REPO_PATH) or with explicit path

Example usage:

# Check environment variable
if [ -z "$AZKG_REPO_PATH" ]; then
  REPO_PATH=$(pwd)
else
  REPO_PATH="$AZKG_REPO_PATH"
fi

# Then use REPO_PATH for all operations
Read("$REPO_PATH/agents.md")

Concrete examples:

  • If AZKG_REPO_PATH="/c/Users/dothompson/OneDrive/src/witt3rd/donald-azkg" → Read("/c/Users/dothompson/OneDrive/src/witt3rd/donald-azkg/agents.md")
  • If AZKG_REPO_PATH is not set and pwd is /c/Users/dothompson/OneDrive/src/witt3rd/donald-azkg → Read("agents.md") or use full path from pwd

1. Parse Input

Input format: User provides:

  • A note name: /learning-path mcp_security.md
  • Or just the topic: /learning-path mcp_security

Normalize input:

  • Add .md extension if missing
  • Use Glob to verify the target note exists
  • If not found, suggest similar notes using Glob

2. Load Target Note

Read the target note:

  • Use Read tool to get full content
  • Extract YAML tags and title
  • Parse "Related Concepts" section to get prerequisites

Example:

## Related Concepts

### Prerequisites
- [[mcp_overview]] - Must understand MCP basics first
- [[oauth_fundamentals]] - OAuth is primary auth mechanism

### Related Topics
- [[api_security]] - General API security principles

Read the full file on GitHub · 447 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. yesterday First seen · 447 lines · 9 tokens per session scan A 8aec08c9ac21

Subscribe to this mod's changes

learning-path is a command published in the GitHub repository witt3rd/claude-plugins (2 stars, last pushed 10mo ago), licensed MIT. It adds 9 tokens to every session and 2,905 once invoked, about $0.0000 per session on Opus 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 2026-08-31.