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.
git clone --depth 1 https://github.com/witt3rd/claude-pluginsWrote 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.
[](https://agentmods.dev/commands/witt3rd/claude-plugins/learning-path)<a href="https://agentmods.dev/commands/witt3rd/claude-plugins/learning-path"><img src="https://agentmods.dev/badge/commands/witt3rd/claude-plugins/learning-path/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.
<a href="https://agentmods.dev/commands/witt3rd/claude-plugins/learning-path"><img src="https://agentmods.dev/badge/commands/witt3rd/claude-plugins/learning-path.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00009 | $0.02905 |
| Opus 5.5 | $0.00004 | $0.01162 |
| Sonnet 5.5 | $0.00002 | $0.00581 |
| Haiku 4.5 | $0.00001 | $0.00291 |
Grade A, and why
learning-path scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 447 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learning Path
Generate an optimal learning sequence for a target note by tracing prerequisite chains through the knowledge graph.
0. Locate AZKG Repository
Check for AZKG_REPO_PATH environment variable:
- Use bash conditional:
if [ -z "$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)orRead("$REPO_PATH/filename.md") - Write:
Write(REPO_PATH/filename.md)orWrite("$REPO_PATH/filename.md") - Edit:
Edit(REPO_PATH/filename.md)orEdit("$REPO_PATH/filename.md") - Grep:
Grep(pattern, path=REPO_PATH)or with explicit path - Glob:
Glob(pattern, path=REPO_PATH)or with explicit path
Example usage:
# Check environment variable
if [ -z "$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
.mdextension 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
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.
- 1mo ago First seen · 447 lines · 9 tokens per session scan A 8aec08c9ac21
learning-path is a command published in the GitHub repository witt3rd/claude-plugins (2 stars, last pushed 1y ago), licensed MIT. It adds 9 tokens to every session and 2,905 once invoked, about $0.0000 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 2026-08-31.
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