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.
npx agentmods add skills/flagrare/llm-tutor/tutor-pathnpx skills add Flagrare/llm-tutor --skill tutor-pathgit clone --depth 1 https://github.com/Flagrare/llm-tutorWrote 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/skills/flagrare/llm-tutor/tutor-path)<a href="https://agentmods.dev/skills/flagrare/llm-tutor/tutor-path"><img src="https://agentmods.dev/badge/skills/flagrare/llm-tutor/tutor-path.svg" alt="Measured on agentmods" 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 | $0.00116 | $0.01714 |
| Opus 5 | $0.00058 | $0.00857 |
| Sonnet 5 | $0.00023 | $0.00343 |
| Haiku 4.5 | $0.00012 | $0.00171 |
Grade A, and why
tutor-path scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tutor Path
This skill renders the learning path for a tutoring topic — the ordered list of prerequisite concepts with progress markers and dependency annotations. Per design decision D2, the path is generated internally by /tutor-start and kept hidden unless the user explicitly asks to see it; this skill is how they ask.
The format is the "with dependencies" format chosen in D2:
Path for python-decorators (6 concepts):
[✓] 1. closures
[✓] 2. first-class functions
[→] 3. wrapper functions (needs: 1, 2)
[ ] 4. @ syntax (needs: 3)
[ ] 5. decorators with arguments (needs: 3, 4)
[ ] 6. real-world patterns (needs: 4, 5)
State markers:
[✓]— acquired (passed the two-application rule)[→]— currently being taught[ ]— pending (not yet started)
Step 0 — Resolve the target topic
STATE="$CLAUDE_PLUGIN_ROOT/scripts/state.sh"
0a. Subject resolution
If the user provided an argument (e.g., /tutor-path python-decorators), use it as the slug.
If no argument, prefer the in-progress topic. If multiple, ask:
ACTIVE=$(bash "$STATE" get '[.topics | to_entries[] | select(.value.status == "in_progress") | .key]')
ACTIVE_COUNT=$(echo "$ACTIVE" | jq 'length')
- 0 in-progress, 0 completed: "No topics yet. Run
/tutor-start <subject>to begin one." Exit. - 0 in-progress, ≥1 completed: ask which completed topic, or suggest
/tutor-statusfor the overview. Exit. - 1 in-progress: use that slug.
- multiple in-progress: ask "Which topic's path? [list slugs]"
0b. Validate
EXISTS=$(bash "$STATE" get ".topics[\"$SLUG\"] // null")
If EXISTS is null, tell user: "No topic named $SLUG. Run /tutor-status to see what you've started." Exit.
Step 1 — Render the path
Read the concepts array and render each one with its status marker and dependency annotation. The rendering is a bash loop — clearer than one giant jq expression and easier to debug if any field is missing.
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.
- 5d ago First seen · 144 lines · 116 tokens per session scan A d8894409d01e
tutor-path is a skill published in the GitHub repository Flagrare/llm-tutor (5 stars, last pushed 3mo ago), licensed MIT. It adds 116 tokens to every session and 1,714 once invoked, about $0.0006 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.
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