tutor-resume

tutor-resume is a skill for Claude Code from Flagrare/llm-tutor. It costs 95 tokens per session (1,938 once invoked), scanned A, original, MIT.

A resume command for paused llm-tutor learning sessions. It finds an unfinished topic, explains where you stopped, and returns the conversation to the tutor persona.

In plain words
What is it for?
Use it to continue one paused topic, choose between multiple unfinished topics, or see that no topic is currently in progress.
Why use it?
It removes the need to remember which topic was active or reconstruct your progress after a break. Resuming does not charge another cycle.

Skill for Claude Code

Written for Claude Code: $CLAUDE_PLUGIN_ROOT variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the llm-tutor plugin — 12 skills, 1 hook shipped together

Good fit Use it to continue one paused topic, choose between multiple unfinished topics, or see that no topic is currently in progress.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Flagrare/llm-tutor
Claude Code
/plugin install llm-tutor

Made for: Claude Code.

Or install llm-tutor, the plugin that ships this one along with the rest of its 12 skills, 1 hook.

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 tutor-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/flagrare/llm-tutor/tutor-resume/github.svg)](https://agentmods.dev/skills/flagrare/llm-tutor/tutor-resume)
Your own site
<a href="https://agentmods.dev/skills/flagrare/llm-tutor/tutor-resume"><img src="https://agentmods.dev/badge/skills/flagrare/llm-tutor/tutor-resume/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 tutor-resume

Your own site · 80×15
<a href="https://agentmods.dev/skills/flagrare/llm-tutor/tutor-resume"><img src="https://agentmods.dev/badge/skills/flagrare/llm-tutor/tutor-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,938 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 $0.00095 $0.01938
Opus 5 $0.00048 $0.00969
Sonnet 5 $0.00019 $0.00388
Haiku 4.5 $0.00010 $0.00194

Measured 9d ago against content hash 420ce4dd11a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

tutor-resume 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 9d 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.

plugins/llm-tutor/skills/tutor-resume/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tutor Resume

The "pick up where you left off" skill. After a break — minutes, hours, or days — the user invokes this to be re-oriented into their active topic without having to remember the slug or re-invoke /tutor-start.

This skill is read-mostly: it queries state to find the active topic, prints an orientation message, and hands off to the persona. It does NOT charge cycles (the user already paid when they originally invoked /tutor-start on this topic; resume is free).


Step 0 — Defensive setup

STATE="$CLAUDE_PLUGIN_ROOT/scripts/state.sh"
bash "$STATE" init >/dev/null
bash "$STATE" refill-cycles >/dev/null 2>&1 || true

Step 1 — Find active topics

ACTIVE_SLUGS=$(bash "$STATE" get '[.topics | to_entries[] | select(.value.status == "in_progress") | .key]')
ACTIVE_COUNT=$(echo "$ACTIVE_SLUGS" | jq 'length')

Branch: no active topics

If ACTIVE_COUNT is 0:

"No topics in progress. Run /tutor-start <subject> to begin one, or /tutor-status to see your completed topics."

Exit cleanly.

Branch: one active topic

If ACTIVE_COUNT is 1, use that slug. Skip to Step 2.

SLUG=$(echo "$ACTIVE_SLUGS" | jq -r '.[0]')

Branch: multiple active topics

If ACTIVE_COUNT > 1, list them with brief progress info and ask the user to pick.

echo "You have $ACTIVE_COUNT active topics:"
echo
echo "$ACTIVE_SLUGS" | jq -r '.[]' | nl -w1 -s'. ' | while read -r line; do
  # line is "1. slug-name"
  num=$(echo "$line" | cut -d. -f1)
  slug=$(echo "$line" | cut -d'.' -f2- | sed 's/^ //')
  # Display the human name (display_name set at /tutor-start time) when
  # present; fall back to the slug-key for topics created before v0.5.0.
  display=$(bash "$STATE" get ".topics[\"$slug\"].display_name // \"$slug\"")
  acquired=$(bash "$STATE" get ".topics[\"$slug\"].concepts | map(select(.status == \"acquired\")) | length")
  total=$(bash "$STATE" get ".topics[\"$slug\"].concepts | length")
  current_name=$(bash "$STATE" get ".topics[\"$slug\"].concepts[\"$(bash "$STATE" get ".topics[\"$slug\"].current_concept_index")\"].name // \"?\"")
  printf "  %s. %-30s (concept %s/%s: %s)\n" "$num" "$display" "$((acquired + 1))" "$total" "$current_name"
done
echo
echo "Which one are you resuming? (Type the name or the number.)"

Read the full file on GitHub · 167 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. 9d ago First seen · 167 lines · 95 tokens per session scan A 420ce4dd11a6

Subscribe to this mod's changes

tutor-resume is a skill published in the GitHub repository Flagrare/llm-tutor (5 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 1,938 once invoked, about $0.0005 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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