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 skills add yarikleto/claude-teacher-plugin --skill progressgit clone --depth 1 https://github.com/yarikleto/claude-teacher-pluginWrote 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/yarikleto/claude-teacher-plugin/progress)<a href="https://agentmods.dev/skills/yarikleto/claude-teacher-plugin/progress"><img src="https://agentmods.dev/badge/skills/yarikleto/claude-teacher-plugin/progress.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 5.1 | $0.00034 | $0.00862 |
| Opus 5 | $0.00017 | $0.00431 |
| Sonnet 5 | $0.00007 | $0.00172 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
progress 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 6d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Progress Dashboard
Shows a visual overview of the student's knowledge state from the global education DB.
Process
- Read
~/.local/share/claude-education/dashboard.json - Read
~/.local/share/claude-education/student.jsonfor goals/deadlines - If dashboard doesn't exist, say: "No progress tracked yet. Run
/init-edufirst." - For topics with unresolved misconceptions, read individual
topics/<slug>.jsonfiles - Render the dashboard
Dashboard Format
══════════════════════════════════════════════════
KNOWLEDGE DASHBOARD
══════════════════════════════════════════════════
Overall: N topics tracked · M quizzes taken · avg score: X%
Solid (N) ████████████░░░░░░░░ 60% depth: ██ working
Learned (N) █████░░░░░░░░░░░░░░░ 25% depth: █░ surface
Weak (N) ██░░░░░░░░░░░░░░░░░░ 10%
──────────────────────────────────────────────────
🔴 DUE FOR REVIEW (next_review <= today)
──────────────────────────────────────────────────
· tcp-basics — was solid, due since 2026-03-18
· recursion — learned, due since 2026-03-17
──────────────────────────────────────────────────
WEAK — address these first
──────────────────────────────────────────────────
✗ tcp-congestion — last score: 40% (2026-03-15)
⚠ Misconception: "confused slow start with congestion avoidance"
✗ udp — never quizzed, marked weak in session
──────────────────────────────────────────────────
LEARNED — needs more practice
──────────────────────────────────────────────────
~ docker-networking (working) — next review: 2026-03-22
~ osi-model (surface) — next review: 2026-03-20
──────────────────────────────────────────────────
SOLID — proven understanding
──────────────────────────────────────────────────
✓ tcp-basics (deep) — last reviewed: 2026-03-16
✓ socket-api (working) — last reviewed: 2026-03-14
──────────────────────────────────────────────────
UNRESOLVED MISCONCEPTIONS (N total)
──────────────────────────────────────────────────
· tcp-congestion: "confused slow start with congestion avoidance" (2026-03-15)
· udp: "thought UDP has flow control" (2026-03-14)
──────────────────────────────────────────────────
GOALS
──────────────────────────────────────────────────
· Pass OS exam — deadline: 2026-06-15 (88 days away)
Progress: 3/10 topics solid
══════════════════════════════════════════════════
Suggestion: 2 topics are due for review. Start
with /quiz-me tcp-basics, then address the
misconception in tcp-congestion.
══════════════════════════════════════════════════
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.
- 6d ago First seen · 87 lines · 34 tokens per session scan A 2e2e4d72735f
progress is a skill published in the GitHub repository yarikleto/claude-teacher-plugin (7 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 862 once invoked, about $0.0002 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.
Other skills, from other repositories
panel-review
Seven-role depersonalised panel review of framework artefacts (KUD, criterion bank, LT definition, crosswalk, scope-and-sequence) in sequential-isolation mode. Gate rule mean>=88 AND no role<70.
code-review-coach
Use when the learner wants to practise reviewing existing code, a diff, or a pull request through guided questioning — discovering and justifying findings one concern at a time instead of receiving a dumped list or a rewrite. The first non-DSA skill in this suite. Not for chasing an already-observed concrete failure…
learn-anything
A source-grounded adaptive tutor that tracks proof of mastery rather than content completion. Use it to learn a topic systematically, build a course from PDFs, webpages, transcripts or notes, practice retrieval and transfer, resume a long-running course, or verify whether the learner can recall and apply what they…
learning-mode
Guide active, hands-on learning without completing the chosen learning target for the learner. Use when the user explicitly wants to learn, practice, master, or build something themselves with guidance, especially when a technology or concept is new to them. Diagnose the smallest missing prerequisite, guide prediction…
learn-by-ai
Run long-term, evidence-based adaptive learning from a learner's goals, uploaded materials, diagnostic answers, and prior progress. Use for systematic study plans, Socratic tutoring, layered practice, review, cross-session continuation, or maintaining a knowledge graph and learner record. Do not start the full…
fyuu-tutor
Operate long-running, document-backed tutoring projects that turn trusted materials or goals into adaptive HTML lessons, practice, and evidence-guided next steps. Use when creating, continuing, reviewing, or handing off a private learning project; auditing source materials; planning a curriculum; generating lessons or…