Conciseness

The teaching steps (0-5) are lean and directive with no explanation of known concepts, but the guardrail 'do not copy ... state into LEARNING.md' and 'do not choose the next numeric Phase 13 lesson' repeat across the three handoff sections (~25 of 183 lines of near-duplicate policy), and the quiz-answer-security rule is stated twice. Efficient overall with minor repetition to trim — not 5, and not 3 since most tokens earn their place.

Actionability

Fully executable instruction guidance: exact file paths ('phases/<phase-dir>/<lesson-dir>/docs/en.md', 'quiz.json'), the raw.githubusercontent.com URL template, exact state-file names, a literal reply format ('Reply with one letter: <A|B|C|D>.'), the N/M score format, the 70% review threshold, and fully-specified Step 0 decision branches. Per the scoring notes, absence of code is not penalized in an instruction-only skill with actionable guidance this concrete.

Workflow Clarity

A clearly sequenced Step 0-5 workflow with decision checkpoints at each branch (found/missing/exhausted state, re-do offer when both warm-up answers are wrong, 70% review queue, phase completion handling). Not 5 because there is no fetch-failure fallback for the remote content source (e.g., network error retrieving en.md or quiz.json) and no validation of retrieved content.

Progressive Disclosure

A well-organized single file with clear section headers, no nested references, and nothing buried — but at 183 lines all routing and handoff policy is inline with no reference files, and the resume-routing table and per-route handoff detail could be externalized. Good structure with minor organization gaps — not 5, since content that could be split out is inlined and no reference bundle exists.

Specificity

Lists five concrete third-person actions ('Reads LEARNING.md, fetches the next lesson, teaches it section by section in the terminal, quizzes at the end, and records progress') plus deployment modes ('Works cloned or entirely over raw.githubusercontent.com'), matching the comprehensive-coverage anchor rather than the minor-gaps anchor below it.

Completeness

Clearly answers both what (the five tutoring actions) and when ('Trigger phrases: ...'), matching the anchor-5 example pattern of concrete trigger phrases attached to an explicit capability list. Not 4, because the when-clause is fully explicit rather than merely present.

Trigger Term Quality

Explicit natural trigger phrases — 'next lesson', 'teach me', 'continue the course', "let's learn", 'resume learning' — cover the synonym space (resume/continue, learn/teach) a learner would naturally say. Not 4, since no commonly used variants are meaningfully missing for this domain.

Distinctiveness Conflict Risk

'AI Engineering from Scratch curriculum' establishes a clear niche, but the generic phrase 'teach me' and the existence of closely related sibling tutor skills (learn-mcp, learn-agent-skills, learn-reverse-engineering) create minor overlap risk — the anchor-4 case of mostly distinct with closely-related overlap. Not 5, because a user saying 'teach me' outside this curriculum could still trigger it.