Conciseness

The body never explains concepts Claude already knows (no "what is ELF" padding) and stays operational throughout — exact statuses, paths, and formats. Minor trimmable spots (the host invocation table and the "Lesson screen" section) keep it at anchor 4 rather than 5, but nothing rises to the unnecessary explanation of anchor 3.

Actionability

Guidance is fully executable: exact source paths ("learning-paths/reverse-engineering.json"), a copy-paste fetch URL template, concrete preflight checks ("python3 --version reports 3.10 or later"), an exact quiz format ("Reply with one letter: <A|B|C|D>."), and a complete copy-paste-ready progress-file template. Lab commands are appropriately delegated to the lesson files the tutor is instructed to read.

Workflow Clarity

The process is clearly sequenced (preflight → locate/create progress → 8-step teach loop → close) with explicit validation gates and feedback loops: "Never mark a prerequisite complete by assumption", "Mark the row Done only after the checkpoint and quiz are complete", "A fluent explanation does not replace an observed output", and Pending-lab fallback handling. This matches the anchor-5 pattern of sequence plus explicit validation and error recovery.

Progressive Disclosure

The body is well-sectioned with clear navigation, and external references (the manifest, "manuals/reverse-engineering-101/") are explicitly pathed and one level deep. It falls short of anchor 5 because the 14-item checkpoint list and the full progress table are inlined even though the manifest is declared the source of truth — content that could be offloaded or trimmed to keep SKILL.md a pure overview.

Specificity

Concrete actions include "Start or resume this route", "Teaches one lesson per invocation", and "records evidence in REVERSE-ENGINEERING-LEARNING.md" — several specific actions with minor gaps. It sits above anchor 3 (only 1-2 actions) but below anchor 5 because the long colon list ("file formats, disassembly, control flow, lifting...") is domain enumeration rather than distinct action coverage.

Completeness

Both parts are explicit: what — "Focused interactive tutor for the Reverse Engineering path... Teaches one lesson per invocation and records evidence in REVERSE-ENGINEERING-LEARNING.md"; when — "Start or resume this route when a learner wants to read a compiled program". The when-clause is concrete and specific, matching anchor 5 rather than anchor 4's generic "Use when working with PDF files" style.

Trigger Term Quality

Good natural keyword coverage: "reverse engineering", "disassembly", "compiled program", "debugging", "bytecode", "symbolic execution", "diffing" are phrases a learner would plausibly say. Not anchor 5 because common synonyms like "decompile/decompilation", "binary analysis", "assembly", or "hex" are absent.

Distinctiveness Conflict Risk

"the Reverse Engineering path in AI Engineering from Scratch" names a clear niche, and the trigger ("when a learner wants to read a compiled program") is scoped and unlikely to fire for unrelated skills. Overlap risk from generic words like "debugging" is minimal, fitting anchor 5; it is clearly more distinct than anchor 4's "mostly distinct, minor overlap" example.