Conciseness

The body is dense and operational — command tables, parameter tables, exact env vars, an index schema — with no explanations of concepts Claude already knows. Minor redundancy (the fiblab MCP URL appears three times, and the extension-boundary guidance is repeated across two sections) keeps it off the 'every token earns its place' anchor.

Actionability

Commands are copy-paste ready with real flags and example values (e.g. `literature-full-text download --entry 1`, `--year-from 2020 --year-to 2024`), configuration is given as exact .env lines, and the index contract is a concrete JSON shape. The `$PYTHON_PATH` placeholder is explicitly resolved by pointing to CLAUDE.md for setup.

Workflow Clarity

The 8-step Recommended Workflow is clearly sequenced with a pre-flight config check (step 1), post-run inspection of papers/literature_index.json (step 6), and an explicit failure-recovery path (mark no-candidate, supplement notes, enrich) for this batch-writing operation. Validation is present but 'inspect' is less explicit than a hard verify step, so it matches anchor 4 rather than anchor 5's explicit validation-with-feedback-loop pattern.

Progressive Disclosure

The body is well-sectioned and both bundle references (references/data-sources.md, references/full-text-retrieval.md) are real files, clearly signaled one level deep with one-line descriptions in a References section. Minor gaps: the full index-contract JSON and the full-text command tables are inlined in SKILL.md, and the bundled scripts/ (search.py, full_text.py) are never referenced from the body.

Specificity

The description names the domain ("academic literature", "research topic") but its only actions are the generic "gathered or refreshed" — no concrete verbs like search, save, or index. It matches the anchor 'Names the domain but actions are minimal or generic' rather than anchor 3, which requires 1-2 concrete actions.

Completeness

The 'when' is explicit and well-scoped ("especially at the beginning of a project"), but the 'what' — searching via an MCP gateway and saving results to papers/ — is only weakly implied inside the when-clause. It sits between anchor 2 ('only when present without what') and anchor 3, noticeably above the pure 'Use when working with documents' example.

Trigger Term Quality

"literature" and "beginning of a project" are natural user phrases, but common variations users actually say — "papers", "related work", "survey", "published on X" — are absent. This lands on 'Some relevant keywords but missing common variations or synonyms', not anchor 4's 'a few natural terms missing' level of coverage.

Distinctiveness Conflict Risk

"Academic literature ... for a research topic" carves a mostly distinct niche, but the thin trigger set leaves minor overlap risk with paper-reading and library-management skills. Not anchor 5, which expects distinct trigger phrases that pin the niche unambiguously.