Album Review

Deep, source-traceable long-form Chinese album review (乐评). Use when the user names a music credit (artist/composer/band) + an album and wants one comprehensive critique. Triggers: "写一篇深度乐评", "全面评测这张专辑", "$album-review". NOT for audio-gear evaluation (→ hifi-review).

Produce ONE extremely-high-quality long-form 乐评 (10,000–15,000 中文字符) from a primary credit + album name. Deep multi-pass research grounds every discographic fact; strong reasoning forms the critical thesis; a deterministic validator gates length, section coverage, and claim→evidence traceability before anything ships. Speed is not a concern — quality and honesty are the only bars.

Locked decisions (do not re-litigate):

• 中文字符 = CJK 汉字 ONLY (regex [一-鿿]). Latin/digits/punctuation do NOT count toward the 10,000–15,000 window, so padding cannot game the floor.
• Emit a backing JSON (claims[] + evidence[]) alongside the prose, so the traceability gate is machine-checkable. A fact-class claim whose source_id is absent from evidence[] FAILs the gate.
• Research access: at runtime USE web/search tools (WebSearch/WebFetch) for the fan-out when available; degrade honestly to caller-supplied material when offline (set trace.research_mode). Never fabricate to fill a gap or hit the floor.

Steps

1. Preflight + route. Confirm exactly one album + a primary credit. If the input is gear, lyric-translation, or buying advice, do NOT produce a review — route per the description's Do-NOT line. The classifier in scripts/check_review.py:classify_route mirrors this.
2. Classify (runtime judgment, not a fixed enum). Set rich descriptors: idiom, era, role-of-credit, work-vs-performance (classical), and release form (single / EP / LP / box / live). Set the unit of analysis (逐曲 vs 逐乐章 vs 逐碟). Pick the critical lens from the descriptors — never force a pop template onto a symphony or vice versa. Load rules/genre-lenses.md.
3. Research. Build a source roster, breadth-fan-out across angles [artist/genesis, recording/production, the music itself, reception/criticism, comparisons, cultural-historical context], then depth-deepen thin angles. Clean, grade, triangulate. Map every discographic fact to a source_id. For thin (obscure) albums, degrade honestly with explicit 资料不足/公开资料有限 — never invent track/personnel/date specifics. Load rules/research-protocol.md and references/source-roster.md.
4. Reason. Multi-pass: form the critical thesis and per-section judgments; tag each statement grounded-fact vs interpretation.
5. Write. Render the genre-adapted long-form skeleton (assets/review-template.md), 10,000–15,000 中文字符, classical separating WORK from PERFORMANCE and carrying a 参考录音/版本比较 section. Emit the backing JSON (assets/backing.example.json, contract schemas/backing.schema.json).
6. Verify (gate — never ship a FAIL). Run the validator over the review + backing; fix and re-run until exit 0:

   bash

   python3 scripts/check_review.py <review.md> --class standard|classical \
       --backing <backing.json>
   

7. Report. The 乐评 + an 证据附录 (evidence appendix) summarizing sources.

Controls (externalized, not prose-only)

• Length + section + traceability are enforced by scripts/check_review.py (CJK-字 window, genre-adapted section linter) + scripts/validate_backing.py (every fact-class claim's source_id must exist in evidence[]). Ship is blocked on any non-zero exit.
• No buying/price/transaction advice; read-only research.
• Honest degradation for thin-info albums (explicit 资料不足, zero invented specifics).

Metrics

See rules/metric-plan.md: length-window conformance rate (target ≥0.9), ungrounded-claim rate (target 0), section-coverage pass rate, and activation precision vs adjacent skills (album-review vs hifi-review vs lyric-translation).

Modules

File	When to load
rules/research-protocol.md	Step 3 — source roster classes, breadth/depth fan-out, grading, triangulation, honest-degradation.
rules/genre-lenses.md	Step 2 — per-idiom descriptors and which critical dimensions to foreground.
rules/output-template.md	Step 5 — required long-form section skeleton + genre-adaptive substitutions.
rules/metric-plan.md	Metrics — definitions and targets.
references/source-roster.md	Step 3 — concrete music source classes with type/orientation/reliability.

Scripts

File	Usage
scripts/check_review.py	python3 scripts/check_review.py <review.md> [--class standard|classical] [--min 10000 --max 15000] [--backing <backing.json>] — CJK-字 window + section linter + traceability gate. Exit 1 on any violation.
scripts/validate_backing.py	python3 scripts/validate_backing.py <backing.json> — schema + claim→evidence traceability. Exit 1 on any untraced/fabricated fact.

Assets

File	Usage
assets/review-template.md	Fillable 长文骨架 the writer renders into.
assets/backing.example.json	A conforming backing JSON to copy from.
schemas/backing.schema.json	JSON contract for the backing (claims + evidence).

Lifecycle

Version 0.1.0; see CHANGELOG.md. Release gate: ship only when python3 evals/run_all.py is GREEN (length + section + traceability + routing). Roster/template changes require a re-run of the eval fixtures. Rollback = revert to the prior SKILL.md + scripts/.