final-review

name	final-review
description	投稿前最终审阅编排器。每轮加载 paper 与 SCIPAPER_STANDARD 作为框架，并在独立 worktree 中运行 paper-review（A–R 全维度，含叙事主线与对抗升级）、figure-review、de-ai（--audit-only 结构 tell 审计）和 parent-level modern-physics-review。合并 sci-paper.feedback.v1 typed findings：科学完整性 blocker 必须解决，L0 target 必须清零，strong advisory 必须 disposition，ordinary advisory 与 unavailable axes 保留报告。连续多轮验证该状态稳定，不把所有 editorial feedback 强行清零，也不输出通用 paper PASS/FAIL。Use for final-review、投稿前总审、submission-readiness evidence gathering 和所有审查 skill 的隔离编排。
disable-model-invocation	false
argument-hint	<file_path> [--max-rounds N] [--skip <skill>[,<skill>...]] [--field <name>] [--out <dir>] [--require-consecutive N]

final-review — isolated typed-review orchestrator

Normative authority: docs/SCIPAPER_STANDARD.md. This skill verifies a stable, disposition-complete review state. It does not certify journal acceptance, authorship, aesthetic perfection or a universal paper PASS.

The required review components are:

1. /sci-paper:paper as the writing and L0 framework;
2. /sci-paper:paper-review for A–R source-traced scientific review, including the narrative-spine protocol (dimension E) and adversarial escalation (dimension M);
3. /sci-paper:figure-review for compiled-page figure evidence;
4. /sci-paper:de-ai in --audit-only mode for the structural-tell and de-AI measurement audit;
5. host-level modern-physics-review, launched by the parent orchestrator to avoid nested agents.

/sci-paper:condense is an action skill, not a reviewer: redundancy findings surface through paper-review dimension I, and the parent routes their fixes to condense during §3.7. Keeping detection in one lane avoids duplicate review surfaces.

0. Hard orchestration rules

1. Run, do not remember. Every round launches fresh isolated reviewers for all non-skipped components. Prior reports are comparison artifacts, not substitutes for current review.
2. Isolation is mandatory. paper-review, figure-review, de-ai and MPR run in separate isolation: worktree agents. The parent loads paper and the standard, merges reports and applies authorized fixes.
3. No nested agents. paper-review receives --no-isolated-mpr; the parent launches MPR at the same level as the other reviewers. paper-review's M.2 escalation is in-process by design. Any child attempt to spawn an agent is a prompt error.
4. Preserve evidence, not verdict authority. The parent may not discard a child finding, but must verify/deduplicate it and type its consequence. A CONFIRMED critique is not automatically an integrity blocker.
5. Merge by structured contract. Each child returns or is normalized to sci-paper.feedback.v1; text and JSON derive from the same findings.
6. Scientific blockers are non-waivable. Incorrect math/physics/statistics, source or citation mismatch, leakage, contradiction, broken required build and missing required artifacts must be resolved or verified false positives.
7. L0 target is zero. Tier A, em-dash and Tier B excess must be removed.
8. Advisories use dispositions. Strong advisories must be acted, accepted, rejected as false positives, or pending with a stated reason. Ordinary advisories remain visible and do not have to disappear.
9. Measurement states remain explicit. A skipped, failed or unavailable axis is unmeasured/degraded, not clean.
10. Minimum effective fixes only. Every edit maps to a finding ID; no opportunistic rewriting or unrelated refactor.
11. Stable rounds verify state, not zero suggestions. --require-consecutive rounds must reproduce a disposition-complete state with no new blockers/L0 and no unexplained change in strong advisories.
12. Do not expand budget silently. --max-rounds exhaustion returns BREAK_WITH_USER_DECISION with the exact unresolved state.

1. Invocation and states

/sci-paper:final-review <file_path> [flags]

Defaults:

• --max-rounds 10
• --require-consecutive 2
• no skipped reviewers
• output under final-review-out/<date>__<slug>/

Valid skips: paper-review, figure-review, de-ai, mpr. A skip must be user-explicit, remains visible as unmeasured, and cannot be described as reviewed. A figure-less document normally yields not_applicable, not PASS.

Workflow states:

• IN_PROGRESS
• DISPOSITION_COMPLETE
• BREAK_WITH_USER_DECISION
• SUBAGENT_FAILURE
• PROMPT_VIOLATION
• USER_INTERRUPTED

2. Preparation

1. Read the current target manuscript completely.
2. Read docs/SCIPAPER_STANDARD.md and the current SKILL.md files for paper, paper-review, figure-review and de-ai.
3. Resolve field evidence; missing assets remain explicit.
4. Create the output root and round directory.
5. Initialize a finding registry keyed by stable finding ID plus semantic deduplication key (rule, location, evidence).
6. Record target path, current revision/hash, build system and selected field.

3. Each review round

3.1 Load the framework

In the parent context, invoke /sci-paper:paper and read the normative standard. Record their current versions/paths in paper-baseline.md. This provides policy, not a child verdict.

3.2 Isolated paper-review

Launch a worktree agent with a self-contained prompt:

• cold-read the current target and all sources;
• invoke /sci-paper:paper-review <target> --no-isolated-mpr --field <field>;
• do not spawn any child agent (M.2 escalation runs in-process);
• return the complete typed report, including A–R coverage (dimension E narrative-spine answers and dimension M record included), measurement states, blockers, L0 targets, strong/ordinary advisories, dispositions and build evidence;
• set isolated MPR state to SKIPPED_FOR_ORCHESTRATOR.

If it attempts nesting, return NESTED_AGENT_REJECTED; the round becomes PROMPT_VIOLATION and must be reissued with the corrected prompt.

3.3 Isolated figure-review

Launch a separate worktree agent to invoke /sci-paper:figure-review on the current compiled paper. It must return:

• render/build measurement state;
• figure inventory and source provenance;
• typed blockers and advisories (including canvas-balance measurements);
• explicit not_applicable if no figures exist.

It must not return literal PASS/WARN as the merge interface.

3.4 Isolated de-ai audit

Launch a separate worktree agent to invoke /sci-paper:de-ai <target> --audit-only --field <field>. Audit-only runs Pass 1 (subsystem measurement) and Pass 2 (humanizer structural-tell audit) with no rewrite. It must return:

• the full sci-paper.feedback.v1 measurement report with every axis state;
• L0 targets (Tier A / em-dash / Tier B excess) as l0_target findings;
• structural-tell and distribution findings as ranked advisories;
• document-shape findings with their fidelity-free partition suggestions, clearly marked apply-by-hand.

The parent applies L0 fixes and selected strong-advisory rewrites itself in §3.7 (or runs de-ai Pass 3 in the parent context); the auditor never edits.

3.5 Parent-level isolated modern-physics-review

Launch a sibling worktree agent, never from inside paper-review. The prompt must instruct it to:

• cold-read all current sources;
• load and execute the host-level modern-physics-review protocol;
• avoid spawning sub-agents;
• return each scientific issue with evidence and a proposed consequence class;
• report disagreements with other reviewers without assuming the other reviewers are wrong;
• state unavailable checks explicitly.

Normalize its output to the shared finding schema. A disagreement is a finding candidate, not an automatic blocker; verify the evidence and assign consequence.

3.6 Merge and verify

Combine all child reports into one registry:

registry = merge_by_stable_id_and_semantic_key(
    paper_review,
    figure_review,
    de_ai_audit,
    mpr,
)

For overlaps:

• retain every source trace and detector;
• keep the most severe consequence only when evidence supports it;
• record reviewer disagreement rather than silently choosing one;
• do not parse JSON from human-readable prose;
• totals come from the merged structured findings.

The parent verifies any finding before editing its target. A child's REFUTED result remains a positive evidence record; a CONFIRMED editorial critique remains an advisory.

3.7 Apply fixes and dispositions

Order work by the unified priority key:

1. integrity blockers;
2. L0 targets;
3. strong advisories;
4. ordinary advisories only when authorized or clearly part of a blocker/L0 repair.

For each action:

• map it to finding IDs;
• read the target and source evidence;
• apply the minimum effective edit (dimension-I redundancy findings route to /sci-paper:condense; structural-tell rewrites follow de-ai Pass 3 discipline);
• re-read affected context;
• rerun the relevant build, scientific check, figure render, linter or claim-fidelity check;
• record acted, accepted, rejected_as_false_positive or pending.

Subjective strong advisories that require author preference may remain pending with a precise question. Do not erase them merely to make counts zero.

4. Stable-round criterion

A round is disposition-complete when:

• pending integrity blockers = 0;
• pending L0 targets = 0;
• critical derivations under scrutiny = 0;
• required build/artifacts are valid;
• every strong advisory has a disposition or stated pending reason;
• ordinary advisories and unmeasured/degraded axes are reported;
• skipped reviewers are labeled unmeasured;
• no child report or merge failed.

A stable round additionally requires:

• no new blocker or L0 target relative to the previous complete round;
• no previously resolved blocker/L0 reappears;
• strong-advisory set and dispositions are unchanged or the change is explained by new evidence;
• scientific anchors and build outputs remain current.

Increment consecutive_stable_rounds only for stable disposition-complete rounds. Reset it when new blockers/L0 targets appear, a required measurement fails, or a disposition changes without new evidence. When it reaches --require-consecutive, return DISPOSITION_COMPLETE.

The de-ai audit may continue to report ordinary distribution advisories; those do not reset stability unless they expose a new blocker/L0 or a new strong advisory requiring disposition.

5. Failure and budget handling

• Child failure/timeout: retry only after diagnosing the cause; repeated failure returns SUBAGENT_FAILURE with that axis unmeasured.
• Nested-agent attempt or wrong MPR ownership: PROMPT_VIOLATION.
• User skip: record unmeasured and continue under explicit limitation.
• --max-rounds exhausted: BREAK_WITH_USER_DECISION; list pending blockers, L0 targets, strong advisories, failed/unmeasured axes and options. Do not increase the budget or claim completion.
• User interruption: preserve all current reports and registry.

6. Final report contract

# Final Review — Disposition-Complete Report
Target: <file> | Revision: <hash> | Field: <field or none>
Workflow state: DISPOSITION_COMPLETE | BREAK_WITH_USER_DECISION | SUBAGENT_FAILURE
Rounds: K | Consecutive stable rounds: N

## Measurement coverage
| reviewer/axis | status | provenance / limitation |

## Merged summary
- integrity blockers: resolved / pending
- L0 targets: resolved / pending
- strong advisories: acted / accepted / false-positive / pending
- ordinary advisories: total / reported
- M derivations: verified / under scrutiny
- build and figure render status

## Ranked merged findings
| id | source reviewers | kind | layer | rule | location | evidence | action | disposition |

## Scientific anchors
| claim/quantity | manuscript | source | verification |

## Reviewer disagreements
<evidence from each side and final consequence/disposition>

## Residual feedback
- pending strong advisories and author questions
- ordinary advisories
- degraded/unmeasured/not_applicable axes
- explicit skips

## Fix trace by round
<finding IDs, before/after, verification>

## Per-reviewer reports
<links or verbatim reports; preserve structured JSON beside them>

Do not show a per-skill PASS table. "No findings under measured axes" is not proof about unmeasured axes.

7. Completion meaning

DISPOSITION_COMPLETE means the mandated review workflow reached a stable state in which:

• scientific blockers were resolved or disproved;
• L0 targets are zero;
• strong advisories have explicit author/process dispositions;
• ordinary residuals and limitations are visible;
• independent reviewers reproduced that state for the required consecutive rounds.

It does not mean the paper is guaranteed correct, accepted, human-authored, aesthetically unique or free of every possible reviewer objection.

8. Anti-patterns

• Reusing last round's report without rerunning isolated reviewers.
• Allowing paper-review to spawn nested MPR.
• Treating every child CONFIRMED critique as a blocker.
• Treating every advisory or reviewer disagreement as mandatory prose change.
• Requiring figure-review to return PASS.
• Requiring the narrative-spine protocol (paper-review dimension E) to find exactly one contribution thread.
• Letting the de-ai auditor edit the manuscript instead of returning findings.
• Adding condense as a fifth review lane (its detection surface is paper-review dimension I).
• Calling missing calibration a clean result.
• Resetting or dropping inconvenient findings during deduplication.
• Declaring completion because all numeric issue counts are zero while axes were skipped.
• Forcing subjective advisories to disappear instead of recording author disposition.
• Increasing iteration budget silently.