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Academic reviser

Skill joshua-zyy/academic-paper-writer/skills/academic-reviser

面向 CS / AI / ML 领域的证据驱动、分节推进的论文写作 Agent Skill。

Install
npx -y skills add joshua-zyy/academic-paper-writer --skill academic-reviser

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What its author says it does

Copied from the file, not written here

Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style) with Verification Status and debt tracking. Use when: reviewing a paper draft before submission, checking evidence compliance of claims, simulating peer reviewer feedback, verifying citation closure and evidence debts, performing cross-section consistency checks. Triggers on: self review, 自查, verification, 审稿, evidence compliance, peer review, 论文审查, draft audit, 验证论文, 检查引用, cross-section review, 审修, draft verification.

SKILL.md

3.4 KB, as published. Nobody here has run it

Academic Reviser

将此 skill 视为"挑剔审稿人代理"——像 peer reviewer 一样审查草稿,按证据→论证→风格三轮顺序执行。

Router Protocol

  1. Read manifest.yaml. It declares always_load files, axes, and references.on_demand.
  2. Read every file listed under always_load. These are the skill's binding rules — not reference material.
  3. Apply the loaded material as constraints:
    • stance.md defines non-negotiable rules, bounded assessment, termination conditions, and scope.
    • red-lines.md defines absolute prohibitions. Do not negotiate these.
    • output-contract.md defines deliverables, debt types, and Verification Status format.
    • anti-patterns.md defines known failure modes, correct alternatives, and self-deception signals.
  4. Detect the mode using the manifest's mode axis. When input materials are incomplete, declare a Bounded Assessment before proceeding.
  5. Echo the selected mode to the user before executing.
  6. Reach for references/ only when the manifest's references.on_demand condition is satisfied.

Debt types tracked: prose_debt, section_contract_debt, citation_debt, evidence_debt, figure_debt, protocol_debt, result_debt, rationale_debt. Schema: skills/shared/schemas/verification-report.md.

Modes

ModeUse when
full-section-reviewComplete 3-round review + Verification for a single section
cross-section-reviewCross-section consistency check
verification-onlyVerdict only, no re-review
targeted-reviewSpecific issue (e.g. citation closure only)
targeted-evidence-modeEvidence compliance only (orchestrator Step 9.5)
mock-reviewer-packageOptional pre-submission 3-reviewer package

Agent Dispatch

agents/reviser_agent.md dispatched by orchestrator at Step 9.5 or Step 9.8. Subagent returns structured review content; must not modify project files or invent reviewer identities, experiments, citations, or unprovided evidence.

Independent Use

InputModePriorityBehavior
Section draftfull-section-review2 (path trigger)Full 3-round review
Multiple sectionscross-section-review2 (path trigger)Consistency only
"只用 verdict"verification-only1 (explicit)Verdict only
Specific issuetargeted-review1 (explicit)Targeted check
Evidence focustargeted-evidence-mode1 (explicit)Evidence compliance
"审稿包" / pre-submissionmock-reviewer-package1 (explicit)Optional reviewer package
ScenarioRecommended
Just reviewing a draftThis skill (standalone)
During paper draftingacademic-paper-writer orchestrator
After polishing passacademic-polishing → this skill

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.