# Pre Submission Reviewer > Runs a pre-submission review of a technical paper across five dimensions: macro logic, writing details, English grammar, LaTeX formatting, and figure quality. Uses a reviewer-style severity taxonomy (CRITICAL / MAJOR / MINOR) and flags banned AI-tone vocabulary and em-dash misuse. Use when the user asks to 'review this paper', 'audit before submission', 'check the draft', 'find issues', 'proofread', or within one week of a submission deadline. - Skill: `stanfish06/pre-submission-reviewer` (Agent Skill, multi-file: 6 files) - Install (CLI): `npx skillmds@latest add stanfish06/pre-submission-reviewer` - Raw SKILL.md: https://api.skillmd.com/api/skills/stanfish06/pre-submission-reviewer/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Security - License: CC-BY-4.0 - Author: stanfish06 (https://skillmd.com/u/stanfish06) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/stanfish06/pre-submission-reviewer --- # Pre-Submission Reviewer > [!note] Vault audit 2026-07-24 — USE-13 > Use this to polish your own draft before submission — writing/LaTeX/figure mechanics, AI-tone vocabulary, and grammar, tagged CRITICAL/MAJOR/MINOR; for reviewer-side scientific evaluation of methodology and stats use `peer-review`, and to critique published claims use `scientific-critical-thinking`. Author-side pre-submission polish vs reviewer-side scientific evaluation is the distinguishing axis. ## Overview Three to five days before a submission deadline is the window where a careful external review pays off most. This skill takes a full paper or key sections and produces a structured review across five dimensions, each with severity-tagged findings and concrete rewrite suggestions. It enforces the mechanical rules from the writing-checklist section (no em-dashes, no banned AI-tone vocabulary, leading text per paragraph, topic-sentence discipline, citation-format uniformity) and surfaces the patterns that non-native English-speaking authors most commonly violate (articles, subject-verb agreement, tense consistency, which versus that, Chinglish phrasing). The output is not a rewrite. It is a prioritised list of findings with severity tags; the author decides which to fix. CRITICAL items should block submission until addressed. ## When to use this skill - Three to five days before a submission deadline. - The user asks to 'review this paper', 'audit before submission', 'check the draft', 'find issues', 'proofread'. - After a camera-ready revision, before sending the final version. - After any major rewrite (rebuttal responses, Section 3 overhaul). - When the user suspects AI-tone contamination in a section. ## When NOT to use this skill - The paper is still being structured. Use `tech-paper-template`, `intro-drafter`, or `benchmark-paper-template` (separate plugin) first. - The user wants structural advice rather than review. Use the drafting skills instead. ## Core procedure ### Step 1: Dimension 1 Macro logic review See: references/logic-and-structure.md for the Logic First rule, Self-contained rule, Leading Text rule, and Running Example rule. Check: - Introduction flowchart is intact (Background, Limitations, Goal or Key Idea, Challenges, Methodology, Contributions). - Contributions map one-to-one with methodology modules and with section numbers. - Experiments validate the paper's main claims, not tangential ones. - Related Work covers the necessary prior art. - Running example is consistent across Introduction, Methodology, Experiments. Every break in the chain is CRITICAL. ### Step 2: Dimension 2 Writing details review See: references/logic-and-structure.md for paragraph-level rules. Check: - Every paragraph has a topic sentence. - Paragraphs transition smoothly; no orphan paragraphs. - Paragraphs are not over 10 lines; split if so. - No repeated or redundant passages. - Abstract covers problem, method, result. ### Step 3: Dimension 3 English grammar review See: references/grammar-rules.md for the canonical list of errors common to non-native English authors, with corrections and examples. Check the usual suspects: - Article use (a, an, the). - Subject-verb agreement (third-person singular). - Tense consistency (Related Work past, method present). - Passive-voice overuse. - Which versus that. - Sentence length; split long sentences at "Specifically,". - Chinglish patterns. ### Step 4: Dimension 4 LaTeX format review See: references/latex-rules.md for the canonical list of LaTeX- specific issues. Check: - Equation numbering contiguous; every numbered equation referenced. - Figures and tables have captions; captions are detailed. - Citations use the correct command and the non-breaking tilde (for example, `ResNet~\cite{X}`, never `ResNet\cite{X}`). - Labels use underscores, not spaces or hyphens. - Vector figure format; no raster. - Page-limit compliance. ### Step 5: Dimension 5 Figure quality review See: references/forbidden-patterns.md for chartjunk patterns and the full figure-quality checklist. For each figure: - Vector format. - Font size large enough post-scaling. - Colour-blind-safe palette; dual encoding. - Self-contained caption with a finding in the first sentence. - No chartjunk. - Motivated example is concrete and failure-revealing. - Solution overview has labels matching section titles. ### Step 6: Banned-vocabulary and em-dash scan See: references/forbidden-patterns.md for the banned-word list. Scan the full paper for: - Em-dashes used as sentence connectors (banned; project rule). - AI-tone words: innovative, pioneering, revolutionary paradigm, transformative framework, superior, surpass, excel, remarkable, unprecedented, breakthrough performance, general-purpose, is capable of, notably, yet, yielding, at its essence, encompass, differentiate, reveal, underscore, pave the way for, highlight the potential of, profound challenges, stems from, rigid, impede. Flag each occurrence with a severity tag. Em-dashes are MAJOR by default; banned AI-tone words are MAJOR if they appear three or more times. ### Step 7: Section-by-section review See: references/section-guides.md for the per-section writing guides for Abstract, Introduction, Problem Formulation, Framework or Method, Experiments, Related Work, and Conclusion. For each section, check that the section's content matches the guide's canonical structure (for example, Abstract's five-sentence formula: what, why, challenges, how, results). ### Step 8: Integrity gate Run the checks in the Integrity gate section below. ### Step 9: Output Emit the review in the Output format below. ## Severity taxonomy - **CRITICAL**: blocks submission. Example: contributions do not map to sections; introduction flowchart broken; no real-world running example; raster figure in final draft; missing key baseline; page-limit violation. - **MAJOR**: reviewers will flag in first round. Example: topic-sentence absent from 3+ paragraphs; em-dash in 5+ places; banned AI-tone word in 3+ places; Table 1 comparison missing; chart type mismatched with data. - **MINOR**: polish. Example: two long sentences that could be split; default Matplotlib styling; single article error. ## Integrity gate Each bullet is tagged [inspection] (LLM verifies from the paper text) or [attestation] (LLM runs the procedure and states it has done so; user remains responsible for confirming completeness). Before emitting the review: 1. **[inspection]** Every finding quotes specific text (sentence, phrase, figure name); no "the Introduction is unclear" without a quoted line. 2. **[inspection]** Every CRITICAL finding has a concrete fix suggestion, not "rewrite entirely". 3. **[inspection]** No fabricated quotes: only text actually present in the submitted material. 4. **[inspection]** Severity assignments follow the taxonomy; nothing is marked CRITICAL for taste reasons. 5. **[inspection]** Dimension 3 (grammar) findings cite the specific grammar rule from `references/grammar-rules.md`. 6. **[attestation]** Dimension 6 banned-vocabulary scan is run in full on the entire paper, not sampled. The skill attests the full scan; if the paper is extremely long, the skill states it chunked the input and describes the chunking strategy. 7. **[inspection]** Final score matches the CRITICAL + MAJOR count; a score of 9 or 10 requires zero CRITICAL and at most two MAJOR items. If any [inspection] check fails, mark the output as "needs user attention". For [attestation] bullets, the skill states the scope of its scan and the user confirms completeness. ## Output format ### Summary - CRITICAL: - MAJOR: - MINOR: - Top three fixes first: ... ### Dimension 1: Macro logic | # | Finding | Severity | Suggested fix | |---|---|---|---| | 1 | | CRITICAL or MAJOR or MINOR | | ### Dimension 2: Writing details ### Dimension 3: English grammar ### Dimension 4: LaTeX format ### Dimension 5: Figure quality ### Banned-vocabulary and em-dash scan ### Integrity gate result - Gate 1 through 7: ### Final score (1-10) ### Submission recommendation -