القائمة
Screen and classify papers from a Hypo-Research survey output directory using user-defined rules. Generates a classification report with per-paper labels, category counts, and an analysis summary.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Aggregate Codex skill bundle for academic literature search, screening, citation traversal, research ideation, experiment planning, LaTeX lint/fix, bibliography verification, polishing, translation, and one-command paper checks.
Run a multi-persona simulated academic review for a LaTeX or PDF paper. Parses paper structure, prepares reviewer-specific prompts, then guides independent reviews, AC meta-review, revision roadmap, and consistency checks.
Aggregate Codex skill bundle for academic literature search, screening, citation traversal, research ideation, experiment planning, LaTeX lint/fix, bibliography verification, polishing, translation, and one-command paper checks.
Run the full writing-quality pipeline for a LaTeX paper project: lint, auto-fix preview or apply, citation verification, and aggregated reporting. Use this when the user wants a submission-readiness check, a one-command writing QA pass, or a structured report summarizing lint and bibliography health.
Route a natural-language research request to the right Hypo-Research workflow. Use this when the user is unsure whether they need check, review, read, search, ideation, project management, or another expert skill. Can execute conservative safe paths with explicit inputs.
Run a unified pre-submission check pipeline for LaTeX papers, combining structure/format checks, LaTeX lint, and bibliography verification into one PASS/WARNING/FAIL report. Use when the user is preparing a paper submission, wants CI-friendly preflight checks, or asks for a complete submission-readiness report.
| name | hypo-screen |
| description | Screen and classify papers from a Hypo-Research survey output directory using user-defined rules. Generates a classification report with per-paper labels, category counts, and an analysis summary. |
| license | MIT |
对已有调研结果按自定义规则进行筛选、分类、分析。将候选论文池收敛为结构化的分类报告。
如果项目根目录存在 .hypo-research.toml，可复用其中的项目级默认路径和调研配置。
$ARGUMENTS
data/surveys/2026-04-22_fhe_hw/）classified）分类规则用自然语言定义，每行一个类别，格式为 类别名: 定义。
示例：
A: FHE + 大模型推理 + 硬件加速器（ASIC/FPGA/GPU）
B: FHE + 硬件加速器（CNN 或更小规模模型）
C: FHE + 大模型推理（纯软件优化）
D: CIM/PIM + FHE
排除: MPC/GC/OT 为主导方案（非纯 FHE）
path 下的 results.json（或 results.md）中的论文列表未分类recall_checklist：
classified_papers.json: 每篇论文含 {title, authors, year, venue, doi, category, reason}analysis_report.md: 含分类计数、关键发现、类别概览、建议references.bib: 标注类别