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Paper Pdf Two Pass Review

 name: cvpr pdf two pass review description: Analyze uploaded CVPR paper PDFs with a strict two pass workflow. First pass extracts verifiable facts with page/section/figure/table evidence only. Second pass produces a 2000 3000 Chinese research critique grounded in those facts. Use when the user uploads a paper PDF and asks for deep interpretation, critical review, reproducibility assessment, or PhD level reading notes.

gpiox0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install gpiox/paper-pdf-two-pass-review

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions


name: cvpr-pdf-two-pass-review description: Analyze uploaded CVPR paper PDFs with a strict two-pass workflow. First pass extracts verifiable facts with page/section/figure/table evidence only. Second pass produces a 2000-3000 Chinese research critique grounded in those facts. Use when the user uploads a paper PDF and asks for deep interpretation, critical review, reproducibility assessment, or PhD-level reading notes.

CVPR PDF Two-Pass Review

Overview

Run a deterministic two-pass paper analysis workflow on an uploaded PDF. Prioritize evidence-grounded outputs and reduce hallucinations by separating fact extraction from interpretation.

Workflow

  1. Confirm the user has uploaded the PDF in the current chat. If not, ask them to upload it first.
  2. Load and execute prompt in references/round1.md to produce a structured fact sheet.
  3. Load and execute prompt in references/round2.md using only round-1 facts plus PDF evidence.
  4. Enforce evidence tags for core claims: [Evidence: p.X, Sec.Y, Fig/Table Z].
  5. If any required information is missing, explicitly state Not provided in paper or Insufficient evidence.

Output Rules

  • Keep analysis strictly based on uploaded PDF content.
  • Do not introduce external papers, benchmarks, or assumptions unless user explicitly asks.
  • Keep language concise and technical.
  • Preserve required length in pass 2: 2000-3000 words or characters as requested by the prompt.

References

  • Round 1 prompt: references/round1.md
  • Round 2 prompt: references/round2.md

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/gpiox/paper-pdf-two-pass-review
Version
—
Commit
7af2e462aadc3eb52fe3f892f77a2bea68512951
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
---
name: cvpr-pdf-two-pass-review
description: Analyze uploaded CVPR paper PDFs with a strict two-pass workflow. First pass extracts verifiable facts with page/section/figure/table evidence only. Second pass produces a 2000-3000 Chinese research critique grounded in those facts. Use when the user uploads a paper PDF and asks for deep interpretation, critical review, reproducibility assessment, or PhD-level reading notes.
---

# CVPR PDF Two-Pass Review

## Overview

Run a deterministic two-pass paper analysis workflow on an uploaded PDF.
Prioritize evidence-grounded outputs and reduce hallucinations by separating fact extraction from interpretation.

## Workflow

1. Confirm the user has uploaded the PDF in the current chat. If not, ask them to upload it first.
2. Load and execute prompt in `references/round1.md` to produce a structured fact sheet.
3. Load and execute prompt in `references/round2.md` using only round-1 facts plus PDF evidence.
4. Enforce evidence tags for core claims: `[Evidence: p.X, Sec.Y, Fig/Table Z]`.
5. If any required information is missing, explicitly state `Not provided in paper` or `Insufficient evidence`.

## Output Rules

- Keep analysis strictly based on uploaded PDF content.
- Do not introduce external papers, benchmarks, or assumptions unless user explicitly asks.
- Keep language concise and technical.
- Preserve required length in pass 2: 2000-3000 words or characters as requested by the prompt.

## References

- Round 1 prompt: `references/round1.md`
- Round 2 prompt: `references/round2.md`

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