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在 OpenClaw 中安装
/install paper-pdf-two-pass-review
功能描述
Analyze uploaded CVPR paper PDFs with a strict two-pass workflow. First pass extracts verifiable facts with page/section/figure/table evidence only. Second p...
使用说明 (SKILL.md)
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
- Confirm the user has uploaded the PDF in the current chat. If not, ask them to upload it first.
- Load and execute prompt in
references/round1.mdto produce a structured fact sheet. - Load and execute prompt in
references/round2.mdusing only round-1 facts plus PDF evidence. - Enforce evidence tags for core claims:
[Evidence: p.X, Sec.Y, Fig/Table Z]. - If any required information is missing, explicitly state
Not provided in paperorInsufficient 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\r
安全使用建议
This skill is internally consistent and only needs the PDF you upload plus the included prompt files. Before using it, consider: (1) do not upload confidential or unpublished manuscripts you don't want processed by the agent or potentially retained in logs; (2) the skill intentionally forbids external sources, but model behavior may still leak background knowledge—verify outputs against the PDF evidence tags; (3) the second pass requests a long (2000–3000 Chinese-word) critique—ensure you actually want that length. If you need the skill to never run autonomously, disable autonomous invocation in your agent settings.
功能分析
Type: OpenClaw Skill
Name: paper-pdf-two-pass-review
Version: 1.0.0
The OpenClaw skill bundle is designed for a two-pass PDF analysis workflow, focusing on fact extraction and critical review. All instructions for the AI agent across `SKILL.md`, `references/round1.md`, and `references/round2.md` consistently include strong guardrails, such as 'use only the uploaded PDF', 'do not use external knowledge', and 'record facts only, no judgments'. There are no indications of malicious intent, data exfiltration, unauthorized command execution, or prompt injection attempts to subvert the agent. The garbled text in `agents/openai.yaml` appears to be an encoding issue or placeholder, not a security risk.
能力评估
Purpose & Capability
Name/description match the actual behavior: it analyzes uploaded CVPR PDFs via two local prompt files. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
Runtime instructions are narrowly scoped to (1) confirm an uploaded PDF in the chat, (2) run the two local prompts to extract facts and produce a critique, and (3) restrict outputs to PDF evidence. The skill does not instruct reading unrelated files, accessing env vars, or contacting external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec and no code files to execute; nothing is written to disk or downloaded during install.
Credentials
No environment variables, credentials, or config paths are requested. The declared inputs align with the paper-analysis purpose.
Persistence & Privilege
always is false and there is no request to modify other skills or system-wide settings. disable-model-invocation is default (false), which is normal for skills and not, by itself, a concern.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install paper-pdf-two-pass-review - 安装完成后，直接呼叫该 Skill 的名称或使用
/paper-pdf-two-pass-review触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of the cvpr-pdf-two-pass-review skill.
- Implements a strict two-pass analysis workflow for CVPR paper PDFs: first extracting verifiable facts with evidence references, then generating a detailed Chinese research critique based solely on those facts.
- Enforces clear evidence tagging ([Evidence: p.X, Sec.Y, Fig/Table Z]) for all major claims.
- Clearly identifies missing or insufficient information from the paper.
- Designed to minimize unsupported claims and hallucination by separating fact extraction from critique writing.
- Supports reproducibility assessment, deep interpretation, and PhD-level reading notes based on PDF content only.
元数据
常见问题
PaperRead-Skills 是什么？
Analyze uploaded CVPR paper PDFs with a strict two-pass workflow. First pass extracts verifiable facts with page/section/figure/table evidence only. Second p... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 408 次。
如何安装 PaperRead-Skills？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install paper-pdf-two-pass-review」即可一键安装，无需额外配置。
PaperRead-Skills 是免费的吗？
是的，PaperRead-Skills 完全免费（开源免费），可自由下载、安装和使用。
PaperRead-Skills 支持哪些平台？
PaperRead-Skills 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 PaperRead-Skills？
由 GPIOX（@gpiox）开发并维护，当前版本 v1.0.0。
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