agentCLAWHUBUnverified
academic-pipeline-suite
Complete Academic Research & Writing Suite — One-click installation of the full Academic Pipeline ecosystem with all 8 dependencies. Includes academic-pipeli... Skill: academic-pipeline-suite Owner: eric-promax Summary: Complete Academic Research & Writing Suite — One-click installation of the full Academic Pipeline ecosystem with all 8 dependencies. Includes academic-pipeli... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-14T05:39:41.568Z | user Academic Pipeline Suite v1.0.0 - Initial release of the academic-suite meta-skill package. - One-click offline installation
OpenClaw
Rank
62
Safety
84
Downloads
969
Updated
Oct 12, 2026
Version
1.0.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 969 downloads reported by the source. Last updated 10/12/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 12, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 12, 2026
- Adoption signal
- 969 downloadsadoption · observed Oct 12, 2026
- Latest release
- 1.0.0release · observed May 14, 2026
- Handshake status
- UNKNOWNsecurity
What changed
Newest first. Only changes that point at a source are listed.
Release 1.0.0release
Academic Pipeline Suite v1.0.0 - Initial release of the academic-suite meta-skill package. - One-click offline installation for the entire Academic Pipeline ecosystem. - Bundles 8 key dependencies, including academic-pipeline v3.5, academic-search, deep-research, academic-paper, paper review tools, humanizer (EN/zh), ima-skills, and integrity-verification agent. - Unified 12-stage academic research and writing workflow with mandatory checkpoints. - Added HUMANIZE (Stage 10), enhanced startup configuration, and improved integrity/peer review flow.
Observed May 14, 2026 · source
Install and run
Setup complexity: low.
clawhub skill install s1746e7bcag3t464dy9vye9kr586pe2v:academic-pipeline-suite- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-eric-promax-academic-pipeline-suite/snapshot"
Run-check
$0.02 USD1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.
Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.
Documentation
CLAWHUB
146,502 characters of source documentation, loaded on request.
Extracted files
5 files captured from the source.
SKILL.md
---
name: academic-suite
description: "Complete Academic Research & Writing Suite — One-click installation of the full Academic Pipeline ecosystem with all 8 dependencies. Includes academic-pipeline v3.5, academic-search, deep-research, academic-paper, academic-paper-reviewer, humanizer, humanizer-zh, ima-skills, and integrity_verification_agent."
metadata:
version: "3.5.0"
last_updated: "2026-05-14"
author: "eric-promax"
license: "MIT"
suite: true
dependencies:
- "ima-skills"
- "academic-search"
- "deep-research"
- "academic-paper"
- "academic-paper-reviewer"
- "humanizer"
- "humanizer-zh"
- "integrity_verification_agent"
status: active
category: "Academic Research"
tags:
- academic
- research
- writing
- pipeline
- paper
- thesis
- literature-review
- peer-review
- de-ai
---
# Academic Suite v3.5.0 — 一键安装完整学术套件
**元技能包（Meta-Skill Package）**
这是一个元技能包，用于一键安装完整的 Academic Pipeline 生态系统。**所有 9 个依赖技能已打包在内**，安装时无需联网下载，100% 离线可用。
---
## 🎯 快速开始
### 安装（一键完成）
```bash
# 解压后，进入目录运行安装脚本
cd academic-suite-v3.5.0
./install.sh
```
**无需联网**，所有 9 个技能已打包在内：
| # | 技能 | 用途 |
|---|------|------|
| 1 | `academic-pipeline` | 12 阶段全流程编排器 |
| 2 | `academic-search` | 8 大平台文献检索 |
| 3 | `deep-research` | 深度研究分析 |
| 4 | `academic-paper` | 论文撰写/修订 |
| 5 | `academic-paper-reviewer` | 同行评审 |
| 6 | `humanizer` | 英文去 AI 化 |
| 7 | `humanizer-zh` | 中文去 AI 化 |
| 8 | `ima-skills` | IMA 知识库 |
| 9 | `integrity_verification_agent` | 学术诚信验证 |
---
## 📦 包含内容
### 核心编排器
- **academic-pipeline v3.5** — 12 阶段全流程编排器
### 依赖技能（8 个）
- **ima-skills** — IMA 知识库客户端
- **academic-search v1.2.0** — 多源文献检索（8 平台 + 查询扩展 + 两遍搜索）
- **deep-research v2.0** — 深度研究（13-Agent 团队）
- **academic-paper v2.0** — 论文写作（12-Agent 流程）
- **academic-paper-reviewer v1.1** — 同行评审（5 人评审团）
- **humanizer v1.0** — 英文去 AI 化
- **humanizer-zh v1.0** — 中文去 AI 化
- **integrity_verification_agent** — 学术诚信验证
---
## 🚀 使用流程
安装完成后，您可以直接使用自然语言启动学术写作：
### 示例 1：从零开始写论文
```
我要用 Academic Pipeline 写一篇关于"中国股市炒新现象"的 MBA 课程论文，8000 字
```
系统将自动：
1. 询问 5 项配置（IMA 路径、论文类型、字数、内容要求、开题报告）
2. 启动 Stage 1 LITERATURE SEARCH（文献检索）
3. 依次执行 12 个阶段，直到最终 PDF 定稿
### 示例 2：中途进入评审
```
我已经有一份论文草稿，帮我进入评审流程
```
系统将自动：
1. 检测您已有论文草稿
2. 从 Stage 4 INTEGRITY（学术诚信验证）开始
3. 执行后续评审、修订、定稿流程
### 示例 3：修订已有论文
```
我收到了审稿人的修改意见，帮我修订
```
系统将自动：
1. 进入 Stage 7 REVISE（修订模式）
2. 逐条回应审稿意见
3. 执行验证评审 → 最终验证 → 定稿
---
## 📊 12 阶段全景图
```
┌──────────────────────────────────────────────────────────────┐
│ Stage 1 LITERATURE SEARCH (IMA + academic-search) │
│ ↓ 用户确认 │
│ Stage 2 RESEARCH (deep-research) │
│ ↓ 用户确认 │
│ Stage 3 WRITE (academic-paper) │
│ ↓ 用户确认 │
│ Stage 4 INTEGRITY ✦ 强制 ✦ (引用/数据 100% 验证) │
│ ↓ PASS → 继续；FAIL → 修复重验（最多 3 轮） │
│ Stskills/academic-paper-reviewer/SKILL.md
---
name: academic-paper-reviewer
description: "Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy."
metadata:
version: "1.8"
last_updated: "2026-04-09"
status: active
related_skills:
- academic-paper
- academic-pipeline
---
# Academic Paper Reviewer v1.8 — Multi-Perspective Academic Paper Review Agent Team
Simulates a complete international journal peer review process: automatically identifies the paper's field, dynamically configures 5 reviewers (Editor-in-Chief + 3 peer reviewers + Devil's Advocate) who review from four non-overlapping perspectives — methodology, domain expertise, cross-disciplinary viewpoints, and core argument challenges — ultimately producing a structured Editorial Decision and Revision Roadmap.
**v1.1 Improvements**:
1. Added Devil's Advocate Reviewer — specifically challenges core arguments, detects logical fallacies, and identifies the strongest counter-arguments
2. Added `re-review` mode — verification review, focused on checking whether revisions address the review comments
3. Expanded review team from 4 to 5 members
---
## Quick Start
**Simplest command:**
```
Review this paper: [paste paper or provide file]
```
**Output:**
1. Automatically identifies the paper's field and methodology type
2. Dynamically configures the specific identities and expertise of 5 reviewers
3. 5 independent review reports (each from a different perspective)
4. 1 Editorial Decision Letter + Revision Roadmap
---
## Trigger Conditions
### Trigger Keywords
**English**: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy
### Non-Trigger Scenarios
| Scenario | Skill to Use |
|----------|-------------|
| Need to write a paper (not review) | `academic-paper` |
| Need in-depth investigation of a research topic | `deep-research` |
| Need to revise a paper (already have review comments) | `academic-paper` (revision mode) |
### Quick Mode Selection Guide
| Your Situation | Recommended Mode | Spectrum |
|----------------|-----------------|----------|
| Need comprehensive review (first submission) | full | balanced |
| Checking if revisions addressed comments | re-review | fidelity |
| Quick quality assessment (15 min) | quick | fidelity |
| Focus only on methods/statistics | methodology-focus | fidelity |
| Want to learn by doing (guided review) | guided | originality |
| Want to know this reviewer's own error profile beforskills/academic-paper/SKILL.md
---
name: academic-paper
description: "12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見."
metadata:
version: "3.0"
last_updated: "2026-04-09"
status: active
related_skills:
- deep-research
- academic-paper-reviewer
- academic-pipeline
---
# Academic Paper — Academic Paper Writing Agent Team
A general-purpose academic paper writing tool — 12-agent pipeline covering all disciplines, with higher education domain as the default reference.
**v2.5** adds two writing quality features:
- **Style Calibration** (intake Step 10, optional) — Provide 3+ past papers and the pipeline learns your writing voice (sentence rhythm, vocabulary preferences, citation integration style). Applied as a soft guide during drafting; discipline conventions always take priority. See `shared/style_calibration_protocol.md`.
- **Writing Quality Check** (`references/writing_quality_check.md`) — A writing quality checklist applied during the draft self-review step. Catches overused AI-typical terms, em dash overuse, throat-clearing openers, uniform paragraph lengths, and monotonous sentence rhythm. These are good writing rules, not detection evasion.
## Quick Start
**Minimal command:**
```
Write a paper on the impact of AI on higher education quality assurance
```
```
Write a paper on the impact of declining birth rates on private university management strategies
```
**Execution flow:**
1. Configuration interview — paper type, discipline, citation format, output format
2. Literature search — systematic search strategy, source screening
3. Architecture design — paper structure, outline, word count allocation
4. Argumentation construction — claim-evidence chains, logical flow
5. Full-text drafting — section-by-section draft, register adjustment
6. Citation compliance + bilingual abstract (parallel)
7. Peer review — five-dimension scoring, revision suggestions
8. Output formatting — LaTeX/DOCX/PDF/Markdown
---
## Trigger Conditions
### Trigger Keywords
**English**: write paper, academic paper, paper outline, write abstract, revise paper, literature review paper, check citations, convert to LaTeX, convert format, format paper, conference paper, journal article, thesis chapter, research paper, guide my paper, help me plan my paper, step by step paper, draft manuscript, write methodology, write discussion, parse reviews, revision roadmap, help me with my revision, I got reviewer comments, convert citations
**繁體中文**: 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 文獻回顧論文, 檢查引用, 轉 LaTeX, 轉換格式, 研討會論文, 期刊文章, 學位論文, 研究論文, 引導我寫論文, 幫我規劃論文, 逐步寫論文, 寫方法論, 寫討論, 審查意見, 修訂路線圖, 幫我修改, 我收到審查意見, 轉換引用格式
### Plan Mode Activaskills/academic-pipeline/SKILL.md
---
name: academic-pipeline
description: "Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow."
metadata:
version: "3.2"
last_updated: "2026-04-09"
depends_on: "deep-research, academic-paper, academic-paper-reviewer"
status: active
related_skills:
- deep-research
- academic-paper
- academic-paper-reviewer
---
# Academic Pipeline v3.2 — Full Academic Research Workflow Orchestrator
A lightweight orchestrator that manages the complete academic pipeline from research exploration to final manuscript. It does not perform substantive work — it only detects stages, recommends modes, dispatches skills, manages transitions, and tracks state.
**v2.0 Core Improvements**:
1. **Mandatory user confirmation checkpoints** — Each stage completion requires user confirmation before proceeding to the next step
2. **Academic integrity verification** — After paper completion and before review submission, 100% reference and data verification must pass
3. **Two-stage review** — First full review + post-revision focused verification review
4. **Final integrity check** — After revision completion, re-verify all citations and data are 100% correct
5. **Reproducible** — Standardized workflow producing consistent quality assurance each time
6. **Process documentation** — After pipeline completion, automatically generates a "Paper Creation Process Record" PDF documenting the human-AI collaboration history
## Quick Start
**Full workflow (from scratch):**
```
I want to write a research paper on the impact of AI on higher education quality assurance
```
--> academic-pipeline launches, starting from Stage 1 (RESEARCH)
**Mid-entry (existing paper):**
```
I already have a paper, help me review it
```
--> academic-pipeline detects mid-entry, starting from Stage 2.5 (INTEGRITY)
**Revision mode (received reviewer feedback):**
```
I received reviewer comments, help me revise
```
--> academic-pipeline detects, starting from Stage 4 (REVISE)
**Execution flow:**
1. Detect the user's current stage and available materials
2. Recommend the optimal mode for each stage
3. Dispatch the corresponding skill for each stage
4. **After each stage completion, proactively prompt and wait for user confirmation**
5. Track progress throughout; Pipeline Status Dashboard available at any time
---
## Trigger Conditions
### Trigger Keywords
**English**: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow
### Non-Triggeskills/academic-search/SKILL.md
---
name: academic-search
description: |
学术论文搜索、引用分析与元数据提取专用 Skill。
【自动触发条件——出现以下任一信号时立即加载本 Skill，无需用户显式说明】
意图信号（中文）：
- 搜论文 / 找论文 / 查论文 / 调研论文 / 检索文献 / 文献综述 / 综述
- 顶会 / 顶刊 / CCF / NeurIPS / ICML / ICLR / ACL / EMNLP / CVPR / KDD / SIGIR / WWW
- 引用数 / 被引 / 引用关系 / 引用量
- BibTeX / 参考文献格式 / 导出引用
- 作者发表列表 / 某人的论文 / 某人在哪发了什么
- arXiv / Semantic Scholar / Google Scholar / PubMed / ACM DL / IEEE
- 知网 / CNKI / 中国知网 / 学位论文 / 硕士论文 / 博士论文 / 中文文献 / 中文期刊
- PDF 链接 / 论文 PDF / 开放获取
- 摘要 abstract / 元数据
意图信号（英文）：
- search paper / find paper / look up paper / literature review / survey
- citation count / citation graph / citing / cited by
- BibTeX / reference export
- top conference / top journal / venue ranking
- author publication list / papers by X
URL 信号（出现以下域名的链接时自动触发）：
- arxiv.org / ar5iv.org
- semanticscholar.org
- scholar.google.com
- dl.acm.org
- ieeexplore.ieee.org
- pubmed.ncbi.nlm.nih.gov
- paperswithcode.com
- cnki.net / kns.cnki.net
覆盖平台：arXiv、Semantic Scholar、Google Scholar、ACM DL、IEEE Xplore、PubMed、Papers with Code、CNKI（中国知网）
metadata:
version: "1.2.0"
---
# academic-search Skill
## 前置检查
在开始前，检查环境就绪状态：
```bash
bash ~/.claude/skills/academic-search/scripts/check-deps.sh
```
- **Node.js 22+**：必需（用于 CDP 浏览器模式）。仅使用 API 平台时可不检查。
- **Chrome remote-debugging**：仅在访问 Google Scholar 或其他需要浏览器自动化的平台时必需。在 Chrome 地址栏打开 `chrome://inspect/#remote-debugging`，勾选 **Allow remote debugging for this browser instance**。
- **curl**：必需，用于 API 调用。
arXiv、Semantic Scholar、PubMed、Papers with Code 等 API 平台无需 Chrome 远程调试即可使用。
**S2 API Key（强烈建议）**：无 Key 时 S2 速率上限极低，单 session 多次调用必触发 429。免费注册即可获得更高配额：https://www.semanticscholar.org/product/api#api-key-form。有 Key 时在请求头加 `x-api-key: {your_key}`。
## 搜索哲学
**明确目标，选对平台，提取结构化数据，完成即止。**
学术搜索不同于通用网页浏览——目标是获取**准确、结构化**的论文元数据，而不是浏览网页内容。
**① 明确检索目标，定义成功标准**：执行前先明确什么算完成了。
- 关键词搜索？精确论文？某作者的全部论文？某 venue 的论文列表？
- 需要什么字段：仅标题和引用数 / 完整元数据 / PDF / BibTeX / 代码链接？
- 年份范围？领域限定？返回几篇？
- **成功标准**：用户要的是摘要表（第一遍）还是完整元数据（第二遍）？数量够了吗？字段都有了吗？这是后续所有决策的锚点。
**② 选对平台**：不同需求对应不同平台（见下方矩阵）。API 平台优先，CDP 用于无 API 的平台。
**③ 提取结构化数据，先筛后深**：搜索的时间瓶颈不在"搜"，在"筛"。默认采用两遍策略：
- **第一遍（轻量扫描）**：先拉 20-30 条结果，输出轻量摘要表——标题、作者、年份、venue、引用数、是否有开放 PDF/代码。不拉完整摘要。
- **用户或任务确认核心论文**（引用数高、venue 等级高、与目标最相关的 5-10 篇）后，**第二遍**再深入拉摘要、PDF、BibTeX 等完整信息。
所有结果输出为统一 schema（见 `references/metadata-schema.md`），不要输出原始 HTML 或非结构化文本。多平台结果用 DOI/arXiv ID 去重合并。
**④ 过程校验，用失败信号更新方向**：每一步的结果都是信息，不只是成功或失败的二元信号。
| 失败信号 | 含义 | 方向调整 |
|---------|------|---------|
| API 429 / Rate exceeded | 本次会话消耗超配额，不是暂时波动 | 等待 15s+ 或切换 CDP 模式；不要同一请求重试 |
| Jina/WebFetch 超时 | 该页面对静态抓取不友好 | 改用 curl 直接调 API 或切换 CDP |
| S2 返回结果为空 | query 措辞问题，或该平台无收录 | 换关键词组合，或换 arXiv/PubMed |
| 平台返回"内容不存在" | 未必真的不存在，可能是访问方式问题 | 检查 URL 参数是否完整，换平台验证 |
| 同一方式重试 3 次无改善 | 路径错了，不是还没找到方法 | 重新评估目标，换平台或换访问方式 |
**⑤ 完成判断**：对照①定义的成功标准确认任务完成后停止，不为"更完整"而过度操作。
## 平台选择矩阵
根据任务特征选择最合适的平台和访问方式：
| 需求 | 首选平台 | 访问方式 | 备注 |
|------|---------|---------|------|
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Machine-readable data
The same record, as JSON, for agents and crawlers.
- Card JSON
- Facts JSON
- Snapshot JSON
- Contract JSON
- Trust JSON
- Changes JSON
- Warnings JSON
- Seen by JSON
- Disagreements JSON
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/eric-promax/skills/academic-pipeline-suite",
"sourceUrl": "https://clawhub.ai/eric-promax/skills/academic-pipeline-suite",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-12T00:19:28.754Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-eric-promax-academic-pipeline-suite/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-eric-promax-academic-pipeline-suite/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-12T00:19:28.754Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "969 downloads",
"href": "https://clawhub.ai/eric-promax/academic-pipeline-suite",
"sourceUrl": "https://clawhub.ai/eric-promax/academic-pipeline-suite",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-12T00:19:28.754Z",
"isPublic": true
},
{
"factKey": "latest_release",
"category": "release",
"label": "Latest release",
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