academic-integrity-rewrite
Revise Chinese or English academic writing for lower unnecessary textual overlap while preserving meaning, evidence, numbers, equations, terminology, and citations. Use for 学术论文降重、查重后修改、重复段落重写、paraphrasing, similarity-report remediation, abstracts, literature reviews, methods, re
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + CLI + Codex
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add lin1111-1/academic-integrity-rewrite --skill academic-integrity-rewrite
维护状态
新鲜
今天有推送
风险
需审查
The audit script's measurement regex may miss some uncommon unit notations (e.g., scientific notation, complex compound units), but this is explicitly acknowledged in the skill and manual review is recommended.
GitHub 质量
82
66/100 质量 · 68/100 信任
覆盖标签
审查说明
The audit script's measurement regex may miss some uncommon unit notations (e.g., scientific notation, complex compound units), but this is explicitly acknowledged in the skill and manual review is recommended. · No explicit handling for non-UTF8 encodings in plain text files, though most modern editors default to UTF-8.
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
需审查对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
安装前需人工审查
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
82 个 GitHub Stars
仓库活跃度
82 个 Star,2 个 Fork
维护状态
今天有推送
许可证
MIT
安装
npx skills add lin1111-1/academic-integrity-rewrite --skill academic-integrity-rewrite
安装安全性
标准软件包或运行时安装路径
权限范围
Shell 或命令执行
Agent 结果
暂未有 Agent 结果数据
文档
Usable metadata, review docs
风险摘要
生产前审查
- The audit script's measurement regex may miss some uncommon unit notations (e.g., scientific notation, complex compound units), but this is explicitly acknowledged in the skill and manual review is recommended.
- Quality score needs review
- GitHub adoption: 82 GitHub stars
- Stars/forks activity: 82 stars, 2 forks; issue activity unavailable in current metadata
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- 检索来源
适用 Agent
安装决策
- 命令
- npx skills add lin1111-1/academic-integrity-rewrite --skill academic-integrity-rewrite
- 策略
- 审查
- 人工审查
- 是
信任与风险
- 信任
- 60/100
- 审计
- 76/100
- 风险级别
- 需审查
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
安装命令
npx skills add lin1111-1/academic-integrity-rewrite --skill academic-integrity-rewrite不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- The audit script's measurement regex may miss some uncommon unit notations (e.g., scientific notation, complex compound units), but this is explicitly acknowledged in the skill and manual review is recommended.
- 暂未有 OpenAgentSkill 使用反馈数据
- 高风险权限提示:Shell 或命令执行
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
48/100 · 避免自动安装
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- 高风险权限提示:Shell 或命令执行
- The audit script's measurement regex may miss some uncommon unit notations (e.g., scientific notation, complex compound units), but this is explicitly acknowledged in the skill and manual review is recommended.
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install lin1111-1-academic-integrity-rewriteAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20academic-integrity-rewrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20academic-integrity-rewrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/lin1111-1-academic-integrity-rewrite/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use academic-integrity-rewrite in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20academic-integrity-rewrite%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/lin1111-1-academic-integrity-rewrite/install
Install command: npx skills add lin1111-1/academic-integrity-rewrite --skill academic-integrity-rewrite
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/lin1111-1-academic-integrity-rewrite/install
LLM 文本格式
/api/skills/lin1111-1-academic-integrity-rewrite/install?format=text
寻找替代方案
/api/skills/search?q=academic-integrity-rewrite&limit=3
Agent 提示词
Use academic-integrity-rewrite for this task. Review https://www.openagentskill.com/api/skills/lin1111-1-academic-integrity-rewrite/install, then install with: npx skills add lin1111-1/academic-integrity-rewrite --skill academic-integrity-rewriteRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Manifest
/api/registry/manifest/lin1111-1-academic-integrity-rewrite
LLM 文本
/api/registry/manifest/lin1111-1-academic-integrity-rewrite?format=text
安装别名
/api/registry/install/lin1111-1-academic-integrity-rewrite
推荐
/api/registry/recommend?task=Use%20academic-integrity-rewrite%20in%20an%20agent%20workflow&limit=3
Agent 决策面板
Fallback candidate for Research agents
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
研究 Agent
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 66/100 质量档案
先审查
- The audit script's measurement regex may miss some uncommon unit notations (e.g., scientific notation, complex compound units), but this is explicitly acknowledged in the skill and manual review is recommended.
- 暂未有 OpenAgentSkill 使用反馈数据
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
检查82 个 GitHub Stars
Star/Fork 活跃度
检查82 个 Star,2 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过今天有推送
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- The audit script's measurement regex may miss some uncommon unit notations (e.g., scientific notation, complex compound units), but this is explicitly acknowledged in the skill and manual review is recommended.
- Quality score needs review
- GitHub adoption: 82 GitHub stars
- Stars/forks activity: 82 stars, 2 forks; issue activity unavailable in current metadata
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: academic-integrity-rewrite description: Revise Chinese or English academic writing for lower unnecessary textual overlap while preserving meaning, evidence, numbers, equations, terminology, and citations. Use for 学术论文降重、查重后修改、重复段落重写、paraphrasing, similarity-report remediation, abstracts, literature reviews, methods, results, discussions, theses, and manuscripts in DOCX, Markdown, or plain text. Do not use to disguise plagiarism, fabricate sources, or evade academic-integrity review. ---
# Academic Integrity Rewrite
Rewrite from the research logic and evidence, not by replacing words sentence by sentence. Treat originality as clearer authorship and synthesis, never as detector gaming.
## Establish the task
1. Identify the target language, field, venue or style guide, editable sections, and any similarity report. 2. Distinguish the author's findings from cited ideas, standard definitions, methods that require precise wording, and text that must remain verbatim. 3. If the source or citation evidence is unavailable, mark claims for verification instead of inventing details. 4. State that no exact similarity score can be guaranteed because databases and algorithms differ.
## Triage before rewriting
Classify each flagged passage:
- **P0 — integrity or technical risk:** missing attribution, changed data, equations, labels, units, citations, or unsupported claims. Resolve first. - **P1 — reasoning risk:** source-by-source summary, weak synthesis, duplicated logic, overclaiming, or a mechanism not supported by the model or data. - **P2 — expression risk:** formulaic phrasing, noun stacking, repeated sentence frames, vague subjects, or unnecessary metadiscourse. - **P3 — presentation risk:** inconsistent terms, symbols, figure/table references, citation format, or typography.
Read [references/rewrite-methods.md](references/rewrite-methods.md) for section-specific strategies. Read [references/quality-gates.md](references/quality-gates.md) before final review.
## Build a protected fact ledger
Record, before drafting:
- every number, sign, range, unit, symbol, equation, boundary condition, and named method; - every citation marker and the claim it supports; - approved terminology, abbreviations, figure/table/equation numbers, and causal qualifiers; - direct quotations or legally/academically fixed language that must not be paraphrased.
Never silently change an item in this ledger. Flag contradictions or likely source errors for the author.
## Reconstruct the passage
1. Reduce the passage to an evidence map: purpose → method/evidence → result → interpretation → limitation. 2. Close the source text where practical and draft from that map. 3. Reorder claims by logic, combine redundant sentences, split overloaded sentences, and make the actor or evidence explicit. 4. Synthesize multiple sources by theme, agreement, disagreement, method, chronology, or research gap. Preserve attribution at claim level. 5. Prefer precise verbs and quantified statements. Remove empty frames such as “it is obvious,” “it can be seen,” and repeated announcements of what follows. 6. Preserve necessary technical terms. Do not force synonyms for established concepts.
## Validate
Run the deterministic audit when both original and revision are available:
```bash python scripts/audit_revision.py ORIGINAL REVISED ```
Use `--json PATH` for a machine-readable report. It compares numbers, common unit-bearing measurements, and citation markers. Treat its warnings as review prompts, not proof of plagiarism or correctness; uncommon or field-specific unit notation still requires manual review.
Then verify manually:
1. Compare the protected fact ledger against the revision. 2. Check every citation against its supported claim and, when possible, the primary source. 3. Check equations, terminology, abbreviations, units, and cross-references globally. 4. Confirm that interpretations do not exceed the method, model, or data. 5. Read the revision for natural academic flow and field-appropriate tone.
## Deliver
Return:
- the revised passage; - a concise change rationale grouped by logic, evidence, and expression; - a verification list for any unresolved facts, citations, or labels; - an audit summary stating whether numbers and citation markers were preserved and which long shared spans remain.
Do not claim guaranteed acceptance, guaranteed originality, or a guaranteed similarity percentage.
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月24日
- 发布时间
- 2026年8月24日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 academic-integrity-rewrite 准备的场景化草稿,可手动发布到 X。
academic-integrity-rewrite: Revise Chinese or English academic writing for lower unnecessary textual overlap while preser... 82 stars https://www.openagentskill.com/skills/lin1111-1-academic-integrity-rewrite?ref=x
可选:带安装命令的回复
Listing + install path for academic-integrity-rewrite: https://www.openagentskill.com/skills/lin1111-1-academic-integrity-rewrite?ref=x Install: npx skills add lin1111-1/academic-integrity-rewrite --skill academic-integrity-re...
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- lin1111-1
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 lin1111-1,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/lin1111-1-academic-integrity-rewrite)
[](https://www.openagentskill.com/skills/lin1111-1-academic-integrity-rewrite)
[](https://www.openagentskill.com/skills/lin1111-1-academic-integrity-rewrite/audit)
[](https://www.openagentskill.com/skills/lin1111-1-academic-integrity-rewrite)作者
lin1111-1
@lin1111-1
平台适配
健康信号
- GitHub Stars
- 82
- 质量评分
- 37/100
- 最近 GitHub 推送
- 2026年8月24日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 0
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度82 个 GitHub Stars检查
- Star/Fork 活跃度82 个 Star,2 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护今天有推送通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度公开元数据需要更完整的 README/SKILL.md 上下文信息
- 依赖与运行时风险命令执行范围信息
相关 Skill
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
53.5K StarsAcademic Research Skills
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