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Agent Skill · 效率

reference-style-sync(参考风格同步)

reference-style-sync 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

reference-style-sync 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 15,116。

总安装 3,208周安装 135GitHub Stars 公开资料未说明下载 1,123核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:reference-style-sync(参考风格同步)
来源仓库:https://github.com/aipoch-ai/reference-style-sync
安装命令:
openclaw skills install reference-style-sync
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install reference-style-sync

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

reference-style-sync 用于文献管理工具中参考文献格式的同步与标准化。可智能修复元数据错误,提升学术写作效率。通过 clawhub 安装,使用 openclaw skills install reference-style-sync 命令集成。

使用前需确认权限范围和维护状态,注意可能涉及的元数据修改操作。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install reference-style-sync;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

reference-style-sync 怎么安装?

在终端执行 openclaw skills install reference-style-sync。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

reference-style-sync 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

reference-style-sync 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

reference-style-sync 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

reference-style-sync 用的人多吗?

公开数据是累计安装 3,208 次,近一周安装 135 次,下载 1,123 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

reference-style-sync 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
reference-style-sync

参考风格同步 · 本页

3,208—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
reference-style-sync
description
One-click synchronization and standardization of reference formats in literature management tools, intelligently fixing metadata errors.
license
MIT
skill-author
AIPOCH

Reference Style Sync

One-click synchronization and standardization of reference formats in literature management tools, intelligently fixing metadata errors.

When to Use

  • Use this skill when the task needs One-click synchronization and standardization of reference formats in literature management tools, intelligently fixing metadata errors.
  • Use this skill for academic writing tasks that require explicit assumptions, bounded scope, and a reproducible output format.
  • Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

See ## Features above for related details.

  • Scope-focused workflow aligned to: One-click synchronization and standardization of reference formats in literature management tools, intelligently fixing metadata errors.
  • Packaged executable path(s): scripts/main.py.
  • Reference material available in references/ for task-specific guidance.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

See ## Prerequisites above for related details.

  • Python: 3.10+. Repository baseline for current packaged skills.
  • dataclasses: unspecified. Declared in requirements.txt.

Example Usage

See ## Usage above for related details.

cd "20260318/scientific-skills/Academic Writing/reference-style-sync"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/main.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/main.py.
  • Reference guidance: references/ contains supporting rules, prompts, or checklists.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

python -m py_compile scripts/main.py

Audit-Ready Commands

Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.

python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py -h

Workflow

  1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
  2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
  3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
  4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
  5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Overview

Reference Style Sync can:

  • Automatically detect and fix erroneous metadata scraped in Zotero/EndNote
  • Unify literature formats to standard citation styles (APA, MLA, AMA, Vancouver, etc.)
  • Batch process entire literature libraries
  • Intelligently complete missing fields (DOI, page numbers, volume/issue, etc.)
  • Detect duplicate entries and merge them

Supported Literature Management Tools

  • Zotero: Supports RDF, BibTeX, CSL JSON, RIS format export
  • EndNote: Supports XML, RIS, BibTeX format export
  • Universal Formats: BibTeX, RIS, CSV, JSON

Features

🔧 Metadata Repair

  • Author name format standardization
  • Journal name abbreviation/full name unification
  • DOI format validation and completion
  • Page number format normalization
  • Date format unification

🎨 Format Sync

  • Batch conversion to target citation format
  • Field order standardization
  • Punctuation unification
  • Case normalization

🔍 Quality Check

  • Missing field detection
  • Duplicate entry identification
  • Invalid DOI/URL marking
  • Journal name spell checking

Usage

Command Line Interface


# Process single file
python scripts/main.py --input library.bib --output fixed.bib --style apa

# Fix metadata and convert to AMA format
python scripts/main.py --input zotero.rdf --output fixed.ris --style ama --fix-metadata

# Batch processing and duplicate detection
python scripts/main.py --input library.json --output cleaned.json --deduplicate --style vancouver

# Quality check only
python scripts/main.py --input library.bib --check-only

Python API

from scripts.main import ReferenceSync

# Initialize
sync = ReferenceSync()

# Load library
sync.load('library.bib')

# Fix metadata
sync.fix_metadata()

# Convert to target format
sync.convert_style(target_style='apa')

# Export
sync.export('output.bib')

Parameter Description

ParameterTypeDefaultDescription
--inputstrRequiredInput file path (.bib, .ris, .json, .xml)
--outputstrRequiredOutput file path
--stylestramaTarget format: apa, mla, ama, vancouver, chicago
--fix-metadataboolFalseEnable metadata repair
--deduplicateboolFalseDetect and merge duplicate entries
--check-onlyboolFalseCheck only, no output
--formatstrautoInput format auto-detect or specify

Repair Rules

Author Names


# Before repair
Smith, John, Doe, Jane M.
Smith J., Doe J.M.

# After repair (AMA)
Smith J, Doe JM.

Journal Names


# Before repair
journal of the american medical association
J. Am. Med. Assoc.

# After repair
JAMA

DOI


# Before repair
www.doi.org/10.1234/example
doi:10.1234/example
10.1234/example

# After repair
doi:10.1234/example

Page Numbers


# Before repair
123-127
123 -- 127
123–127

# After repair
123-127

Output Example

Before Repair (Zotero Export)

@article{smith2020,
  author = {Smith, John and Doe, Jane M.},
  title = {A Study of Something},
  journal = {journal of clinical medicine},
  year = {2020},
  volume = {15},
  pages = {123-127},
  doi = {10.1234/example}
}

After Repair (AMA Format)

@article{smith2020,
  author = {Smith J, Doe JM},
  title = {A Study of Something},
  journal = {J Clin Med},
  year = {2020},
  volume = {15},
  pages = {123-127},
  doi = {doi:10.1234/example}
}

Technical Details

Difficulty: Medium Dependencies: Python 3.8+, regex, titlecase Data Processing: Supports 10000+ entries batch processing

Supported Citation Formats

  • AMA: American Medical Association (11th Edition)
  • APA: American Psychological Association (7th Edition)
  • MLA: Modern Language Association (9th Edition)
  • Vancouver: ICMJE Recommended Format
  • Chicago: Chicago Manual of Style (17th Edition)
  • IEEE: Institute of Electrical and Electronics Engineers

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Notes

  1. It is recommended to backup the original library before processing
  2. Metadata repair is based on built-in rule library; complex cases may require manual review
  3. Journal abbreviations follow ISO 4 standard
  4. DOI validation uses regex patterns, does not actually resolve and verify

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited

Prerequisites


# Python dependencies
pip install -r requirements.txt

Evaluation Criteria

Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:

- Performance optimization - Additional feature support

Output Requirements

Every final response should make these items explicit when they are relevant:

  • Objective or requested deliverable
  • Inputs used and assumptions introduced
  • Workflow or decision path
  • Core result, recommendation, or artifact
  • Constraints, risks, caveats, or validation needs
  • Unresolved items and next-step checks

Input Validation

This skill accepts requests that match the documented purpose of reference-style-sync and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

reference-style-sync only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

References

Response Template

Use the following fixed structure for non-trivial requests:

  1. Objective
  2. Inputs Received
  3. Assumptions
  4. Workflow
  5. Deliverable
  6. Risks and Limits
  7. Next Checks

If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.

平台分布

OpenClaw

73.85%
按下载量换算829

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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