Academic Reference Matcher

REVIEW · 68
Community indexed

AI agent skill:为学术文本查找并核实参考文献,每条引用标注证据等级

Downloads0
Stars26
Version1.0.0
Quality72/100 · Strong
Trust68/100 · Sandbox only
Audit81/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add keros68/academic-reference-matcher

Maintenance

fresh

3d since push

Risk

Needs review

Low GitHub adoption signal

GitHub quality

26

72/100 Quality · 76/100 Trust

Coverage tags

ResearchResearch agentsacademic-researchcitationsreference-management

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
72

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
68

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
81

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

26 GitHub stars

Repo activity

26 stars, 2 forks

Maintenance

3d since push

License

MIT

Install

npx skills add keros68/academic-reference-matcher

Install safety

standard package or runtime install path

Permission surface

shell or command execution, filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 26 GitHub stars
  • Stars/forks activity: 26 stars, 2 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add keros68/academic-reference-matcher
Policy
review
Human review
yes

Trust and risk

Trust
68/100
Audit
81/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add keros68/academic-reference-matcher

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution

Agent safety v2

53/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • High-risk permission hints: Shell or command execution
  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add keros68/academic-reference-matcher

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Academic Reference Matcher in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Academic%20Reference%20Matcher%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/keros68-academic-reference-matcher/install
Install command: npx skills add keros68/academic-reference-matcher
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Academic Reference Matcher for this task. Review https://www.openagentskill.com/api/skills/keros68-academic-reference-matcher/install, then install with: npx skills add keros68/academic-reference-matcher

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

71/100

GitHub automation

Platforms

Claude Code, OpenAI Agents

Audit report

Needs review · 81/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

71
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 72/100 quality profile

review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

68
OpenAgentSkill Trust Score

GitHub adoption

CHECK

26 GitHub stars

Stars/forks activity

CHECK

26 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 26 GitHub stars
  • Stars/forks activity: 26 stars, 2 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

72
GitHub stars
26
Freshness
3d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

# academic-reference-matcher

academic-reference-matcher 是一个 AI agent skill,为学术文本查找并核实参考文献:拆出需要引用的论断,检索候选文献,判断文献是否真的支撑该论断,输出带证据等级的引用结果。适用于论文段落、综述、基金申请、rebuttal 和已有的参考文献列表。

> 中文为主,English below.

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![Agent Skill](https://img.shields.io/badge/Agent%20Skill-SKILL.md-green.svg)](SKILL.md)

## 功能

**五种任务模式**:Add 补引用,Verify 查已有引用是否支撑对应论断,Replace 换掉弱引用、错引用、过时引用和撤稿文献,Format 只转格式,Extract 只挑出需要引用的论断。

**四档检索深度**:Quick 处理几条论断,Standard 处理一个段落并出 claim 表,Deep 用于长小节和有争议的主题,Audit 用于系统综述准备和高风险稿件,要求可复现的检索日志。

**证据分级**:候选发现和证据支撑分开记账,题名相似不算已验证。每条引用标注证据基础(元数据、摘要、摘录还是全文),只看得到元数据的文献不能当强支撑。查不到就进 Could not verify 小节,不补一条看起来合理的文献。

**输出**:小请求直接在对话里给带引用的正文和文献列表。较大的任务可写成 `reference-match-report.md`,含引用后的正文、claim-reference 对照表、参考文献和检索审计;APA、GB/T 7714、Vancouver、IEEE 格式的文献列表和 BibTeX/RIS 文件按需另出。

## 安装与调用

skill 只有 Markdown 说明,clone 到 agent 的 skills 目录即可,也可以把仓库地址发给 agent 让它自己装:

```bash # Claude Code 用 ~/.claude/skills/,Codex 用 ~/.codex/skills/ git clone https://github.com/keros68/academic-reference-matcher.git \ ~/.claude/skills/academic-reference-matcher ```

装完新开会话后调用:

```text 使用 $academic-reference-matcher 为下面这段话找参考文献,并输出 claim-reference 表。 ```

没有 skill loader 的环境,把 `SKILL.md` 当作 agent instruction 使用,需要更严格的检索质量时再附带 `references/` 里的规则文件。更多写法见 `examples/example-requests.md`。

## 限制

- 不含搜索引擎、付费数据库权限和引用解析器,检索质量取决于宿主 agent 可用的工具和用户提供的文献库。 - 不绕过付费墙、验证码、登录墙,也不使用未授权的 cookie 或来源;付费墙文献可以留作候选。 - 除非用户给出限定的语料范围或可复现的数据库检索式,否则不宣称覆盖完整。 - 宿主 agent 没有检索或浏览工具时,skill 会要求用户提供文献列表、PDF、Zotero 导出或数据库检索结果,只在这些材料里核实。 - 期刊特定的最终格式和高风险稿件仍需人工复核。

## 文件结构

- `SKILL.md` - skill 主说明和触发规则。 - `references/` - 检索规划、来源路由、付费墙处理、证据评分、输出格式和审计模板。 - `examples/` - 常见请求示例。 - `agents/openai.yaml` - 显示名、一句话简介和默认提示词。

## Attribution and Redistribution

This repository is the original academic-reference-matcher skill by keros68, released under the MIT License. Redistribution, forks, modified versions, and repackaged copies must preserve the copyright notice, t

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 1, 2026
Published
Aug 1, 2026

Decision snapshot

Fallback candidate

71
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

81
Needs review
Security
82/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Academic Reference Matcher, ready for a manual X post.

Curator note
Academic Reference Matcher: An installable AI agent skill that finds and verifies academic references for claims, annotat...

26 stars

https://www.openagentskill.com/skills/keros68-academic-reference-matcher?ref=x
Open X draft
Optional reply with install command
Listing + install path for Academic Reference Matcher:
https://www.openagentskill.com/skills/keros68-academic-reference-matcher?ref=x

Install: npx skills add keros68/academic-reference-matcher

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
keros68
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to keros68 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/keros68-academic-reference-matcher?metric=listed&label=Listed)](https://www.openagentskill.com/skills/keros68-academic-reference-matcher)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/keros68-academic-reference-matcher?metric=trust&label=Trust)](https://www.openagentskill.com/skills/keros68-academic-reference-matcher)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/keros68-academic-reference-matcher?metric=audit&label=Audit)](https://www.openagentskill.com/skills/keros68-academic-reference-matcher/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/keros68-academic-reference-matcher?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/keros68-academic-reference-matcher)

Author

K

keros68

@keros68

Health signals

GitHub stars
26
Quality score
45/100
Last GitHub push
Aug 1, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

68
  • GitHub adoption26 GitHub starsCHECK
  • Stars/forks activity26 stars, 2 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO