academic-data-hunter
面向研究、竞赛与论文场景的可追溯数据采集与交付工具
Install / Use
claude mcp add Wack520 -- npx -y github:Wack520/academic-data-hunterIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of academic-data-hunter
academic-data-hunter scores 62/100 on our quality scale, 2443rd of 2,607 Automation skills we index.
Its MCP Server is 2.8 KB long, well organised into 14 sections with 5 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-26 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 85/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-26. Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
academic-data-hunter compared with similar skills
All 4 of these similar skills score higher than academic-data-hunter; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| academic-data-hunter (this skill)by Wack520 | 62 | 3 | 5mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 86.3k | 14d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.6k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install academic-data-hunter?
- Run
claude mcp add Wack520 -- npx -y github:Wack520/academic-data-hunter. The install tabs above show the steps for each supported agent. - Which AI agents does academic-data-hunter work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is academic-data-hunter safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is academic-data-hunter still maintained?
- The repository was last updated about 5 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubAcademic Data Hunter
公开数据采集与交付工作流框架
从公开来源检索、抽取、校验并交付可复核数据资产。
既可用于研究、论文、建模与分析，也可作为 Agent / MCP 工作流的数据层接入。
这是什么
Academic Data Hunter 用来把“找数据”变成“交付数据”。
它覆盖的是一整条 workflow，而不是单次搜索结果：
- 任务定义
- 来源检索
- 结构化抽取
- 来源登记
- 数据校验
- Evidence Pack
- Benchmark Eval
最终交付物
task spec
-> dataset.csv
-> source_registry.csv
-> evidence_records.jsonl
-> evidence pack
-> benchmark eval
给谁用
研究 / 分析用户
- 定义公开数据任务
- 组织来源搜集与抽取
- 校验并交付可复核数据包
开发者 / Agent 用户
- 通过 CLI / API / MCP 接入 workflow
- 把 workflow 作为数据层与证据层
- 给 Agent 增加交付与评估能力
当前示例
当前仓库仍使用 cases/ 目录保存示例资产；这些目录代表现有 examples，不代表项目边界。
| 当前目录 | 当前角色 |
|---|---|
| cases/case01-nev-carbon/ | 中国区域面板类示例 |
| cases/case02-nev-emission-controls/ | 控制变量补齐类示例 |
| cases/case03-population-10y/ | 公共统计整理类示例 |
文档入口
快速开始
1）准备任务模板
Copy-Item templates/task-spec-template.md my-task.md
2）做数据校验
python scripts/validate_round.py `
--data cases/case01-nev-carbon/data/charging_piles_by_province.csv `
--registry cases/case01-nev-carbon/data/source_registry.csv `
--variable charging `
--value-col public_charging_piles `
--check-unit 台
3）导出交付包
python scripts/export_evidence_pack.py `
--data cases/case01-nev-carbon/data/charging_piles_by_province.csv `
--registry cases/case01-nev-carbon/data/source_registry.csv `
--variable charging `
--value-col public_charging_piles `
--output-dir tmp/evidence-pack/case01-charging
4）运行评估
python scripts/run_benchmark_eval.py `
--data cases/case01-nev-carbon/data/charging_piles_by_province.csv `
--registry cases/case01-nev-carbon/data/source_registry.csv `
--variable charging `
--value-col public_charging_piles `
--year-start 2017 `
--year-end 2023 `
--output-json tmp/benchmark/case01-charging.json `
--output-md tmp/benchmark/case01-charging.md
许可证
MIT
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.