pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Paper Retrieval Agent - Multi-database paper fetching from Semantic Scholar, OpenAlex, arXiv Handles rate limiting, deduplication, and PDF URL extraction Use when: fetching papers, searching databases, paper retrieval Triggers: fetch papers, retrieve papers, database search,
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i1 --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i1 -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i1 -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i1 -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i1 -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i1 -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill i1 -a windsurf -y
name: i1 description: | Paper Retrieval Agent - Multi-database paper fetching from Semantic Scholar, OpenAlex, arXiv Handles rate limiting, deduplication, and PDF URL extraction Use when: fetching papers, searching databases, paper retrieval Triggers: fetch papers, retrieve papers, database search, Semantic Scholar, OpenAlex, arXiv version: "12.0.1"
No prerequisites required for this agent.
Read `research/decision-log.yaml` (or `.research/decision-log.yaml` for legacy projects) directly to verify prerequisites. Conversation history is last resort.
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**Agent ID**: I1 **Category**: I - Systematic Review Automation **Tier**: MEDIUM (Sonnet) **Icon**: 📄🔍
Executes multi-database paper retrieval for systematic literature reviews. Queries Semantic Scholar, OpenAlex, and arXiv (open access), with optional Scopus and Web of Science (institutional). Handles rate limiting, deduplication, and PDF URL extraction.
| Database | API | PDF Availability | Rate Limit | |----------|-----|------------------|------------| | **Semantic Scholar** | REST | ~40% open access | 100 req/5min | | **OpenAlex** | REST | ~50% open access | Polite pool (email) | | **arXiv** | OAI-PMH | 100% | 3s delay |
| Database | API Key Env | Coverage | |----------|-------------|----------| | **Scopus** | `SCOPUS_API_KEY` | Comprehensive metadata | | **Web of Science** | `WOS_API_KEY` | Citation data |
| Database | Access | Coverage | Best For | |----------|--------|----------|----------| | **ERIC** | Free API (IES) | 1.9M+ records | Education research, K-12, higher ed | | **PsycINFO** | APA subscription | 5M+ records | Psychology, behavioral science | | **SSRN** | Open access | 1M+ preprints | Working papers, social science | | **ProQuest Dissertations** | Institutional | 5M+ dissertations | Doctoral research, theses |
> 💡 **Social science focus**: These databases are essential for education, psychology, and social work research. ERIC and SSRN are freely accessible. PsycINFO and ProQuest require institutional access.
| Database | API Key Env | Coverage | Primary Discipline | |----------|-------------|----------|-------------------| | **ERIC** | `ERIC_API_KEY` | Education research | Education | | **PsycINFO** (via APA PsycNET) | `PSYCINFO_API_KEY` | Psychology & behavioral sciences | Psychology | | **SSRN** | — (open access) | Social science preprints | Multi-discipline | | **ProQuest** | `PROQUEST_API_KEY` | Dissertations & theses | Multi-discipline |
# ERIC API (free, no key required for basic search) curl "https://api.ies.ed.gov/eric/?search=meta-analysis+education+technology&format=json&rows=50"
ERIC fields: title, author, source, publicationdateyear, description, subject, peerreviewed
| Research Area | Recommended Databases | |--------------|----------------------| | Education | ERIC + Semantic Scholar + OpenAlex | | Psychology | PsycINFO + Semantic Scholar + OpenAlex | | Social Work | Semantic Scholar + OpenAlex + SSRN | | Interdisciplinary | OpenAlex + Semantic Scholar + ERIC + PsycINFO | | STEM crossover | arXiv + Semantic Scholar + OpenAlex | | Dissertations | ProQuest + OpenAlex |
Required: - query: "string" - databases: "list[enum[semantic_scholar, openalex, arxiv, scopus, wos, eric, psycinfo, ssrn, proquest]]" Optional: - year_range: "list[int, int]" - max_results_per_db: "int" - open_access_only: "boolean"
main_output:
databases_queried: "list[string]"
results:
semantic_scholar: "int"
openalex: "int"
arxiv: "int"
total_identified: "int"
after_deduplication: "int"
duplicates_removed: "int"
output_file: "string"Before executing queries, I1 MUST:
1. **PRESENT** database options:
Available databases for your systematic review:
✅ Open Access (recommended):
- Semantic Scholar (~40% PDF URLs)
- OpenAlex (~50% PDF URLs)
- arXiv (100% PDF access)
🔒 Institutional (requires API keys):
- Scopus (SCOPUS_API_KEY: {status})
- Web of Science (WOS_API_KEY: {status})
📚 Social Science:
- ERIC (free, education research)
- PsycINFO (PSYCINFO_API_KEY: {status})
- SSRN (open access, preprints)
- ProQuest Dissertations (PROQUEST_API_KEY: {status})
Which databases would you like to query?2. **WAIT** for explicit user selection 3. **CONFIRM** selection before executing
After database selection, I1 MUST validate API keys:
1. **CHECK** environment for required keys:
2. **IF** any selected database requires a missing key: → Call AskUserQuestion with SCH_API_KEY_VALIDATION template → WAIT for user response → If "Provide Key": Show setup instructions (`export SCOPUS_API_KEY=your_key`), then re-validate → If "Skip DB": Remove from selectio
## 🔥 力荐 · StatsPAI — Stata 与 R 的 Python 平替,为 AI Agent 而生 🔁 Stata / R 平替:reghdfe、csdid、rdrobust、synth、fixest、did 等常用命令在 Python 中一站式替代,一个 import statspai as sp 搞定 DID / RD / IV / SCM / DML / matching 🤖 面向 Agent 设计:结构化结果对象 + 内置 MCP Server,Claude / Codex
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