Dblp ApiSAFE
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Overview
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
e1ba289846fdOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| openclaw | mentioned |
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: dblp-api
description: "Search computer science publications, authors, and venues via DBLP"
metadata:
openclaw:
emoji: "🔍"
category: "domains"
subcategory: "cs"
keywords: ["algorithms", "data structures", "software engineering", "database", "academic database search"]
source: "https://dblp.org/faq/1474707.html"
---
# DBLP API Guide
## Overview
DBLP (Digital Bibliography and Library Project) is the most comprehensive open bibliographic database for computer science. Maintained by Schloss Dagstuhl - Leibniz Center for Informatics, DBLP indexes over 6.5 million publications from thousands of journals, conference proceedings, and informal publication venues in computer science and related fields.
DBLP is widely regarded as the authoritative source for computer science bibliographic data. It is used by researchers for tracking publication records, by hiring committees for evaluating academic productivity, and by bibliometric tools for analyzing the computer science research landscape. Each author in DBLP has a unique profile page with a complete, disambiguated publication list.
The API is entirely free and open, requiring no authentication. There are no published rate limits, though users are expected to be respectful and avoid excessive load on the servers. All data is available under the ODC-BY license.
## Authentication
No authentication required. The DBLP API is fully open and free to use. No API key, registration, or email is needed. Users should include a descriptive User-Agent header and avoid sending excessive concurrent requests.
## Core Endpoints
### Publication Search: Find Computer Science Papers
- **URL**: `GET https://dblp.org/search/publ/api`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| q | string | Yes | Search query (supports author:, venue:, year: prefixes) |
| format | string | No | Response format: json, xml (default: xml) |
| h | integer | No | Number of results (default: 30, max: 1000) |
| f | integer | No | Starting offset for pagination (default: 0) |
| c | integer | No | Maximum completions in auto-suggest mode |
- **Example**:
```bash
curl "https://dblp.org/search/publ/api?q=graph+neural+networks&format=json&h=10&f=0"
```
- **Response**: JSON with `result.hits` containing `@total` count and `hit` array. Each hit has `info` with `title`, `authors.author`, `venue`, `year`, `type`, `doi`, `url`, and `ee` (electronic edition link).
### Author Search: Find Researchers
- **URL**: `GET https://dblp.org/search/author/api`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| q | string | Yes | Author name query |
| format | string | No | Response format: json, xml |
| h | integer | No | Number of results (default: 30) |
| f | integer | No | Starting offset |
- **Example**:
```bash
curl "https://dblp.org/search/author/api?q=Yann+LeCun&format=json&h=5"
```
- **Response**: JSON with matched author profiles including `author` name, `url` (DBLP profile URL), and optional `notes` with affiliation information.
### Venue Search: Find Journals and Conferences
- **URL**: `GET https://dblp.org/search/venue/api`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| q | string | Yes | Venue name query |
| format | string | No | Response format: json, xml |
| h | integer | No | Number of results |
| f | integer | No | Starting offset |
- **Example**:
```bash
curl "https://dblp.org/search/venue/api?q=NeurIPS&format=json&h=5"
```
- **Response**: JSON with matched venue names, acronyms, and DBLP venue URLs.
### Author Profile: Full Publication List
- **URL**: `GET https://dblp.org/pid/{pid}.json`
- **Parameters**:
| Param | Type | Required | Description |
|-------|------|----------|-------------|
| pid | string | Yes | DBLP person ID (e.g., h/GeoffreyEHinton) from author search results |
- **Example**:
```bash
curl "https://dblp.org/pid/h/GeoffreyEHinton.json"
```
- **Response**: JSON with full author profile including name variants, affiliation, and complete publication list with metadata.
## Rate Limits
No published rate limits. DBLP does not enforce strict API quotas. However, the service is provided by a non-profit institution with limited resources. Best practices include limiting requests to a reasonable rate (1-2 per second), using caching for repeated queries, and downloading the DBLP XML dump for large-scale analyses instead of querying the API repeatedly.
## Common Patterns
### Track an Author's Publication Record
Get a complete, chronological list of publications for a researcher:
```bash
# Step 1: Find the author's DBLP PID
curl "https://dblp.org/search/author/api?q=Jure+Leskovec&format=json&h=1"
# Step 2: Fetch their full profile
curl "https://dblp.org/pid/l/JureLeskovec.json"
```
### Find Top Papers at a Conference
Search for publications at a specific venue in a given year:
```bash
curl "https://dblp.org/search/publ/api?q=venue:ICML+year:2024&format=json&h=50"
```
### Cross-Reference with DOI
Use DBLP records to find DOIs and link to other metadata sources:
```bash
curl "https://dblp.org/search/publ/api?q=attention+is+all+you+need&format=json&h=1" | jq '.result.hits.hit[0].info.doi'
```
## References
- Official documentation: https://dblp.org/faq/1474707.html
- DBLP XML dump: https://dblp.org/xml/
- DBLP statistics: https://dblp.org/statistics/Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
e1ba289846fdfull audit observations/trust-audit/skill/brycewang-stanford__dblp-api.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | e1ba289846fd | SAFE | B | 89 | first audit |
Questions
What does the Dblp Api skill do?
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
Is Dblp Api safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Dblp Api access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Dblp Api work with?
Its documentation mentions openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (e1ba289846fd), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.