What makes Semantic Scholar Search notable?

1K downloads. Trust evidence available

How should Semantic Scholar Search be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Semantic Scholar Search

通过 Semantic Scholar API 免费检索学术论文，支持多领域搜索、详细元数据及高级筛选，兼容旧入口调用。 Skill: Semantic Scholar Search Owner: jirboy Summary: 通过 Semantic Scholar API 免费检索学术论文，支持多领域搜索、详细元数据及高级筛选，兼容旧入口调用。 Tags: latest:1.0.0 Version history: v1.0.0 | 2026-04-17T12:57:48.107Z | auto - Semantic Scholar 搜索功能已整合至 search 统一入口技能，保留本技能用于兼容旧用法。 - 推荐使用新格式 search scholar [关键词]，原有调用方式仍可用，将自动转发到新入口。 - 技能继续支持免费、跨学科高质量论文检索，并提供详细论文元数据。 - 文档加入迁移指南，方便用户平滑过渡至新版用法。 Archive index: Archive v1.0.0: 5 files, 5321 bytes Files: pa

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.0release · observed Apr 17, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s172kehers3wd9ajz7fymawqnn843cz8:semantic-scholar-search

Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-jirboy-semantic-scholar-search/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

4,249 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: semantic-scholar-search
description: [已整合] Semantic Scholar 搜索已整合到 search 统一入口技能
argument-hint: "[搜索关键词]"
---

# ⚠️ 已整合 - 请使用 search 统一入口

> **本技能保留用于向后兼容，功能已整合到 `search` 统一入口技能**
>
> **推荐使用：** `search scholar [关键词]` 或直接使用本技能（自动转发）

---

# Semantic Scholar Search（兼容层）

免费、高质量的学术论文检索工具 - 基于 Semantic Scholar API。

## 迁移指南

**新用法：**
```
search scholar machine learning
search scholar attention mechanism year=2020-
search scholar Yann LeCun
```

**旧用法（仍然可用）：**
```
scholar machine learning
```

## 特点
- ✅ 免费使用，无需注册
- ✅ 覆盖计算机科学、生物医学、物理等多个领域
- ✅ 提供论文引用数、作者信息、摘要等详细元数据
- ✅ 支持高级搜索和过滤

## 技术实现
- **API:** Semantic Scholar API v2
- **速率限制:** 免费层 100 次/小时

_meta.json

{
  "ownerId": "kn7024ea9mpn20nvh221shx04h8434xe",
  "slug": "semantic-scholar-search",
  "version": "1.0.0",
  "publishedAt": 1776430668107
}

skill-card.md

## Description:

Semantic Scholar Search helps agents find academic papers and related metadata through Semantic Scholar while preserving compatibility with the older scholar entry point.

This skill is ready for commercial/non-commercial use.

## Publisher:

[jirboy](https://clawhub.ai/user/jirboy)

### License/Terms of Use:

MIT-0

## Use Case:

Developers and external users can use this skill to search Semantic Scholar for papers or authors and review titles, authors, abstracts, citation counts, venues, years, and source URLs. It is also maintained as a compatibility path for older scholar-style calls while recommending the newer search scholar entry point.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Dependency metadata declares the Python requests package as an npm dependency, which may fail during installation or resolve an unintended package.

Mitigation: Review or correct dependency metadata before installing, and ensure requests is provided through an appropriate Python dependency mechanism.

Risk: Search terms are sent to Semantic Scholar.

Mitigation: Avoid submitting sensitive or confidential research queries unless that external disclosure is acceptable.

Risk: The visible skill instructions are primarily in Chinese.

Mitigation: Confirm that operators and reviewers can understand the instructions or provide an approved translation before deployment.

## Reference(s):

- [Semantic Scholar API](https://api.semanticscholar.org/)
- [Semantic Scholar Graph API v1](https://api.semanticscholar.org/graph/v1)
- [ClawHub skill page](https://clawhub.ai/jirboy/skills/semantic-scholar-search)

## Skill Output:

**Output Type(s):** [Text, Guidance]

**Output Format:** [Plain text search results with paper or author metadata and error messages when requests fail]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Search terms are sent to Semantic Scholar; paper output is limited to 10 results by the script.]

## Skill Version(s):

1.0.0 (source: package.json and server-resolved release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

package.json

{
  "name": "semantic-scholar-search",
  "version": "1.0.0",
  "description": "Semantic Scholar academic search skill - free, high-quality paper search",
  "main": "semantic_scholar.py",
  "scripts": {
    "test": "echo \"No tests specified\" && exit 0"
  },
  "keywords": ["academic", "search", "paper", "semantic-scholar", "openclaw-skill"],
  "author": "OpenClaw Community",
  "license": "MIT",
  "dependencies": {
    "requests": ">=2.31.0"
  }
}

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