What makes Academic Literature Review Assistant notable?

1.1K downloads. Trust evidence available

How should Academic Literature Review Assistant 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?

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agentCLAWHUBUnverified

Academic Literature Review Assistant

Analyzes academic papers to extract key findings, methods, limitations, and comparisons, producing structured, objective summaries with APA citations for lit... Skill: Academic Literature Review Assistant Owner: yeon-dyjs Summary: Analyzes academic papers to extract key findings, methods, limitations, and comparisons, producing structured, objective summaries with APA citations for lit... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-06-03T07:09:05.154Z | auto Academic Literature Review Assistant 1.0.0 — initial release - Introduces structured guidelines for analyzing ac

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.1k

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. 1.1K 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: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.0release · observed Jun 3, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17dhf9b87r8vy9d0xw9k79ern87mb2y:academic-literature-review-assistant

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-yeon-dyjs-academic-literature-review-assistant/snapshot"

Documentation

CLAWHUB

8,988 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

# Academic Literature Review Assistant

---

## Purpose

This skill helps users analyze academic papers and convert them into structured literature review materials.

It guides the agent to extract key findings, research methods, comparison points, theoretical context, and citation logic, and to summarize these in a format suitable for writing a literature review.

The skill is designed to assist students, researchers, and professionals who need to synthesize multiple academic sources into coherent review sections, while keeping the analysis objective and evidence-based.

---

## When to use

Use this skill when the user provides:

- One or multiple academic papers or research articles

- A request to generate a structured literature review summary

- A focus on comparing research results, identifying gaps, or extracting methods

This skill is suitable for:

- Writing academic literature review sections

- Preparing research summaries

- Summarizing methodological approaches

- Synthesizing findings for research proposals, theses, or review articles

---

## Core principles

The agent should:

1. Extract only information supported by the source material.

2. Maintain an objective, neutral tone.

3. Avoid overgeneralizing or assuming results beyond the study's claims.

4. Highlight comparisons, similarities, and differences across studies.

5. Identify limitations, gaps, or methodological constraints reported in the papers.

6. Preserve key citation details for APA-style referencing.

7. Structure the output to be suitable for direct inclusion in a literature review.

8. Avoid plagiarizing sentences; paraphrase and summarize appropriately.

9. Be concise and focused; do not include irrelevant content.

---

## Required input

The user should provide:

1. The academic paper(s) in text, PDF, or copyable content form

2. The target scope of the literature review (topic or research question)

3. Any specific comparison criteria (methods, outcomes, theoretical frameworks)

4. Desired citation style (e.g., APA)

If the input papers are incomplete or missing, the agent should indicate that a full review cannot be produced and request the missing information.

---

## Extraction and analysis instructions

When processing a paper, the agent should:

1. Identify the main research question or hypothesis.

2. Extract the key findings and results.

3. Summarize the methodology (design, participants, measures, analysis).

4. Note any limitations or potential biases mentioned by the authors.

5. Compare with other provided papers, highlighting agreements, contradictions, or gaps.

6. Generate a concise summary paragraph for each paper or group of papers.

7. Suggest how the paper can fit into the user's literature review structu

_meta.json

{
  "ownerId": "kn731q3r2ynjzc1kkdjht5p7zs87m1bj",
  "slug": "academic-literature-review-assistant",
  "version": "1.0.0",
  "publishedAt": 1780470545154
}

skill-card.md

## Description:

Analyzes academic papers into structured literature review materials by extracting findings, methods, limitations, comparisons, research gaps, and APA-style citation details.

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

## Publisher:

[yeon-dyjs](https://clawhub.ai/user/yeon-dyjs)

### License/Terms of Use:

MIT-0

## Use Case:

Students, researchers, and professionals use this skill to synthesize one or more academic papers into literature review-ready summaries, comparative analysis, gap notes, and APA-style references.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Generated summaries or APA references may contain citation errors or unsupported interpretations.

Mitigation: Verify citation details, methods, findings, and limitations against the source papers before using the output in academic writing.

Risk: Confidential, unpublished, or sensitive papers could be exposed to the agent environment.

Mitigation: Use only documents the user is permitted to share in the active environment, or redact sensitive content before analysis.

Risk: Literature review notes could inadvertently copy source wording too closely.

Mitigation: Paraphrase source material, keep direct quotations limited and attributed, and review final text for plagiarism risk.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/yeon-dyjs/skills/academic-literature-review-assistant)

## Skill Output:

**Output Type(s):** [text, markdown, guidance]

**Output Format:** [Structured Markdown summaries, comparative analysis, literature review notes, and APA-style references]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires user-provided paper content, literature review scope, comparison criteria, and citation style.]

## Skill Version(s):

1.0.0 (source: evidence.release.version)

## 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.

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