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Trust Report v1

academic-research-hub

Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to \"find papers on\", \"search research about\", \"download academic articles\", \"get citations for\", or any re

Overall
71
Trust
47
Utility
88
Momentum
95

Install caution

High-risk behavior present

Risk: High

Source: OpenClaw Master Skills

Path: skills/academic-research-hub/SKILL.md

Review flags: filesystem/home-directory access, network access or external URLs, package installation commands, shell command snippets. These are review signals, not definitive security judgments; inspect before installing.

Required permissions

  • • Environment variables / secrets
  • • Shell commands
  • • Network/API usage
  • • Filesystem/home access

Permissions are inferred from SKILL.md text only. They are review prompts, not guarantees about runtime behavior.

Risk flags explained

filesystem_write_or_home_accessmedium

Mentions filesystem writes, deletes, home-directory paths, or config/key locations.

network_accessmedium

Mentions external URLs, network APIs, downloads, or HTTP client usage.

package_installmedium

Mentions package installation or dependency-fetching commands.

shell_commandmedium

Contains shell command snippets. Review commands before copy/paste or agent execution.

Score explanation

Trust

  • • Trust starts at 90 before review-signal penalties and metadata bonuses.
  • • Risk-signal penalty: -45 from 4 detected flag(s).
  • • Metadata bonus: +2 from author/version/description fields.

Utility

  • • Utility starts at 55 and rewards clear descriptions, runnable examples, and explicit setup needs.
  • • Description present: yes.
  • • Command examples detected: 25.
  • • Environment variables detected: 1.

Momentum

  • • Momentum starts at 45 and uses public repo activity signals.
  • • Recent commit activity: latest repo update was 6 day(s) ago.
  • • Recent commit volume: 6 commit(s) in the lookback window (+18).
  • • Source has strong public adoption: 2049 stars.
  • • Fork activity suggests reuse: 309 forks.

Overall

  • • Overall score weights trust 45%, utility 35%, and momentum 20%.

Detected signals

Env vars

  • • API

Commands

  • • pip install arxiv scholarly pubmed-parser semanticscholar requests
  • • python -m venv venv
  • • python scripts/research.py --help
  • • python scripts/research.py <source> "<query>" [OPTIONS]
  • • python scripts/research.py arxiv "AI" --output results.txt
  • • python scripts/research.py arxiv "LLM" --start-date 2024-01-01 --sort-by date
  • • python scripts/research.py arxiv "attention mechanism" --citations --citation-format bibtex --output citations.bib
  • • python scripts/research.py arxiv "attention mechanism" --download --max-results 10
  • • python scripts/research.py arxiv "deep learning" --author "LeCun, Yann" --sort-by date --max-results 50 --output lecun_papers.json
  • • python scripts/research.py arxiv "deep learning" --download --max-results 5
  • • python scripts/research.py arxiv "deep learning" --download --output-dir papers/
  • • python scripts/research.py arxiv "deep learning" --format bibtex --output dl_refs.bib

URLs

  • • http://arxiv.org/abs/1706.03762
  • • http://arxiv.org/abs/1706.03762}
  • • http://arxiv.org/pdf/1706.03762v5
  • • http://arxiv.org/pdf/1810.04805v2
  • • https://api.semanticscholar.org/
  • • https://arxiv.org/category_taxonomy
  • • https://arxiv.org/help/api
  • • https://arxiv.org/pdf/1810.04805.pdf
  • • https://clawhub.ai/
  • • https://www.ncbi.nlm.nih.gov/books/NBK25501/
  • • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876543/

Provenance & evidence

SkillRadar makes each review traceable back to the exact source path, source blob SHA, scanner version, and text-only policy that produced the report.

source
github.com/LeoYeAI/openclaw-master-skills@main
path
skills/academic-research-hub/SKILL.md
source blob SHA
030f0e5fff21027c3d61d3a0bb993f463720940b
scanner version
0.3.0
security model
text_only_no_execute_no_install_no_secrets
scan policy
Fetched and scored as text only; no install, no execution, no runtime loading.

Evidence snippets

filesystem_write_or_home_access

…ues **"No results found"** - Try broader search terms - Check spelling and terminology - Remove restrictive filters - Try a different database **"Rate limit exceeded"** - Wait a few mi…

package_install

…b.ai/) (Windows, MacOS) **Installation Best Practices:** ```bash # Standard installation pip install arxiv scholarly pubmed-parser semanticscholar requests # If you encounter permission err…

network_access

…bibliographies, and build literature reviews. ⚠️ **Prerequisite:** Install [OpenClawCLI](https://clawhub.ai/) (Windows, MacOS) **Installation Best Practices:** ```bash # Standard install…

shell_command

…all [OpenClawCLI](https://clawhub.ai/) (Windows, MacOS) **Installation Best Practices:** ```bash # Standard installation pip install arxiv scholarly pubmed-parser semanticscholar request…

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Methodology note

SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.

View source SKILL.mdBack to changesView sources