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Trust Report v1

academic-deep-research

Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search

Overall
76
Trust
67
Utility
78
Momentum
95

Install caution

Needs manual review

Risk: Medium

Source: OpenClaw Master Skills

Path: skills/academic-deep-research-1-0-0/SKILL.md

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

Required permissions

  • Environment variables / secrets
  • 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.

Score explanation

Trust

  • Trust starts at 90 before review-signal penalties and metadata bonuses.
  • Risk-signal penalty: -25 from 2 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: 0.
  • 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

None detected in SKILL.md text scan.

URLs

  • https://doi.org/10.xxxx/ajcn.2020.112.4.879
  • https://doi.org/10.xxxx/dc.2023.46.8.1823
  • https://doi.org/10.xxxx/jes.2022.15.3.245
  • https://github.com/kesslerio/academic-deep-research-clawhub-skill

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-deep-research-1-0-0/SKILL.md
source blob SHA
02aa096a5847b246ddb5ed7ea0cd0c5cc60bce04
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

…low this protocol: ### Empty or Insufficient Search Results 1. **Broaden query terms** — Remove specific constraints, use synonyms 2. **Try related concepts** — Search adjacent terminol…

network_access

…ntelligence, or any research requiring academic rigor and reproducibility.", "homepage": "https://github.com/kesslerio/academic-deep-research-clawhub-skill", "metadata": "openclaw: emoji:…

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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.