Systematic Review
Structured methodology for comprehensive literature review following PRISMA guidelines. Use during literature search and screening stages.
Install
$ agentstack add skill-thada2402-autoresearchclaw-systematic-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-thada2402-autoresearchclaw-systematic-review) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Systematic Review Best Practice
Follow PRISMA-like methodology for literature search:
- Define clear inclusion/exclusion criteria BEFORE searching
- Use multiple databases (Semantic Scholar, arXiv, OpenAlex)
- Search with both broad and narrow queries
- Screen by title/abstract first, then full text
- Extract: method, dataset, metrics, key findings
- Synthesize gaps and opportunities, not just summaries
- Prioritize recent (last 2-3 years) high-citation papers
- Include at least one seminal/foundational paper per sub-topic
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: thada2402
- Source: thada2402/AutoResearchClaw
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.