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$ agentstack add skill-plusero-agentic-research-skills-topic-literature-search ✓ 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.
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Topic Literature Search
Instructions
- Identify the research topic, plus any constraints the user provides:
- Subtopic or method
- Application domain
- Year range
- Preference for surveys, seminal papers, or recent papers
- Convert the request into 3 to 6 search queries:
- One broad query for the full topic
- One or more synonym or acronym variants
- One query for recent work
- One query for surveys or review papers when useful
- Search these sources:
- IEEE Xplore for peer-reviewed engineering and computer science papers
- arXiv for recent preprints and emerging work
- Google Scholar for broad coverage, citation signal, and older foundational papers
- Build a candidate pool of at least 15 verified papers before ranking the final 10.
- Verify every candidate before including it:
- Confirm the title, authors, year, and venue from the source page or publisher page
- Prefer DOI, publisher, or arXiv links over secondary reposts
- If Google Scholar is used for discovery, verify bibliographic details from an authoritative page before finalizing
- Do not invent missing metadata
- Deduplicate results by title, DOI, or arXiv identifier.
- Rank papers by relevance using these factors:
- Direct match to the user's topic
- Methodological match
- Venue credibility
- Citation signal or field influence
- Recency when the topic is fast-moving
- Survey value if the user needs broad orientation
- Select the 10 most relevant verified papers.
- Balance seminal and recent papers when both matter
- If fewer than 10 verified papers are available, say so explicitly and return the verified set
- Summarize each selected paper.
- Use the abstract and full text when available
- If only metadata or abstract is accessible, say that the summary is based on the abstract
- Keep summaries grounded in the source and specific to the paper's actual contribution
- Return the results in Markdown using the exact section order below.
Output Format
Use this template. Repeat the Top 10 Papers item format for each selected paper.
# Literature Search:
## Search Scope
- Topic:
- Constraints:
- Databases searched: IEEE Xplore, arXiv, Google Scholar
- Search queries:
- Notes:
## Top 10 Papers
1. ****
- Authors:
- Year:
- Venue:
- Source:
- Link:
- Why relevant:
- Summary:
- Evidence basis:
Guardrails
- Verify bibliographic details before presenting them.
- Prefer authoritative links and accessible abstracts over citation-only pages.
- Separate discovery from verification: Google Scholar can help find papers, but final metadata should come from an authoritative source when possible.
- Do not present fabricated citations, authors, years, venues, or claims.
- If multiple papers are near-duplicates, keep the strongest or most complete version.
- If the topic is broad, prefer a mix of surveys and primary papers.
- If the topic is narrow, prefer direct methodological matches over highly cited but tangential papers.
- If access to a source is blocked, state the limitation clearly.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Plusero
- Source: Plusero/agentic-research-skills
- License: CC0-1.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.