skill-ellmos-ai-skills-research-agent · by Install
$ agentstack add skill-ellmos-ai-skills-research-agent ✓ 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 Used
- ✓ 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-ellmos-ai-skills-research-agent) 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
Research Agent
Modulare Forschungspipeline fuer wissenschaftliche Literaturrecherche. Nutzt ausschliesslich Python-Standardbibliothek (urllib, xml, json).
Architektur
ResearchAgent (Orchestrator)
sources/ Datenquellen (PubMed, arXiv)
base.py Article/SearchResult Dataclasses, Source ABC
pubmed.py NCBI E-utilities (esearch + efetch)
arxiv.py arXiv Atom API
workflows/ Recherche-Ablauefe
quick_search.py Schnellrecherche ueber mehrere Quellen
literature_review.py 4-Phasen Literatur-ReviewNutzung als Python-Library
from scripts.agent import ResearchAgent
agent = ResearchAgent()
# Schnellrecherche
result = agent.search("machine learning diagnostics", max_results=10)
print(result)
# Strukturierter Literatur-Review
plan = agent.create_review_plan("transformer architectures", years=3)
print(plan.total_articles, "Artikel gefunden")
# Ergebnis speichern
agent.save_result(result, "recherche_ml.md", fmt="markdown")Nutzung als CLI
cd scripts
python -m ResearchAgent search "quantum computing" --max 20
python -m ResearchAgent review "CRISPR gene editing" --years 5Datenquellen
| Quelle | API | Rate-Limit | Zugang | |--------|-----|------------|--------| | PubMed | NCBI E-utilities | 3/s (ohne Key), 10/s (mit Key) | Frei | | arXiv | Atom REST API | Keine dokumentiert | Frei |
Erweiterbar: Neue Quellen implementieren Source ABC aus sources/base.py.
Erweiterung
from scripts.sources.base import Source, SearchResult
class MySource(Source):
@property
def name(self) -> str:
return "my-source"
def search(self, query, max_results=10, **kwargs):
# API-Abfrage implementieren
...
def get_article(self, article_id):
...
def is_available(self) -> bool:
return TrueBACH-Hinweise
> Nur relevant bei Nutzung innerhalb von BACH.
from scripts.agent import ResearchAgent
agent = ResearchAgent(use_bach=True) # Optionale BACH-IntegrationChangelog
0.1.0 (2026-03-12)
- Migration aus MODULAR_AGENTS/ResearchAgent in Skillbibliothek
- PubMed + arXiv Quellen
- QuickSearch + LiteratureReview Workflows
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ellmos-ai
- Source: ellmos-ai/skills
- License: MIT
- Homepage: https://github.com/ellmos-ai/skills#readme
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.