Literature review & citations

The top-rated launch-quality Literature review & citations skill for AI agents is pubscholar-auto-search (grade A), followed by research-ideation and obsidian-literature-workflow. Skillspace rates 901 Literature review & citations skills; 270 are launch-quality.

Finding papers, systematic reviews, citation management and reference formatting.

Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.

  1. pubscholar-auto-search A
  2. research-ideation B
  3. obsidian-literature-workflow B
  4. research-lookup B
  5. arxiv B
  6. citation-verification B
  7. daily-paper-generator B
  8. daily-literature-digest B
  9. zotero-obsidian-bridge B
  10. literature-survey B
  11. lit-synthesizer B
  12. agentsociety-literature-search B
  13. paper-daily B
  14. deeppapernote B
  15. paperseek B
  16. sci-review B
  17. arxiv-paper-processor B
  18. sci-zotero B
  19. alterlab-research-lookup B
  20. search-bibtex B
  21. ma-end-to-end B
  22. chinese-reference-formatter-skill B
  23. ma-screening-quality B
  24. ma-data-extraction B
  25. arc B

Frequently asked questions

What is the best Literature review & citations skill for AI agents?

The top-rated launch-quality Literature review & citations skill for AI agents is pubscholar-auto-search (grade A), followed by research-ideation and obsidian-literature-workflow. Skillspace rates 901 Literature review & citations skills; 270 are launch-quality.

How does Skillspace rate Literature review & citations skills?

Skillspace grades every Literature review & citations skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.

Are Literature review & citations skills safe to install?

Of the 901 Literature review & citations skills Skillspace rates, 860 passed its safety scan with no flag from its model, and 41 are flagged: 5 for review, 27 as risky, 8 as unsafe and 1 as a test fixture. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.

Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.