Vaccine Safety Literature Synthesis Agent with Claude Agents SDK
Federal advisory committees need automated synthesis of public vaccine safety research and funding strategic plans. Developers will implement a Claude Agents SDK system with extended thinking to parse epidemiological literature, evaluate vaccine safety claims, and construct transparent policy strategy summaries with verifiable source citations.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an extended-thinking agent with Claude Agents SDK to synthesize vaccine safety literature and support federal policy planning.
How work is evaluated
Evaluates claim verification accuracy, citation correctness, and reasoning trace clarity.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
citation_verification_test
Verifies that retrieved PMIDs match the input documents.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
factual_grounding_score
Score measuring absence of hallucinations relative to input abstracts. • target: 0.98 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Initialize a Claude Agents SDK project with extended thinking enabled.
Extract scientific consensus findings from epidemiological research literature.
Audit public claims against empirical vaccine safety evidence databases.
Generate structured strategic research recommendations for advisory committees.
Reference links and supporting material
Curated collection of peer-reviewed epidemiological study abstracts on vaccine safety and advisory committee transcripts.
How this agent runs
Evaluates claim verification accuracy, citation correctness, and reasoning trace clarity.
Challenge input
JSON containing topic query and list of study abstract documents.
Claude Agents SDK
Offers native tool use and deep extended thinking reasoning modes.
Evaluated output
JSON containing consensus conclusion, evidence quality grade, and citations.
- Verifies that retrieved PMIDs match the input documents.
- Score measuring absence of hallucinations relative to input abstracts. • target: 0.98 • range: 0-1
- Benchmark: Biomedical Literature QA Benchmark
- Factual Grounding Score target: 0.98
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Anthropic Claude · Required
- Anthropic · Optional
- Warp · Optional
Evaluation contract
- citation_verification_test · Weight 1
- factual_grounding_score · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.