Methodology inspired by publicly taught vaccine development frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| asset_scope | all disclosed vaccine assets | Full-pipeline enumeration first |
| evidence_lens | immunogenicity + efficacy | Correlate studies distinguished from efficacy trials |
| acip_gate | true | ACIP path modeled as part of pipeline value |
| cohort_lens | true | Age-cohort bridging tracked per asset |
| value_frame | risk-adjusted | Modeled value = unadjusted peak x POS, both shown |
Preflight
Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned). Confirm ticker resolution via search_companies before asset queries.
Triggers
- "Analyze [ticker]'s vaccine pipeline."
- "What seroconversion or immunogenicity studies support [vaccine]?"
- "Where are [ticker]'s vaccines in the efficacy ladder?"
- "Which lot-consistency trials are pending for [ticker]?"
- "What age-cohort bridging studies does [ticker] have planned?"
- "Does [ticker]'s vaccine have an ACIP path?"
- "Risk-adjust [ticker]'s vaccine pipeline."
- "What is the next catalyst for each of [ticker]'s vaccine assets?"
- "How do healthy-population efficacy designs change the evidence bar?"
- "Map [ticker]'s vaccines by antigen, cohort, and phase."
- "Which vaccine assets could reach a BLA in the next two years?"
- "What does [ticker]'s pipeline say about its seasonal strategy?"
Production Grounding
- Vaccine evidence ladder: immunogenicity/seroconversion studies (correlates, not efficacy) → efficacy trials in healthy populations (large N, safety-first) → lot-consistency trials (immunogenicity equivalence across three manufacturing lots — a licensure gate) → age-cohort bridging for pediatric and elderly label expansion.
- Healthy-population design: the efficacy bar is safety-first; endpoints prevent infection or disease; power comes from large N, and placebo arms shrink post-licensure (non-inferiority and bridging designs follow).
- Lot consistency is a regulatory milestone, not a formality: without it, licensure stalls regardless of efficacy data.
- The ACIP gate is part of pipeline value: a Phase III vaccine without a plausible ACIP path carries an unmodeled commercial step.
- Booster cycles and variant updates re-open the market; cohort bridging extends the label beyond the pivotal population.
- Grounding detail lives in
references/knowledge-frameworks.md.
Data Source Priority
get_company_drugs/search_universe_drugs— vaccine asset inventory.search_clinical_trials/get_clinical_trial— study design type, cohorts, status-diff, enrollment.search_acip_events/get_acip_event— the gate path per vaccine;search_fda_approvalsfor BLA history.- Knowledge layer:
search_knowledge_entriesfor framework grounding.
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
- Pull vaccine assets (
get_company_drugs), cross-check the universe (search_universe_drugs). - Enrich per asset with trial records (
search_clinical_trials) — design type, cohorts, status. - Map the ACIP path per asset (
search_acip_events/get_acip_event). - Layer BLA and approval history (
search_fda_approvals). - Size each asset (peak x POS); ground in knowledge entries.
Temporal Scope
See frontmatter temporal_scope block. Seasonal and bridging cycles span years; history may reach back 8-12 quarters.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Asset enumeration
- Evidence-ladder mapping (immunogenicity → efficacy → lot consistency → bridging)
- ACIP-path assessment
- Cohort and booster overlay
- Risk-adjusted synthesis
Modes
- Phase scan (default): all vaccine assets by stage with next catalyst and ACIP path.
- Cohort bridge: age-cohort expansions, booster cycles, and label breadth.
- Competitor map: antigen and indication overlap with class-read.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| get_company_drugs empty | search_universe_drugs by company or indication; annotate coverage_gap |
| No trial rows | Mark design type undisclosed; do not guess efficacy vs immunogenicity |
| No ACIP rows | Flag the gate path unmodeled; never assume approval = availability |
| Knowledge tools empty | Proceed with structured data only |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_pipeline-vaccines_{affix}.md
Output Structure
- Executive Summary — pipeline stance in 2-3 sentences
- Asset Table — stage, design type, cohorts, next catalyst, ACIP path
- Evidence Ladder — immunogenicity vs efficacy vs lot-consistency status per asset
- Cohort & Booster Map — bridging studies, label breadth, seasonal strategy
- Risk-Adjusted Sizing — peak x POS with the two-gate path made explicit
- Coverage Gaps — missing records, undisclosed design, degraded modes
Error Handling
| Error | Fallback |
|---|---|
| Study design unknown | Mark "undisclosed"; do not guess |
| Efficacy vs correlate ambiguity | State both readings; never call seroconversion efficacy |
| No catalysts found | Say so explicitly; note the pipeline may be early-stage |
Memory Load
See contracts/memory-load.md.
Snapshot
See contracts/snapshot-synthesis.md.
Final Summary (TUI)
Include ### Key Citations block with 0-10 clickable /v/ URLs.
References
contracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdreferences/knowledge-frameworks.md


