peer-bench-med

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Med peer benchmarking: select actual biotech/pharma peers via the med universe (drug/indication overlap where possible) and compare med-relevant metrics — pipeline depth, catalyst density, cash position, margins, valuation multiples.

AI & Automation 204 stars 16 forks Updated today Apache-2.0

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Skill Content

> Methodology inspired by publicly taught peer-comparison frameworks; all text is an original paraphrase. ## Defaults | Parameter | Default Value | Rationale | |-----------|---------------|-----------| | peer_count | 4-6 | Comparable-set size standard for comps | | peer_logic | indication/drug overlap first | Med peers are defined by science, not SIC codes | | include_med_metrics | true | Pipeline depth, catalyst density, cash runway | ## Preflight Run canonical pre-flight per `contracts/preflight.md`. Propagate X-Agentii-Trace per `contracts/x-agentii-trace-header.md`. ## Triggers - "Who are the closest peers to [biotech ticker]?" - "Benchmark [ticker] against its biotech comp set." - "How does [ticker]'s valuation compare to peers?" - "Which names compete with [ticker]'s pipeline?" - "Build a peer table with pipeline depth and cash." - "Is [ticker] expensive relative to its med peers?" - "Compare margins across the pharma peer group." - "What are the catalyst-dense names in this peer set?" - "Peer analysis for [ticker] with indication overlap." - "Which peers have the strongest balance sheets?" ## Production Grounding - Med peers are science-defined: use `get_company_drugs` to find indication/therapy overlap before financial comparison. - Med-relevant metrics: pipeline assets by phase, catalyst density (PDUFA/AdCom/trial readouts), cash runway (quarters), R&D productivity; generic margins only as secondary. - Grounding frameworks: `references/knowledge-frameworks.md...

Details

Author
agentii-ai
Repository
agentii-ai/agentii-investment-intelligence
Created
4 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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