pipeline-medicines

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Medicines pipeline analysis over structured universes: Phase I-III assets with probability-of-success discipline (unadjusted peak x POS = modeled value; POS changes logged with reasons), trial status-diff tracking, and mechanism/competitor mapping via drug-knowledge lookups.

Data & Documents 206 stars 16 forks Updated 2 days ago Apache-2.0

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Skill Content

> Methodology inspired by publicly taught pipeline-valuation frameworks; all text is an original paraphrase. ## Defaults | Parameter | Default Value | Rationale | |-----------|---------------|-----------| | asset_scope | all disclosed assets | Full-pipeline enumeration first | | pos_source | published phase transition ranges | Starting point, then adjusted with logged reasons | | status_diff | true | Previous vs current trial status shown per asset | | competitor_map | true | Same-target and same-indication crowding surfaced | | 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 drug pipeline by phase." - "What are the Phase II and III assets for [ticker]?" - "Risk-adjust [ticker]'s pipeline with explicit POS assumptions." - "Which of [ticker]'s programs is most valuable?" - "What trials recently changed status for [ticker]?" - "Who else is targeting [mechanism/target]?" - "How crowded is [indication], and what does that mean for [ticker]?" - "Log every POS change with reasons for [ticker]'s pipeline." - "What is the next catalyst for each of [ticker]'s assets?" - "Co...

Details

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

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