trial-readout-analysis
SkillDev toolsClinical-trial readout analysis: pull the trial, evaluate the readout with AdCom-style scrutiny (endpoints, statistics, subgroups, missing data, safety, tolerability/persistence), place it in a cross-trial comparison lattice vs SoC and class peers, and size the stock reaction with historical grounding. The judgment core for binary biotech events.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the trial-readout-analysis skill
What this skill tells your AI
The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis/SKILL.md and read by ahel’s review.
Methodology inspired by publicly taught clinical-trial frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| scrutiny_axes | all six + tolerability | Safety/stats/subgroups/missing data/endpoints/benefit-risk + tolerability/persistence as co-equal axis |
| lattice_comparators | SoC + class peers | Every readout is placed against standard of care and same-class peers |
| safety_imbalance | defer to outcomes | Small-N safety imbalances defer the verdict to a larger outcomes trial |
| conflict_policy | materiality-rated | Conflicting readings surfaced verbatim, rated by materiality or deferred |
| outcome_framing | base/bull/bear | Binary readouts need scenario sizing |
| reaction_context | historical cases | Size moves from past analogues |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
Triggers
- "Evaluate [ticker]'s upcoming trial readout."
- "What should I look for in [trial]'s data?"
- "Size the readout for [drug] phase 3."
- "What did the AdCom-style scrutiny say about similar trials?"
- "Base/bull/bear for [ticker]'s readout."
- "Which endpoints matter for [trial]?"
- "How has the market reacted to similar readouts?"
- "Readout checklist for [ticker]."
- "Is this trial design adequate?"
- "What are the red flags in [trial]'s design?"
Production Grounding
- Readout ≠ approval: phase-3 success is necessary but not sufficient; FDA re-analyzes sponsor data.
- Apply the six scrutiny axes (safety signals, statistical adequacy, subgroup analyses, missing data, endpoint appropriateness, benefit-risk) plus tolerability/persistence as a co-equal axis — discontinuation rates, dose reductions, and AE-driven dropout often decide commercial uptake. The 道/法 frameworks in
references/knowledge-frameworks.mdare the authoritative checklist. - Cross-trial lattice: every readout is placed against standard of care and same-class peers on aligned endpoints; a readout judged in isolation is incomplete.
- Safety-imbalance deferral: a safety imbalance seen at readout scale defers the verdict to a larger outcomes trial; never over-weight small-N imbalances.
- Materiality-rated conflicts: conflicting characterizations of the same data are surfaced verbatim and rated by materiality or deferred — never averaged.
- Readout framing: readout design, then stock sizing (binary-risk expected value), then historical analogue comparison.
Data Source Priority
search_clinical_trials/get_clinical_trial— design, status, endpoints, dates.search_documents/read_source_*— sponsor disclosure, prior data cuts.search_fda_approvals— regulatory history of the drug/program.- Knowledge layer:
search_investment_cases(event_type=trial_readout|adcom_vote)+ strategies for judgment frameworks.
Methodology
Retrieval Scope
unstructured_document_search
Retrieval Strategy
- Pull the trial record (
get_clinical_trialby NCT id, orsearch_clinical_trialsby drug/ticker). - Assess design + endpoint quality against scrutiny axes, including tolerability/persistence.
- Build the cross-trial lattice: comparator trials for SoC and class peers on aligned endpoints.
- Frame base/bull/bear outcomes with sizing; defer safety-imbalance verdicts to outcomes trials where needed.
- Ground in historical readout/adcom cases via knowledge tools.
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Trial record
- Scrutiny-axes assessment (incl. tolerability/persistence)
- Cross-trial lattice vs SoC and class peers
- Outcome scenarios + sizing
- Analogue grounding
Modes
- Pre-readout (default): design scrutiny + scenario sizing.
- Post-readout: results evaluation + reaction context.
- Program view: multiple trials across a program.
Tool Fallbacks
| Failure | Fallback |
|---|---|
| search_clinical_trials empty | Use filings + press via search_documents; annotate coverage_gap |
| Trial record thin | Note undisclosed fields; do not fabricate |
| Knowledge tools empty | Proceed with structured data + static frameworks |
Output File
{ticker}/{YYYY-MM-DD_HHMM}_trial-readout-analysis_{affix}.md
Output Structure
- Executive Summary — readout stance in 2-3 sentences
- Trial Profile — design, endpoints, status, dates
- Scrutiny Assessment — the six axes plus tolerability/persistence, with evidence
- Cross-Trial Lattice — aligned endpoints vs standard of care and class peers
- Outcome Scenarios — base/bull/bear with sizing; safety-imbalance deferrals flagged
- Historical Analogues — cases with /v/ citations
- Coverage Gaps — degraded flags
Error Handling
| Error | Fallback |
|---|---|
| NCT id unknown | Search by drug/ticker; flag if unresolved |
| Endpoints undisclosed | Flag explicitly; scrutiny limited to disclosed data |
| Conflicting readings of the same data | Surface both verbatim; rate materiality or defer to a larger outcomes trial — never average |
| No comparator data for the lattice | Mark lattice cells unavailable; flag the gap — do not guess |
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
Signals
- GitHub stars
- 204
- Forks
- 16
- Last commit
- Sep 2026
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trial-readout-analysis- Source
- github.com/agentii-ai/agentii-investment-intelligence