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trial-readout-analysis

SkillDev tools

Clinical-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.

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

ParameterDefault ValueRationale
scrutiny_axesall six + tolerabilitySafety/stats/subgroups/missing data/endpoints/benefit-risk + tolerability/persistence as co-equal axis
lattice_comparatorsSoC + class peersEvery readout is placed against standard of care and same-class peers
safety_imbalancedefer to outcomesSmall-N safety imbalances defer the verdict to a larger outcomes trial
conflict_policymateriality-ratedConflicting readings surfaced verbatim, rated by materiality or deferred
outcome_framingbase/bull/bearBinary readouts need scenario sizing
reaction_contexthistorical casesSize 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.md are 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

  1. search_clinical_trials / get_clinical_trial — design, status, endpoints, dates.
  2. search_documents / read_source_* — sponsor disclosure, prior data cuts.
  3. search_fda_approvals — regulatory history of the drug/program.
  4. Knowledge layer: search_investment_cases(event_type=trial_readout|adcom_vote) + strategies for judgment frameworks.

Methodology

Retrieval Scope

unstructured_document_search

Retrieval Strategy

  1. Pull the trial record (get_clinical_trial by NCT id, or search_clinical_trials by drug/ticker).
  2. Assess design + endpoint quality against scrutiny axes, including tolerability/persistence.
  3. Build the cross-trial lattice: comparator trials for SoC and class peers on aligned endpoints.
  4. Frame base/bull/bear outcomes with sizing; defer safety-imbalance verdicts to outcomes trials where needed.
  5. Ground in historical readout/adcom cases via knowledge tools.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

  1. Trial record
  2. Scrutiny-axes assessment (incl. tolerability/persistence)
  3. Cross-trial lattice vs SoC and class peers
  4. Outcome scenarios + sizing
  5. 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

FailureFallback
search_clinical_trials emptyUse filings + press via search_documents; annotate coverage_gap
Trial record thinNote undisclosed fields; do not fabricate
Knowledge tools emptyProceed with structured data + static frameworks

Output File

{ticker}/{YYYY-MM-DD_HHMM}_trial-readout-analysis_{affix}.md

Output Structure

  1. Executive Summary — readout stance in 2-3 sentences
  2. Trial Profile — design, endpoints, status, dates
  3. Scrutiny Assessment — the six axes plus tolerability/persistence, with evidence
  4. Cross-Trial Lattice — aligned endpoints vs standard of care and class peers
  5. Outcome Scenarios — base/bull/bear with sizing; safety-imbalance deferrals flagged
  6. Historical Analogues — cases with /v/ citations
  7. Coverage Gaps — degraded flags

Error Handling

ErrorFallback
NCT id unknownSearch by drug/ticker; flag if unresolved
Endpoints undisclosedFlag explicitly; scrutiny limited to disclosed data
Conflicting readings of the same dataSurface both verbatim; rate materiality or defer to a larger outcomes trial — never average
No comparator data for the latticeMark 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.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md
  • references/knowledge-frameworks.md

Signals

GitHub stars
204
Forks
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Last commit
Sep 2026
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Catalog kind
skill
Gateway key
trial-readout-analysis
Source
github.com/agentii-ai/agentii-investment-intelligence