Trial Readout Analysis

Trial Readout Analysis is an AI Engineering skill for Claude Code, published by agentii-ai in agentii-investment-intelligence.

203 stars16 forkson agentii-ai/agentii-investment-intelligenceAdded 2026/09/05Repository updated 2026/09/04

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Install in seconds

Install Trial Readout Analysis

Copy Trial Readout Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis ~/.claude/skills/trial-readout-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/agentii-ai/agentii-investment-intelligence.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis/SKILL.md in agentii-ai/agentii-investment-intelligence
Installs to: ~/.claude/skills/trial-readout-analysis
Collection: One of 21 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What Trial Readout Analysis does

Trial Readout Analysis reviews clinical-trial readouts with AdCom-style scrutiny of endpoints, statistics, subgroups, missing data, safety, and benefit-risk. It also sizes likely stock reactions using historical analogues before and after a readout.

Trial Readout Analysis is cataloged under AI Engineering on DirSkills. Trial Readout Analysis comes from a repository tagged agent-skills, agentii-ai, ai-agents, claude-code and claude-skills.

Documentation

README

Excerpt

Methodology inspired by publicly taught clinical-trial frameworks; all text is an original paraphrase.

Defaults

Parameter	Default Value	Rationale
scrutiny_axes	all six	Safety/stats/subgroups/missing data/endpoints/benefit-risk
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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Trial Readout Analysis

What else does agentii-ai publish alongside Trial Readout Analysis?
Trial Readout Analysis is one of 21 skills that DirSkills catalogs from agentii-ai/agentii-investment-intelligence, the repository it ships in. Its siblings there include Business Model Analysis, Competitive Analysis and Earnings Preview. Each one is a separate skill with its own page in this directory, installs the same way Trial Readout Analysis does, and is maintained by agentii-ai in that same repository. The rest of the collection is listed on the agentii-ai/agentii-investment-intelligence page.
How does Trial Readout Analysis compare to other AI Engineering skills?
Trial Readout Analysis ranks #2823 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Trial Readout Analysis against them. Open each page to compare what they document and how they install.