Rounding
RConsortium/pharma-skills
Audit R code that prepares CSR/TLF statistics for SAS-compatible rounding compliance (ties away from zero, round-once-at-display, fixed trailing-zero precision).
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…
Install Trial Readout Analysis
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trial-readout-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis .claude/skills/trial-readout-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "trial-readout-analysis" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis into .claude/skills/trial-readout-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trial-readout-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trial-readout-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis .agents/skills/trial-readout-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trial-readout-analysis" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis into .agents/skills/trial-readout-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trial-readout-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trial-readout-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis .cursor/skills/trial-readout-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "trial-readout-analysis" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis into .cursor/skills/trial-readout-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trial-readout-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentii-ai/agentii-investment-intelligence.git --path plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trial-readout-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis .gemini/skills/trial-readout-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "trial-readout-analysis" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis into .gemini/skills/trial-readout-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trial-readout-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentii-ai/agentii-investment-intelligence trial-readout-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis .github/skills/trial-readout-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "trial-readout-analysis" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis into .github/skills/trial-readout-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trial-readout-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trial-readout-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis .opencode/skills/trial-readout-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "trial-readout-analysis" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis into .opencode/skills/trial-readout-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trial-readout-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
trial-readout-analysis- GitHub stars
- 207
- Token cost
- ~1.7k tokens
- SKILL.md length
- 648 words
- Files
- 3 (incl. references)
- Skills in repo
- 79
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
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…
- Works in 4 steps: search_clinical_trials /… → search_documents / read_source_* —… → search_fda_approvals — regulatory… → …
- Tasks that involve Clinical and healthcare research
- SKILL.md covers Defaults, Preflight, Triggers and Production Grounding, plus 11 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trial Readout Analysis is an agent skill from agentii-ai/agentii-investment-intelligence. 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.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/knowledge-frameworks.md` and `references/modes.md`).
It sits in Data & Analytics, covering Clinical and healthcare research and Statistics. The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Clinical and healthcare research
- Tasks that involve Statistics
Example prompts
- “/trial-readout-analysis”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 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.
What it can do on your machine
Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Trial Readout Analysis loads about 1.7k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 93 tokens; SKILL.md has 648 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 648 words, ~1,743 tokens.
Download SKILL.mdSave it as
.claude/skills/trial-readout-analysis/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- trial-readout-analysis
- description
- 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.
- sectors
- med.medicines_biotech, med.medical_devices
- multi_ticker_semantics
- single_target
- temporal_scope.default_quarters
- 4
- temporal_scope.max_quarters
- 8
- temporal_scope.description
- Readout window default 4 quarters; up to 8 for multi-trial programs.
- retrieval_scope
- unstructured_document_search
- min_tool_diversity
- 3
- parameter_free
- false
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. 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).
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.
Show full SKILL.md (232 more words)Show less
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
© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis of agentii-ai/agentii-investment-intelligence.
- SKILL.md
- references/knowledge-frameworks.md
- references/modes.md
Open the folder on GitHubat commit 86980e1
Compare with similar skills
Trial Readout Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Trial Readout Analysis this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| RoundingRConsortium/pharma-skills | 120 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Bio Clinical Biostatistics Effect MeasuresGPTomics/bioSkills | 1.2k | 2 repos | ~7k | Automated safety check: Pass | MIT | |
| Bio Clinical Biostatistics Categorical TestsGPTomics/bioSkills | 1.2k | 2 repos | ~6.3k | Automated safety check: Pass | MIT | |
| Table 1 Generator Advancedaipoch/medical-research-skills | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT |
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Questions about Trial Readout Analysis
What does Trial Readout Analysis do?
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…. Trial Readout Analysis is an agent skill from agentii-ai/agentii-investment-intelligence. 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.
When should I use Trial Readout Analysis?
Trial Readout Analysis fits situations like: tasks that involve Clinical and healthcare research; tasks that involve Statistics.
How do I install Trial Readout Analysis in Claude Code?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis in agentii-ai/agentii-investment-intelligence) into .claude/skills/trial-readout-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Trial Readout Analysis in Codex?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a codex`. Or copy the skill folder (plugins/vertical-plugins/bio-pharm/skills/agentii/trial-readout-analysis in agentii-ai/agentii-investment-intelligence) into .agents/skills/trial-readout-analysis in your project. Codex loads it when a task matches its description.
Can I use Trial Readout Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill trial-readout-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trial-readout-analysis, .gemini/skills/trial-readout-analysis, .github/skills/trial-readout-analysis and .opencode/skills/trial-readout-analysis in your project.
What does Trial Readout Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Trial Readout Analysis is instructions for the agent only.
Does Trial Readout Analysis access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Trial Readout Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Trial Readout Analysis use?
Trial Readout Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Trial Readout Analysis use?
About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Trial Readout Analysis?
Skills that share tags, products or a category with Trial Readout Analysis: Rounding (RConsortium/pharma-skills, 120 stars), Bio Clinical Biostatistics Effect Measures (GPTomics/bioSkills, 1.2k stars), Bio Clinical Biostatistics Categorical Tests (GPTomics/bioSkills, 1.2k stars) and Table 1 Generator Advanced (aipoch/medical-research-skills, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trial Readout Analysis?
agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.
Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.