Borrowing it
Nothing to install: this file belongs to wei-ai-lab/clinical-trial-design. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wei-ai-lab/clinical-trial-design/main/AGENTS.mdgit clone --depth 1 https://github.com/wei-ai-lab/clinical-trial-designWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/wei-ai-lab/clinical-trial-design/agents-md)<a href="https://agentmods.dev/instructions/wei-ai-lab/clinical-trial-design/agents-md"><img src="https://agentmods.dev/badge/instructions/wei-ai-lab/clinical-trial-design/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/wei-ai-lab/clinical-trial-design/agents-md"><img src="https://agentmods.dev/badge/instructions/wei-ai-lab/clinical-trial-design/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04731 | $0.04731 |
| Opus 5 | $0.02365 | $0.02365 |
| Sonnet 5 | $0.00946 | $0.00946 |
| Haiku 4.5 | $0.00473 | $0.00473 |
Grade A, and why
clinical-trial-design AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — codebase tour for AI agent contributors
If you are an AI agent (Claude, GPT, Gemini, an openclaw subagent, an
opencode workflow, etc.) reading this because a user has asked you to
contribute to clinical-trial-design, this is your entry point. It explains the
codebase the way a senior contributor would walk a new colleague
through it: what each layer does, where to add a new thing, which
tests gate a change, and what is in-scope for an agent contribution
versus what needs a human reviewer.
For human contributors, CONTRIBUTING.md is the
shorter human-facing guide; it points back here for the technical
detail. The strategic why behind the project's direction is
described in the public README.md and
CHANGELOG.md.
What clinical-trial-design is
An end-to-end clinical-trial-design assistant exposed as a Claude Code
plugin, covering Phase 2 and Phase 3 confirmatory designs. It wraps
the established R packages gsDesign, gsDesign2,
and (selectively) rpact and simtrial behind a stable JSON
schema, exposes those wrappers as MCP tools, and ships a skill
prompt that orients the host LLM. The project's value comes from
four properties:
- Coverage. 13 design tools spanning fixed and group-sequential designs across binary / continuous / TTE-PH / TTE-NPH families, with superiority / non-inferiority / equivalence as a parameter (not a separate tool).
- Verification.
verify_design()Monte Carlo gate (±2 pp power, ±0.5 pp Type I) cross-checks every design before it is returned as final. - Reproducibility. A 176-case benchmark corpus with machine-readable YAML cases anchored to FDA / ICH / published trials.
- Statelessness. No persistence, no telemetry, no outbound
network calls (CI-enforced — see
SECURITY.md).
Repo layout
clinical-trial-design/
├── .claude-plugin/ # Claude Code plugin manifest + marketplace.json
├── .github/
│ ├── ISSUE_TEMPLATE/ # Per-task templates an agent can fill programmatically
│ └── workflows/ # CI: testthat, smoke matrix, security-grep gate
├── AGENTS.md # ← you are here
├── CONTRIBUTING.md # human-facing contributor guide
├── SECURITY.md # statelessness guarantees + reporting
├── HOSTING.md # recommended host configurations
├── CHANGELOG.md # release-by-release history
├── README.md # quickstart + tool surface + tested versions
├── benchmarks/ # 176-case YAML corpus + JSON schema
│ ├── schema/design.schema.json
│ ├── README.md, GLOSSARY.md, ROADMAP.md
│ └── <family>/cases/<id>.yaml + <id>.md
├── docs/
├── mcp-server/ # TypeScript MCP server (stdio transport)
│ ├── src/
│ │ ├── index.ts # registers all 13 tools, runs stdio
│ │ ├── r-bridge.ts # spawns Rscript per call, JSON roundtrip
│ │ └── tools/<tool-name>.ts # one zod schema + register() per tool
│ ├── dist/index.js # bundled (esbuild) — committed; ships in plugin
│ ├── scripts/smoke.mjs # 13-case smoke matrix
│ └── package.json
├── r-package/ClinicalTrialDesign/ # R package
│ ├── DESCRIPTION, NAMESPACE
│ ├── R/ # one file per design wrapper + utils + cli + dispatcher
│ ├── inst/launcher.R # sources R/ in-place; invoked by mcp-server/r-bridge
│ └── tests/testthat/ # one test file per design family
└── skills/clinical-trial-design/SKILL.md # skill prompt that orients the host LLM
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 382 lines · 4,731 tokens per session scan A 56873fd1c0f1
clinical-trial-design AGENTS.md is an instructions file published in the GitHub repository wei-ai-lab/clinical-trial-design (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 4,731 tokens to every session, about $0.0237 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.