技能详情（站内镜像，无评论）
作者：AIpoch @AIPOCH-AI
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v0.1.0
统计：⭐ 0 · 35 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：aipoch-ai/adaptive-trial-simulator
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code and instructions are coherent with a Monte‑Carlo adaptive trial simulator and do not request unrelated credentials or system access, but I could not verify the very end of the shipped script (truncated) so review before running is recommended.
目的
Name/description (adaptive clinical trial simulator) match the provided artifacts: SKILL.md documents simulation parameters and the included scripts/main.py implements sampling, alpha spending, conditional power, and sample‑size reestimation. No unrelated credentials, binaries, or config paths are requested.
说明范围
SKILL.md tells the agent to run the included Python script with simulation flags; the instructions do not ask for reading unrelated files, environment variables, or network endpoints. The README claims 'No network access' and the visible portion of main.py contains only local numeric computations and file output. However the provided main.py content was truncated in this package listing, so the tail of the script (where unexpected behavior cou…
安装机制
No install spec; it's instruction‑only plus a Python script. Dependencies are standard scientific packages (numpy, scipy, matplotlib) declared in requirements.txt — no remote/executable downloads or custom install scripts detected.
证书
The skill requests no environment variables, credentials, or config paths. Declared dependencies and runtime needs (Python 3.8+, NumPy/SciPy/Matplotlib) are proportionate to a statistical simulation tool.
持久
The skill does not request always: true and does not modify agent/system configuration. It runs as a local script and writes simulation results (expected behaviour). No elevated persistence or cross‑skill config access is present in visible files.
综合结论
This skill appears to implement what it claims (a Monte Carlo adaptive trial simulator) and does not request secrets or system privileges. Before running: (1) inspect the entire scripts/main.py (search for network modules like requests/urllib/socket, subprocess/exec/eval, os.environ access, or obfuscated strings) since the provided listing was truncated; (2) run it in a sandbox or isolated environment first (container/VM); (3) pin or audit dep…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Adaptive Trial Simulator」。简介：Design and simulate adaptive clinical trials with interim analyses, sample size…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aipoch-ai/adaptive-trial-simulator/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
暂无本地缓存内容，可在后台执行详情同步。