ct-samplesize@5.15.0
VERIFIED· install onlyPublisher claims: "Sample size and power calculation tool for clinical trial practitioners, covering 67 test types and returning publication-grade SVG figures. Natural-language driven; full reproducible R code is returned by default. / 为临床试验从业者提供的样本量与检验效能计算工具，覆盖 67 种检验，并提供 SVG 出版级别图形。自然语言驱动，默认回传完整 R 代码。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-15 and scored it 89/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
r = subprocess.run(cmd, capture_output=True, text=True, timeout=180)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.- 写入后尝试 chmod 0600（失败忽略，不打断技能）。Fix: Request the narrowest permission that works; replace wildcards with the exact paths or hosts.out = subprocess.check_output(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.proc = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.