active-causal-experiment@1.0.0
VERIFIED· install onlyPublisher claims: "因果世界模型主动实验（Active Causal Experiment Design）。面对多个候选因果结构时，不被动观察，而是主动设计干预 do-operation，用期望信息增益/最优实验设计挑选最能区分候选结构的实验，Bayesian 更新后验，以最少实验辨识真实因果结构。当需要主动做实验以最快弄清变量间因果关系、设计 A/B 或干预实验、在多个竞争因果假设中高效辨识时使用。" 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 2026-11-09 and scored it 93/100 (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
No findings across 648 lines in 5 files.
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.