open-ended-goal-discovery@1.0.0
CAUTION· static onlyPublisher claims: "开放式目标发现：让 agent 不再被动接任务，而是主动从能力图谱、用户兴趣信号与反馈中 自主发现值得攻克的新目标。对候选目标做 价值×新颖度×可行性×用户对齐 四维打分并排序， 输出 Top-N 建议。纯标准库、可本地实跑，是"超级智能体"主动设目标能力的延伸与强化。" Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-09 and scored it 71/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
No findings across 472 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.
What would make this Verified
9 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim qq435912743: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.