cross-model-knowledge-extraction@1.0.0
VERIFIED· install onlyPublisher claims: "跨模型蒸馏工程化的第一环：从 WorkBuddy 内部教师技能的 SKILL.md（或任意技能正文） 中结构化提取能力签名——工作流步骤、触发场景、已知限制/坑、工具脚本、以及可被 蒸馏的决策规则（if/when-then/必须）。输出 JSON 能力画像，直接喂给 model-distillation 的签名合成与对抗验证。纯标准库、零依赖、可本地实跑（--selftest 自带样例）。" 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 482 lines in 6 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.