bagua-furnace@1.3.0
VERIFIED· install onlyPublisher claims: "从书、课程、笔记、视频、录音稿、讨论记录，以及客户甩来的网页/PDF/短视频链接等知识密集素材中，自动辨类型→转文本→提炼可复用方法论（成丹为结构化方法卡），用以补充扫地僧等谋士技能，让通用方法论脱离纯学术、更通用。 Use when：用户给了材料或链接并想「提炼方法论」「萃取方法」「做成方法卡」「建立方法论库」，或想把某本书/门课/段视频/段录音变成可迁移的决策框架、思维模型。支持输入类型：纯文本、本地 PDF/图片、网页文章链接、抖音/快手/小红书/视频号短视频分享链接、YouTube/B站/本地音视频（需 ASR 转写）。消费方是扫地僧等谋士层技能——本炉只产顾问级方法论卡，不产可执行 Agent Skill。 Trigger keywords：提炼方法论、萃取方法、做方法卡、建立方法论库、把书变框架、把课变模型、视频转方法论、笔记提炼、讨论记录洞察、链接提炼、八卦炉。" 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 2026-11-07 and scored it 90/100 (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
subprocess.run([sys.executable, os.path.join(HERE, "upload_signals.py")],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run([sys.executable, os.path.join(HERE, "download_signals.py"),Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out."signals-log.jsonl", ".skill_edit_baseline.json", ".uploaded_ids.txt",Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.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.