rdp / conversation / ssl
General SOP for common requests related to rdp, conversation, ssl.
npx skills add ECNU-ICALK/AutoSkill --skill rdp-conversation-ssl --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# rdp / conversation / ssl General SOP for common requests related to rdp, conversation, ssl. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: 1b9d93bb5b4591ff97b67f623c3c3600.json#conv_1 3) Use the user questions below as the PRIMARY extraction evidence. 4) Use the full conversation below as SECONDARY context reference. 5) In the full conversation section, assistant/model replies are reference-only and not skill evidence. 6) Primary User Questions (main evidence): 7) 现在想写一个互联网暴露面资产网络安全运营规范,请问以下内容还有哪些需要完善的地方:第三十二条 各互联网暴露面应落实日志留存相关要求,定期进行日志审计,及时发现异常行为并开展核查处置。 8) (一)日志留存。互联网暴露资产应完成日志采集能力100% 部署,日志留存时间不得少于 6 个月。 9) (二)日志集中纳管。互联网暴露资产的登陆日志、操作日志、告警日志、中间件等关键日志信息应集中采集统一管理。应推进安全防护组件(包含不限于防火墙、IPS/IDS、WAF、全流量、4A)日志的集中采集和关联分析。 10) (三)日志审计。推进安全日志审计能力建设,明确日志审计责任人,应每月执行日志审计并形成审计报告存档备查。 For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next. ## Triggers - Use when the user asks for a process or checklist. - Use when you want to reuse a previously mentioned method/SOP. ## Examples ### Example 1 Inpu
- Prompt
- Triggers
- Examples
- Example 1
What does the rdp / conversation / ssl skill do?
General SOP for common requests related to rdp, conversation, ssl.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill rdp-conversation-ssl --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
