菜单
Proactive agent that detects signals and suggests actions with Slack notifications. Use when working with joko proactive agent.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/oyi77/1ai-skills --skill joko-proactive-agent命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Android and mobile application security testing — emulators, rooting, traffic interception, dynamic instrumentation. Use when testing mobile apps for vulnerabilities, reversing APKs, or bypassing security controls on Android.
Self-reflection + Self-criticism + Auto-learning from corrections + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when working with self improving.
Plan and execute a comprehensive red team engagement covering reconnaissance through post-exploitation using MITRE ATT&CK-aligned TTPs to evaluate an organization's detection and response capabilities. Use when working with conducting full scope red team engagement.
基于 SOC 职业分类
正在显示 SKILL.md
| name | joko-proactive-agent |
| description | Proactive agent that detects signals and suggests actions with Slack notifications. Use when working with joko proactive agent. |
| domain | core |
| author | oyi77 |
| license | Apache-2.0 |
| subdomain | core-platform |
| tags | ["agent","ai-agent","infrastructure","joko","memory","proactive","self-improvement","slack"] |
| allowed-tools | ["MCP(slack:*)","MCP(notion:*)"] |
| version | 1.0.0 |
Trigger phrases:
Use cases:
When NOT to use:
Proactive agent that monitors business signals, detects opportunities/issues, and suggests actions with Slack notifications.
Joko Proactive Agent is a foundational core infrastructure skill that provides system foundation capabilities for the agent ecosystem.
| Rationalization | Reality |
|---|---|
| "I will add monitoring later" | Without monitoring, you cannot detect failures. Add it from day one. |
| "One model is enough" | Different tasks need different models. Route intelligently. |
| "Premature optimization" | Infrastructure decisions are hard to change later. Design for scale early. |
# Example: Model routing
ROUTES = {
"code": ["claude-sonnet-4-20250514", ],
: [, ],
: [, ],
}
():
models = ROUTES.get(task, ROUTES[])
model models:
:
call_model(model, prompt)
Exception:
RuntimeError()