Smart Agent Workflow

AI Agent 工作方法论 Skill — 专注 3高（高质量+高效率+高节省）。提供任务类型判断、WBS 拆分、P0/P1 分级汇报、安全检查、Context 管理。渠道无关，适用于 Claude Code、Cursor、Codex、OpenClaw 等任何 AI agent。唯一提供完整工作方法论的 Skill。

This skill appears to implement a coherent "agent workflow + memory" system, but it has two things you should check before installing or enabling it: 1) Prompt / policy injection: The SKILL.md recommends adding ~/smart-agent/AGENTS.md into an agent's system prompt (CLAUDE.md / Rules for AI). That gives the repository persistent control over agent behavior. Do NOT add it blindly — first read the AGENTS.md and related docs and decide if you trust these rules. Prefer adding rules to a sandboxed agent or enabling them only per-session rather than globally. 2) Local persistence & privacy: integrations/memory_manager.py writes history and memory files and will call an ai_client to compress/summarize conversations. Confirm (a) where those files will be stored, (b) whether they may contain secrets or PII, and (c) which AI client/endpoints will be used for compression (local-only vs remote). If you keep sensitive data in your agent environment, consider disabling automated compression or ensuring the ai_client is local and cannot send data to external services. Additional practical steps: - Inspect scripts (safe_write.sh, compress_hot.sh, archive_logs.sh, generate_report.sh) before running them. They operate on the local filesystem and are used by the skill. - Avoid running curl | sh install commands from documentation unless you audit them (docs suggest running Ollama installer). - If you want to limit risk, use the skill only as user-invoked (do not allow autonomous invocation to modify system prompts or write persistent files), or run it in an isolated/sandboxed agent account with no access to production secrets. If you want, I can list the exact files/lines that cause the highest-risk behaviors (the AGENTS.md prompt-injection instruction, memory_manager's compress routine, and the docs' external-install commands) so you can review them line-by-line.

Type: OpenClaw Skill Name: smart-agent-workflow Version: 1.2.0 The 'smart-agent-workflow' bundle is a comprehensive productivity framework designed to improve AI agent efficiency through structured task decomposition (WBS), memory management, and performance reporting. It contains standard shell scripts for log maintenance and a Python module for conversation summarization, all of which align with the stated purpose. Notably, the bundle includes explicit security instructions in AGENTS.md and SECURITY_CHECK.md that forbid the recording of sensitive data (keys/passwords) and mandate user confirmation for destructive or external operations, indicating a focus on safety and resource optimization.