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在 OpenClaw 中安装
/install openclaw-memory-pipeline
功能描述
Install, repair, and validate a persistent memory workflow for OpenClaw-style agents using Markdown memory files plus recurring cron jobs. Use when setting u...
安全使用建议
This skill appears to do what it says: create and verify a Markdown-based memory folder structure and check that three cron jobs are present. Before installing or allowing the agent to run it, review that you are comfortable with: 1) the scripts creating files/directories in your workspace (MEMORY.md and memory/...), 2) the requirement that cron jobs be installed/enabled (the skill does not auto-install them), and 3) the verify script calling a local 'openclaw cron list --json' if present. If you don't use the OpenClaw CLI or you don't want the agent to manage scheduler entries, skip cron installation and run the scripts with --skip-cron. As always, inspect the two small Python scripts (they are readable and local) and back up any existing memory files before running repairs or migrations.
功能分析
Type: OpenClaw Skill
Name: openclaw-memory-pipeline
Version: 0.1.0
The bundle implements a structured Markdown-based memory system for OpenClaw agents, utilizing a pipeline of inbox, raw archives, and summaries managed via cron jobs. The Python scripts (init_memory_pipeline.py and verify_memory_pipeline.py) perform legitimate filesystem initialization and status verification using the local 'openclaw' CLI, with no evidence of data exfiltration, malicious command execution, or deceptive prompt injection.
能力评估
Purpose & Capability
Name/description match the contents: SKILL.md, reference docs, and two helper scripts all focus on creating/validating Markdown memory files and checking cron jobs for an OpenClaw-style workspace. Nothing requested (no env vars, no external installs) is out of scope for the stated purpose.
Instruction Scope
Instructions are narrowly scoped to creating/verifying memory files and installing three cron jobs; they do ask the operator/agent to 'install' cron jobs but do not include automated install steps. The verification script checks cron payloads and workspace references. This is expected but note that actually creating cron jobs requires scheduler/CLI access (e.g., an 'openclaw' CLI or other tooling) which is external to the skill.
Install Mechanism
No install spec (instruction-only) and only two small Python helper scripts included. No downloads from external URLs or package installs; low-risk in terms of code being written to disk by an installer. Scripts write only local files/directories in the chosen workspace.
Credentials
The skill declares no environment variables, secrets, or config paths. The included scripts run only local filesystem checks and (optionally) invoke a local 'openclaw' CLI; they do not reference unrelated credentials or other services.
Persistence & Privilege
always is false and the skill does not request elevated or persistent platform privileges. It does recommend installing recurring cron jobs (expected for this functionality), which requires scheduler access; autonomous model invocation is allowed by default but not by itself a risk here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install openclaw-memory-pipeline - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-memory-pipeline触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Initial beta release: Markdown memory pipeline for OpenClaw with structured memory directories, three-stage cron workflow guidance, initialization script, and workspace-aware verification script.
元数据
常见问题
Memory Pipeline 是什么？
Install, repair, and validate a persistent memory workflow for OpenClaw-style agents using Markdown memory files plus recurring cron jobs. Use when setting u... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 154 次。
如何安装 Memory Pipeline？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-memory-pipeline」即可一键安装，无需额外配置。
Memory Pipeline 是免费的吗？
是的，Memory Pipeline 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Memory Pipeline 支持哪些平台？
Memory Pipeline 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Memory Pipeline？
由 Lilyanne（@maiusless）开发并维护，当前版本 v0.1.0。
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