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Paid Bundle V1.1
作者
~K¹yle Million
· GitHub ↗
· v1.1.1
· MIT-0
79
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install paid-bundle-v1-1
功能描述
Production-validated OpenClaw skills built for production Claude Code deployments. Compaction, loop termination, session memory, bash security, agent memory...
安全使用建议
Do not install blindly. Before copying anything: 1) obtain the seven phase SKILL.md files from a trustworthy source (official ClawHub or the known vendor) — do not paste files from random locations; 2) manually inspect each phase SKILL.md to see exactly what file paths, scans, or commands the agent will run (look for any references to reading system files, credentials, network exfiltration, or exec of arbitrary binaries); 3) confirm why CLAUDE_CODE_REMOTE_MEMORY_DIR is needed and pick a restricted path (not a system or root-owned dir); 4) run the bundle first in an isolated VM or disposable account to observe behavior; 5) prefer vendors that publish source/release URLs and checksums; 6) if you allow autonomous invocation, limit model/skill permissions and monitor logs for unexpected spawning or file access. If you cannot verify the origin of the missing phase files or cannot review their contents, treat the bundle as untrusted.
能力评估
Purpose & Capability
The SKILL.md describes production-focused architectures (compaction, loop termination, memory scoping, bash validators, coordinator/fork patterns) and the requested actions (copy SKILL.md files to ~/.openclaw/workspace/skills and set a memory dir) align with that purpose. However the bundle claims 7 phase files but this package contains only a single descriptor; that omission is inconsistent with the stated package contents and source (homepage/source unknown) is not provided.
Instruction Scope
Runtime instructions tell the user to copy seven SKILL.md files into the agent skills directory and to set CLAUDE_CODE_REMOTE_MEMORY_DIR for persistent memory; the descriptor also references 'file scanning' and forked agent behavior. Those capabilities (persisting/scanning files, spawning/forking agents, sharing caches) expand what an agent may access and do autonomously — so you must inspect the actual per-phase SKILL.md files before installation. The metadata claims no required env vars but the doc explicitly instructs setting CLAUDE_CODE_REMOTE_MEMORY_DIR, an inconsistency.
Install Mechanism
There is no automated install spec (instruction-only), so nothing will be written automatically by an installer. That lowers technical install risk, but the instructions assume you will obtain and copy seven SKILL.md files from the package — those files are not present here and no authoritative download location or release host is provided. Manual file copying from an unknown source is a potential supply-chain risk.
Credentials
The bundle requests a single non-secret env var (CLAUDE_CODE_REMOTE_MEMORY_DIR) for persistence; that by itself is reasonable. But registry metadata lists no required env vars while the SKILL.md mandates this variable — an inconsistency. Also enabling remote/persistent memory and file-scanning behaviors increases how much local data an agent may access; while not a credential request, this is a higher-privilege capability and should be justified and audited.
Persistence & Privilege
The skill instructs installing persistent SKILL.md files into the agent skills directory and sets up remote-memory persistence (survives WSL2 resets), plus multi-agent coordinator and forked-agent patterns. Those persistent capabilities and agent-spawning behaviors broaden the blast radius for an autonomously-invoking agent. 'always' is false, but combined with the other capabilities this heightens risk if you enable these features without code/content review.
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 paid-bundle-v1-1 - 安装完成后，直接呼叫该 Skill 的名称或使用
/paid-bundle-v1-1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
v1.1.1
Remove Anthropic attribution language
元数据
常见问题
Paid Bundle V1.1 是什么？
Production-validated OpenClaw skills built for production Claude Code deployments. Compaction, loop termination, session memory, bash security, agent memory... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 79 次。
如何安装 Paid Bundle V1.1？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install paid-bundle-v1-1」即可一键安装，无需额外配置。
Paid Bundle V1.1 是免费的吗？
是的，Paid Bundle V1.1 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Paid Bundle V1.1 支持哪些平台？
Paid Bundle V1.1 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 Paid Bundle V1.1？
由 ~K¹yle Million（@thebrierfox）开发并维护，当前版本 v1.1.1。
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