← 返回 Skills 市场
bjmrcft-hash

Multi Agent Config Manager

作者 bjmrcft-hash · GitHub ↗ · v7.2.0 · MIT-0
cross-platform ⚠ suspicious
111
总下载
1
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install multi-agent-config-manager
功能描述
多代理编排引擎 - 目标驱动的深度研究与项目协作系统。支持任务分解、分支执行、验证审核、返工迭代、智能决策。遵循第一性原理,实现主代理与分支代理的双向通信。触发词:多代理、multi-agent、代理编排、深度研究、目标分解、任务委派、工作流、agent orchestrate、multi agent
安全使用建议
This skill appears to do what it says (a multi‑agent orchestrator) and contains substantial source code rather than being instruction‑only. Before installing or running it: 1) Back up any important files under ~/.openclaw or your workspace; the skill will create/modify files there and its clean/archive commands delete files in shared/. 2) Run multi-agent-orchestrator check_env and review the returned list; prefer dry_run modes where available. 3) Inspect .multi-agent-profiles.json and other generated configs before accepting auto‑configure; consider creating the directory structure yourself and supplying minimal configs first. 4) Be cautious running long tasks: PollMonitor has an identified busy‑loop risk (may spin if not used with the intended agent yield) — test on a safe task and adjust pollInterval/timeout. 5) No external credentials are required by the skill, but do not place secrets inside the workspace that you do not want archived/copied. If you need lower risk, run the skill in an isolated environment or container and review the code paths for archive/clean before giving it access to production data.
功能分析
Type: OpenClaw Skill Name: multi-agent-config-manager Version: 7.2.0 The skill bundle is a highly complex and well-documented multi-agent orchestration engine designed for task decomposition, parallel execution, and result aggregation within the OpenClaw environment. It utilizes platform-specific APIs like sessions_spawn and subagents to manage workflows. While the system possesses broad file system capabilities—including automated workspace directory creation (lib/config_validator.js), result archiving, and temporary file cleanup (lib/archiver.js)—these actions are strictly aligned with its stated purpose of managing research projects. The code includes robust error handling, quality validation (lib/validator.js), and detailed audit logs (AUDIT_v8.1.md), indicating a focus on operational reliability and transparency. No evidence of data exfiltration, unauthorized persistence, or malicious command execution was detected.
能力评估
Purpose & Capability
Name, SKILL.md and included source files implement a multi‑agent orchestrator: executor, PollMonitor, aggregator, archiver, config validator, model selector, etc. The required behavior (workspace directories, spawning subagents via OpenClaw APIs, collecting/archiving outputs) matches the described functionality. There are no requests for unrelated external credentials or network endpoints.
Instruction Scope
Runtime instructions and SKILL.md describe environment checks, creation of a .openclaw/workspace layout, auto‑configuration, run/plan/archive/clean commands, and file‑based progress/aggregation. This is expected for this tool, but the skill will create configuration files and directories under the user's home and will delete files in the shared/ area when clean/archive operations run. The docs claim it waits for user confirmation before auto‑configuring, but several helper functions (e.g., loadJSON) will create files/directories if missing; commands such as init and archiveAndClean perform filesystem writes/deletes. Also the PollMonitor/collectResults behavior uses file polling which (per audits) contains a code path that can busy‑loop if not run with the expected cooperative yield — this is a functional risk (CPU/duration) rather than evidence of malicious intent.
Install Mechanism
No external install/download URLs or package registries are used; the skill is delivered as source files included in the bundle (no install spec). That reduces supply‑chain surprise. All imports are local modules and Node.js built‑ins. No external arbitrary archive/extract from untrusted URLs was found.
Credentials
The skill does not request secrets or unrelated environment credentials. It reads common environment variables (HOME/USERPROFILE, optionally OPENCLAW_VERSION) appropriate to its purpose. There are no requests for cloud keys or unrelated tokens in the metadata.
Persistence & Privilege
The skill is not always:true and is user‑invocable; it can run autonomously (disable-model-invocation is false) which is normal for skills. It writes persistent state under ~/.openclaw/workspace (creating profiles, agents/, shared/, archive/, progress files) and backs up/overwrites JSON files. It also deletes files in shared/ during clean operations. This persistence is consistent with a workspace manager but increases blast radius for accidental data deletion or inclusion of sensitive workspace files in archives.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install multi-agent-config-manager
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /multi-agent-config-manager 触发
  4. 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
v7.2.0
**Major update to v8.0 “multi-agent-orchestrator”, featuring core optimizations and enhanced reliability.** - Significantly reduced token usage with new prompt compression (~800 lines → ~80 lines), saving 25–30% on JSON workflows. - Introduced strict JSON output option and multiple failure boundary strategies (skip/fallback/partial/retry). - Added lightweight execution engine (`executorLite.js`) for efficient, structured outputs. - Enhanced environment checks and automated, user-guided configuration for seamless startup. - Improved command set and workflow directory validation, with clear recovery actions for missing configs. - Maintained cross-platform support (Windows/macOS/Linux) and robust compatibility with external configuration.
元数据
Slug multi-agent-config-manager
版本 7.2.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Multi Agent Config Manager 是什么?

多代理编排引擎 - 目标驱动的深度研究与项目协作系统。支持任务分解、分支执行、验证审核、返工迭代、智能决策。遵循第一性原理,实现主代理与分支代理的双向通信。触发词:多代理、multi-agent、代理编排、深度研究、目标分解、任务委派、工作流、agent orchestrate、multi agent. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 111 次。

如何安装 Multi Agent Config Manager?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-config-manager」即可一键安装,无需额外配置。

Multi Agent Config Manager 是免费的吗?

是的,Multi Agent Config Manager 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Multi Agent Config Manager 支持哪些平台?

Multi Agent Config Manager 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 Multi Agent Config Manager?

由 bjmrcft-hash(@bjmrcft-hash)开发并维护,当前版本 v7.2.0。

💬 留言讨论