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bjmrcft-hash

Multi Agent Config Manager

by bjmrcft-hash · GitHub ↗ · v7.2.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install multi-agent-config-manager
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install multi-agent-config-manager
  3. After installation, invoke the skill by name or use /multi-agent-config-manager
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug multi-agent-config-manager
Version 7.2.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Multi Agent Config Manager?

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. It is an AI Agent Skill for Claude Code / OpenClaw, with 111 downloads so far.

How do I install Multi Agent Config Manager?

Run "/install multi-agent-config-manager" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Multi Agent Config Manager free?

Yes, Multi Agent Config Manager is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Multi Agent Config Manager support?

Multi Agent Config Manager is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Multi Agent Config Manager?

It is built and maintained by bjmrcft-hash (@bjmrcft-hash); the current version is v7.2.0.

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