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Multi Agent Config Manager
by
bjmrcft-hash
· GitHub ↗
· v7.2.0
· MIT-0
111
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1
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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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-agent-config-manager - After installation, invoke the skill by name or use
/multi-agent-config-manager - 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
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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