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Recursive Swarm
作者
Pedro Gonzalez
· GitHub ↗
· v0.1.1
277
总下载
0
收藏
2
当前安装
2
版本数
在 OpenClaw 中安装
/install recursive-swarm
功能描述
Bounded recursive orchestration for complex tasks that are too large for one agent turn but cleanly decompose into a few independent subproblems. Use for mul...
安全使用建议
This skill appears to do exactly what it says: local, bounded orchestration stored in a run folder. Before using it: (1) run the scripts in a dedicated directory (do not point runs-dir at system or sensitive folders); (2) review the Python files (they only read/write tree.json, events.jsonl, and node files) to confirm they meet your policy; (3) be cautious when creating 'ops' or 'browser' nodes or configuring executors that allow subagents/direct tools — those child executors (not these scripts) could perform network or shell actions if the agent has such tools enabled; (4) no secrets are requested by this skill, so do not supply credentials into the run directory or node artifacts. If you need higher assurance, test with a small harmless run first and inspect events.jsonl and nodes/* after execution.
功能分析
Type: OpenClaw Skill
Name: recursive-swarm
Version: 0.1.1
The recursive-swarm skill bundle provides a structured framework for an AI agent to decompose complex tasks into a managed tree of sub-tasks. The included Python scripts (e.g., init_run.py, upsert_node.py, mark_node.py) are standard utilities for managing task state, audit logs (events.jsonl), and result aggregation within a local directory. The instructions in SKILL.md and quiet-mode.md include explicit security safeguards, such as requiring user approval for destructive actions and ensuring that 'quiet' execution modes do not suppress error or block notifications. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
The name/description describe bounded recursive orchestration and the package contains scripts (init_run, upsert_node, mark_node, list_ready_nodes, merge_results, etc.) and schema files that directly implement that functionality. There are no unrelated env variables, binaries, or install steps requested.
Instruction Scope
SKILL.md and the scripts confine behavior to creating and manipulating a run folder (tree.json, events.jsonl, nodes/*). The guidance references using 'subagents', 'ACP', or 'direct tools' for actual leaf execution; those are runtime choices outside these scripts and could enable external actions if the agent has such tools. The scripts themselves do not perform network I/O or read arbitrary system config; they only read/write files under the chosen run directory.
Install Mechanism
No install spec is provided (instruction-only skill). Code is shipped as plain Python scripts; nothing is downloaded or extracted from untrusted URLs. Users must run the included Python scripts locally, which is low-risk if run in an appropriate directory.
Credentials
The skill requires no environment variables, no credentials, and no config paths. The scripts operate on user-supplied run directories only. There are no requests for tokens, secrets, or unrelated cloud credentials.
Persistence & Privilege
always is false and the skill does not request persistent platform privileges. It writes only into the run directory chosen by the user and does not modify other skills or system-wide agent settings.
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 recursive-swarm - 安装完成后，直接呼叫该 Skill 的名称或使用
/recursive-swarm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
v0.1.1
Add quiet child execution guidance: routine child runs preserve results in session/artifacts, use ANNOUNCE_SKIP for routine announce steps, and let the parent deliver one final merged answer.
v0.1.0
Initial release: bounded recursive orchestration skill with artifact-backed task trees, events.jsonl audit trail, helper scripts, and conservative defaults.
元数据
常见问题
Recursive Swarm 是什么？
Bounded recursive orchestration for complex tasks that are too large for one agent turn but cleanly decompose into a few independent subproblems. Use for mul... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 277 次。
如何安装 Recursive Swarm？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install recursive-swarm」即可一键安装，无需额外配置。
Recursive Swarm 是免费的吗？
是的，Recursive Swarm 完全免费（开源免费），可自由下载、安装和使用。
Recursive Swarm 支持哪些平台？
Recursive Swarm 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 Recursive Swarm？
由 Pedro Gonzalez（@plgonzalezrx8）开发并维护，当前版本 v0.1.1。
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