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Respond First

作者 CLOUD BOY · GitHub ↗ · v11.0.0
cross-platform ✓ 安全检测通过
1150
总下载
2
收藏
3
当前安装
6
版本数
在 OpenClaw 中安装
/install respond-first
功能描述
Multi-agent dispatcher skill. Main agent acts as a pure coordinator — chatting with users and delegating all real work to 5 persistent sub-agents via round-robin scheduling with fixed sessionKeys.
安全使用建议
This skill appears to do what it says (coordinate and delegate). Before installing or using it: 1) Treat the sub-agents as separate recipients — any user content you put into tasks will be forwarded to those sub-agents and may be retained by them. Avoid sending sensitive secrets or private data unless you confirm how session memory is handled. 2) Ask the platform or skill proprietor whether the persistent sessionKeys retain conversation history across tasks and whether you can clear or isolate that memory. 3) Test with non-sensitive inputs to observe behavior (who gets spawned, what the spawn payload looks like in logs). 4) Confirm platform audit/logging and revocation procedures in case you need to stop sub-agents or delete retained data. If you require strict data isolation or must not forward user context to other agents, do not use this skill.
功能分析
Type: OpenClaw Skill Name: respond-first Version: 11.0.0 The skill is designed as a multi-agent dispatcher, explicitly prohibiting the main agent from using `exec`, file read/write, search, or any execution tools. Its sole function is to delegate tasks to pre-defined sub-agents via `sessions_spawn` with strict parameters. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the main agent within the provided `SKILL.md` instructions or other metadata files. The instructions clearly define a constrained, coordinating role for the agent.
能力评估
Purpose & Capability
Name/description, declared requirements, and instructions align: it's an instruction-only dispatcher that relies on platform session spawning. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
SKILL.md strictly limits the main agent to chat-and-delegate behavior (no exec, file I/O, search) and defines the exact spawn payload. This is coherent, but the instructions require the main agent to put a 'self-contained' task (including all necessary context) into every spawn call — meaning user messages and context will be forwarded to sub-agents. The skill also uses permanent sessionKeys (persistent sub-agents) but does not provide guidance about memory clearing or data isolation between tasks; that creates a privacy/data-retention consideration.
Install Mechanism
No install spec and no code files — lowest-risk delivery model (instruction-only). Nothing is written to disk by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths — proportional to an instruction-only dispatcher. Note: sensitive user data is still forwarded in spawn tasks (by design), so privacy—not credential—risk is the main concern.
Persistence & Privilege
always:false (no forced permanent inclusion). However, the design depends on five 'persistent' sub-agents identified by fixed sessionKeys; persistent agents may retain state between tasks beyond what the skill describes. Combined with normal autonomous invocation behavior of the platform, persistence increases the blast radius for any retained data or misbehavior by a sub-agent, though the skill itself does not request elevated platform privileges.
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 respond-first
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /respond-first 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
v11.0.0
Rewritten as generic multi-agent dispatcher: 5 persistent sub-agents (alpha/bravo/charlie/delta/echo), round-robin scheduling, speak-first protocol. No theme — pure coordination framework.
v2.3.0
v2.3.0: All content translated to English for international use. Added explicit 'answer questions first, then mention task' protocol with correct/wrong examples.
v2.0.1
v2.0.1: Fixed CLI command — use 'openclaw message send' instead of 'clawdbot message send'. Verified bypass works with Discord.
v2.0.0
v2.0.0: BREAKING - Added CLI bypass mechanism. Agent now sends immediate acknowledgment to Discord via 'clawdbot message send' BEFORE executing tool calls, solving the blockStreaming delay problem. Previous versions relied on turn text response which only delivered after all tool calls completed.
v1.1.0
v1.1.0: Added async sub-agent delegation — chat and work are now separated. Heavy tasks go to sub-agents, main thread stays responsive. Auto-callback when sub-agents complete.
v1.0.0
Initial release: always-on communication protocol to prevent AI agents from going dark during tool calls
元数据
Slug respond-first
版本 11.0.0
许可证
累计安装 3
当前安装数 3
历史版本数 6
常见问题

Respond First 是什么?

Multi-agent dispatcher skill. Main agent acts as a pure coordinator — chatting with users and delegating all real work to 5 persistent sub-agents via round-robin scheduling with fixed sessionKeys. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1150 次。

如何安装 Respond First?

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

Respond First 是免费的吗?

是的,Respond First 完全免费(开源免费),可自由下载、安装和使用。

Respond First 支持哪些平台?

Respond First 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 Respond First?

由 CLOUD BOY(@be1human)开发并维护,当前版本 v11.0.0。

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