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Agent Skill · 研究检索

signal-dreaming(信号梦)

signal-dreaming 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

signal-dreaming 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 23,609。

总安装 4,229周安装 178GitHub Stars 公开资料未说明下载 1,481核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.3.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:signal-dreaming(信号梦)
来源仓库:https://github.com/lzyling/signal-dreaming
安装命令:
openclaw skills install signal-dreaming
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install signal-dreaming

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

signal-dreaming 根据调用频率自动合并会话日志至长期记忆。适用于高频对话场景下的上下文持久化与知识沉淀。signal-dreaming 属于研究检索类 Skill,可作为该场景下的辅助能力补充。信号驱动整合减少重复提问,提升 Agent 连续性体验。需确认存储后端可用性,避免因资源不足导致日志截断。

建议监控内存占用,合理设置合并阈值与清理策略。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install signal-dreaming;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

signal-dreaming 怎么安装?

在终端执行 openclaw skills install signal-dreaming。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

signal-dreaming 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

signal-dreaming 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

signal-dreaming 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

signal-dreaming 用的人多吗?

公开数据是累计安装 4,229 次,近一周安装 178 次,下载 1,481 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

signal-dreaming 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
signal-dreaming

信号梦 · 本页

4,229—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
signal-dreaming
description
Signal-driven memory consolidation for OpenClaw agents. Automatically consolidates recent session logs into long-term memory using recall frequency signals from memory/.dreams/short-term-recall.json — content that has been searched more often gets prioritized. Runs in three safe phases (Sense/Consolidate/Settle) with a human-readable dream diary. Use when setting up automated memory maintenance, running a manual "dream" consolidation pass, or upgrading from date-ordered log processing to signal-aware prioritization.

Memory Dreaming

Signal-aware memory consolidation in three phases. Instead of processing logs by date order, this skill reads memory/.dreams/short-term-recall.json (maintained automatically by OpenClaw's memory-core) to find what's been most frequently recalled — then prioritizes consolidating those entries into long-term topic files.

Memory Architecture Assumed

This skill expects a two-layer memory layout:

  • Daily logs (memory/YYYY-MM-DD*.md) — raw session notes, never deleted
  • L2 topic files (memory/<topic>.md) — curated, durable knowledge on a specific subject (e.g. memory/clash-verge.md, memory/business.md). Created manually or by the dream agent when new topics emerge.
  • Index (MEMORY.md) — high-level status overview with pointers to L2 files

If you are starting fresh, create at least MEMORY.md and memory/dream-log.md before the first dream run. L2 files are created on demand.

Quick Start

Manual dream (run once)

Tell your agent:

"Run a memory dream consolidation. Follow the protocol in <SKILL_PATH>/references/dream-protocol.md. Workspace root: <YOUR_WORKSPACE_PATH>."

Or simply: *"爆爆做个梦"* / *"run a dream consolidation"* — if this skill is loaded, the agent will know what to do.

Automated daily dream (cron)

Set up an isolated agentTurn cron that runs while your human is asleep:

{
  "name": "daily-dream",
  "schedule": { "kind": "cron", "expr": "0 7 * * *", "tz": "<YOUR_TIMEZONE>" },
  "sessionTarget": "isolated",
  "payload": {
    "kind": "agentTurn",
    "timeoutSeconds": 900,
    "message": "Run a memory dream consolidation. Find and read references/dream-protocol.md inside the signal-dreaming skill (check your skillDirs; common locations: skills/signal-dreaming/ or ~/.openclaw/skills/signal-dreaming/). Workspace root: <YOUR_WORKSPACE_PATH>. End your final response with a one-line dream summary — the cron delivery mechanism will auto-announce it."
  },
  "delivery": { "mode": "announce", "channel": "<CHANNEL_TYPE>", "to": "<CHANNEL_ID>" }
}

Adjust expr and tz to match when your human sleeps.

How the Signal Works

OpenClaw's memory-core maintains memory/.dreams/short-term-recall.json automatically. Every memory_search call updates this file with:

  • recallCount — how many times a snippet was returned in results
  • totalScore — weighted composite (relevance × frequency × query diversity × recency)
  • queryHashes — distinct queries that surfaced this snippet (diversity signal)
  • recallDays — days the snippet was active

The dream protocol reads totalScore to rank candidates. Snippets with totalScore > 0.8 from multiple distinct queries are strong promotion candidates.

Three-Phase Safety Model

PhaseWritesPurpose
Sense❌ NoneRead recall signals + scan recent logs
Consolidate✅ L2 files onlyPromote high-value content to topic files
Settle✅ MEMORY.md + dream-log.mdTrim index, write diary entry

Phase 1 is always read-only. An error in Sense never corrupts files.

Quality Gates

The full protocol includes a read-only planning checkpoint before writes:

  • Topic identity guard — do not merge legacy/current projects just because names are similar; split active, legacy, and index files when durable IDs, hosts, owners, or lifecycle differ.
  • Lifecycle guard — classify candidates as active / waiting / done / archived / closed / snowed; closed or snowed work must not reappear as active TODOs unless the human reopens it.
  • Secret propagation guard — never promote API keys, tokens, passwords, private keys, signed URLs, or credential-bearing command lines from daily logs into L2, MEMORY.md, or dream-log.md.
  • Backup guard — existing L2 files are copied outside memory/ to <WORKSPACE_ROOT>/.backup/memory-dreams/YYYYMMDD-HHMM/ with a .bak suffix before modification; MEMORY.md is backed up there too before rewrite.
  • Post-write audit — check size, Markdown structure, current-vs-legacy separation, and obvious credential patterns before finalizing. Use references/dream-audit.sh for the common lightweight sanity checks; it is not full DLP.

Compatibility with OpenClaw 2026.4.15+

OpenClaw 2026.4.15 changed the built-in memory-core Dreaming default from inline to separate mode. This is a different system from this skill:

memory-core built-in Dreamingsignal-dreaming (this skill)
TriggerHeartbeat (automated)Cron agentTurn
OutputDREAMS.md / memory/dreaming/{phase}/memory/dream-log.md + L2 files
Signal sourceInternalmemory/.dreams/short-term-recall.json

These two systems are independent. You can use this skill whether or not built-in Dreaming is enabled.

If you use both:

  • Keep built-in Dreaming in separate mode (default in 2026.4.15+). This keeps memory/YYYY-MM-DD*.md clean so this skill sees only real session notes.
  • If you're on an older version with inline mode, the protocol will skip ## Light Sleep / ## REM Sleep phase blocks when scanning daily logs.

Key Rules

  • Never move or delete daily logs (memory/YYYY-MM-DD*.md) — archiving breaks memory_search indexing
  • dream-log.md is Markdown — append text directly, do not write JSON
  • Never copy secrets into curated memory — omit/redact and alert instead
  • Keep lifecycle state sticky — closed/archived/snowed lines stay non-active unless explicitly reopened
  • Back up MEMORY.md to <WORKSPACE_ROOT>/.backup/memory-dreams/YYYYMMDD-HHMM/MEMORY.md.bak before rewriting it
  • Back up touched L2 files outside memory/, with .bak suffix, before editing existing topic files
  • MEMORY.md target: ≤ 8KB

Full Protocol

See references/dream-protocol.md for the complete three-phase workflow, scoring thresholds, dream-log format, and safety mechanisms.

平台分布

OpenClaw

87.58%
按下载量换算1,297

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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