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signal-dreaming信号梦

Agent Skill

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。

总安装

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周安装

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下载量

1,481
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算1,297

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安装前确认

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