dream

dream is a skill for Claude Code from robinslange/learning-loop. It costs 66 tokens per session (2,450 once invoked), scanned A, original, Apache-2.0.

A session-memory maintenance skill that reviews notes saved between coding sessions and rebuilds MEMORY.md, the main memory index. It merges duplicates, resolves conflicts, creates summaries, removes stale entries, and links related notes.

In plain words
What is it for?
Run it to consolidate auto-memory after many notes or a heavy work session, normalize dates, connect related information, and prune obsolete entries.
Why use it?
Long-lived agent memory can become duplicated, contradictory, or cluttered. This process keeps the stored project context more organized over time.

Skill for Claude Code

Written for Claude Code: $CLAUDE_PROJECT_DIR variable.

Part of the learning-loop plugin — 24 skills, 20 agents, 7 hooks shipped together

Good fit Run it to consolidate auto-memory after many notes or a heavy work session, normalize dates, connect related information, and prune obsolete entries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/robinslange/learning-loop/dream
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add robinslange/learning-loop --skill dream
Clone the repo
git clone --depth 1 https://github.com/robinslange/learning-loop

Made for: Claude Code.

Or install learning-loop, the plugin that ships this one along with the rest of its 24 skills, 20 agents, 7 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dream

README.md
[![agentmods](https://agentmods.dev/badge/skills/robinslange/learning-loop/dream/github.svg)](https://agentmods.dev/skills/robinslange/learning-loop/dream)
Your own site
<a href="https://agentmods.dev/skills/robinslange/learning-loop/dream"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/dream/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dream

Your own site · 80×15
<a href="https://agentmods.dev/skills/robinslange/learning-loop/dream"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/dream.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,450 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.02450
Opus 5.5 $0.00026 $0.00980
Sonnet 5.5 $0.00013 $0.00490
Haiku 4.5 $0.00007 $0.00245

Measured 1mo ago against content hash 66c8c3473201, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dream scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/dream/SKILL.md · 155 lines

How it starts

The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dream: Auto-Memory Consolidation

Seven operators, each defined in operators/. This file orchestrates the four-phase cycle. Read operator files only when executing Phase 3.

When to Use

  • SessionStart hook nudges via hooks/lib/dream-gate.js when 24+ hours have passed since the last dream AND 5+ memory files have been modified since then. Nudge only — never auto-runs.
  • Stop hook nudges after heavy sessions (3+ new memory files in current session).
  • Manual: /dream runs immediately, ignores gates.

Provenance

Emit events silently via Bash for each operator action.

ll-run provenance-emit.js '{"agent":"dream","skill":"dream","action":"ACTION","target":"FILENAME"}'

Where ACTION is one of: merge, resolve, abstract, compress, prune, link, normalize.

At start: {"action":"session-start"}. At end, alongside the operator counters, include the common outcome shape: items_in (memory files considered), items_out (sum of the operator counters), items_flagged (0, dream has no flagging concept), duration_ms: {"action":"session-end","merged":N,"resolved":N,"abstracted":N,"compressed":N,"pruned":N,"linked":N,"normalized":N,"items_in":N,"items_out":N,"items_flagged":0,"duration_ms":N} + run ll-run provenance-consolidate.mjs.

Phase 1: Orient

  1. Detect the project memory directory:

    • Use $CLAUDE_PROJECT_DIR if available, else use the auto-memory directory for the current project
    • Verify the directory exists and contains MEMORY.md
  2. Read all .md files (excluding MEMORY.md, _dream_log.md, _archived/).

  3. Parse YAML frontmatter: name, description, type, confidence.

  4. Build inventory: total count, count by type, sorted by modification date, line count per file.

  5. Read MEMORY.md. Check links resolve to actual files. Flag orphaned pointers.

  6. Report:

    Dreaming: [project name]
    Memory files: N (N feedback, N project, N user, N reference)
    Index entries: N (N orphaned)
    

Phase 2: Gather Signal

Read the full file on GitHub · 155 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed 66c8c3473201
  2. 1mo ago Changed · +3 lines e87636594d26
  3. 1mo ago Changed · +8 lines 7cb349de5fe9
  4. 1mo ago Changed · -1 lines 5c5fb11ab6b4
  5. 1mo ago Changed · +1 lines aa1c77b79488
  6. 2mo ago First seen · 144 lines · 66 tokens per session scan A f1d20ab784e8

Subscribe to this mod's changes

dream is a skill published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 66 tokens to every session and 2,450 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

dream compared with skills from other repositories

dream next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
dreamrobinslange/learning-loopSkill134d agoApache-2.0A66Claude Code
knowledge-ingestopenclaw/openclawSkill394kyesterdayMITA80Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0Skill68k2d agoApache-2.0A217Claude Code, Codex
forgetasgeirtj/system_prompts_leaksSkill71k2d agoCC0-1.0A74Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
memoryopensquilla/opensquillaSkill7.1k6d agoApache-2.0A44Claude Code, Codex
ha-data-storesshiwenwen/hope-agentSkill1.9kyesterdayMITA115Claude Code, Codex