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.
npx skills add robinslange/learning-loop --skill dreamgit clone --depth 1 https://github.com/robinslange/learning-loopWrote 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.
[](https://agentmods.dev/skills/robinslange/learning-loop/dream)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.jswhen 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:
/dreamruns 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
-
Detect the project memory directory:
- Use
$CLAUDE_PROJECT_DIRif available, else use the auto-memory directory for the current project - Verify the directory exists and contains MEMORY.md
- Use
-
Read all
.mdfiles (excluding MEMORY.md, _dream_log.md, _archived/). -
Parse YAML frontmatter:
name,description,type,confidence. -
Build inventory: total count, count by type, sorted by modification date, line count per file.
-
Read MEMORY.md. Check links resolve to actual files. Flag orphaned pointers.
-
Report:
Dreaming: [project name] Memory files: N (N feedback, N project, N user, N reference) Index entries: N (N orphaned)
Phase 2: Gather Signal
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.
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.
- 1mo ago Changed 66c8c3473201
- 1mo ago Changed · +3 lines e87636594d26
- 1mo ago Changed · +8 lines 7cb349de5fe9
- 1mo ago Changed · -1 lines 5c5fb11ab6b4
- 1mo ago Changed · +1 lines aa1c77b79488
- 2mo ago First seen · 144 lines · 66 tokens per session scan A f1d20ab784e8
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.
dream compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dreamrobinslange/learning-loop | Skill | 13 | 4d ago | Apache-2.0 | A | 66 | Claude Code |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |