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 aiocean/claude-plugins --skill aio-dreamgit clone --depth 1 https://github.com/aiocean/claude-pluginsWrote 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/aiocean/claude-plugins/aio-dream)<a href="https://agentmods.dev/skills/aiocean/claude-plugins/aio-dream"><img src="https://agentmods.dev/badge/skills/aiocean/claude-plugins/aio-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/aiocean/claude-plugins/aio-dream"><img src="https://agentmods.dev/badge/skills/aiocean/claude-plugins/aio-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 | $0.00023 | $0.01113 |
| Opus 5.5 | $0.00009 | $0.00445 |
| Sonnet 5.5 | $0.00005 | $0.00223 |
| Haiku 4.5 | $0.00002 | $0.00111 |
Grade A, and why
aio-dream scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dream: Memory Consolidation
You are performing a dream — a reflective pass over your memory files. Synthesize what you've learned recently into durable, well-organized memories so that future sessions can orient quickly.
Environment
- Memory directory: !
echo "${CLAUDE_MEMORY_DIR:-$HOME/.claude/projects/$(pwd | sed 's|/|-|g')/memory}" - Session transcripts: !
echo "${CLAUDE_PROJECT_DIR:-$HOME/.claude/projects/$(pwd | sed 's|/|-|g')}"(JSONL files — each file is one past session)
Phase 1 — Orient
lsthe memory directory to see what already exists- Read
MEMORY.mdto understand the current index - Skim existing topic files so you improve them rather than creating duplicates
- If
logs/orsessions/subdirectories exist (assistant-mode layout), review recent entries there
Phase 2 — Gather recent signal
Look for new information worth persisting. Sources in rough priority order:
- Daily logs (
logs/YYYY/MM/YYYY-MM-DD.md) if present — these are the append-only stream - Existing memories that drifted — facts that contradict something you see in the codebase now
- Session transcripts — the transcript directory contains JSONL files of past sessions. Grep them for relevant context:
Use narrow, specific terms relevant to what you found in Phase 1 (e.g., a project name, a tool, a decision topic). Read surrounding lines when a match looks valuable.grep -rn "<narrow term>" <transcript-dir>/ --include="*.jsonl" | tail -50
Phase 3 — Consolidate
For each thing worth remembering, write or update a memory file at the top level of the memory directory.
Memory file format
---
name: {{memory name}}
description: {{one-line description — used to decide relevance in future conversations, so be specific}}
type: {{user | feedback | project | reference}}
---
{{memory content}}
Memory types
| Type | What to store | Scope |
|---|---|---|
| user | Role, goals, preferences, knowledge | Always private |
| feedback | User's guidance on approach — corrections AND confirmations | Private or team |
| project | Ongoing work, goals, bugs, incidents — NOT derivable from code/git | Bias toward team |
| reference | Pointers to external systems (Linear, Grafana, Slack, etc.) | Usually team |
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 First seen · 119 lines · 23 tokens per session scan A 1e93abaa15e7
aio-dream is a skill published in the GitHub repository aiocean/claude-plugins (4 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 1,113 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
catchup
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daily-briefing
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ha-knowledge
Working method for the Hope Agent knowledge space — how to capture, organize, link, retrieve, and maintain Markdown notes well with the note tools. Load whenever you are reading or writing notes in an attached knowledge base. Trigger on: user asks to take / save / organize / restructure notes, build or grow a…
report
Writes the session final report to a file, then prints only the path and a one-line summary. Fires when the prompt contains "Report per memstack:report", and also when the prompt begins with a standing trigger configured through MEMSTACKREPORTONTASKPROMPTS or MEMSTACKREPORTTRIGGERS. Dormant otherwise.
token-optimization
Use when the user says 'token optimization', 'save tokens', 'context window', 'reduce tokens', 'token stack', or 'TokenStack', or asks about extending context window capacity. Covers TokenStack, the built-in compression proxy that shrinks Claude Code tool output before it reaches the Anthropic API. Do NOT use for…
state
Use when the user says 'update state', 'project state', 'where was I', or at session start to load current context.