OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill afrexai-agent-memorygit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote 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/leoyeai/openclaw-master-skills/afrexai-agent-memory)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-agent-memory"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-agent-memory/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/leoyeai/openclaw-master-skills/afrexai-agent-memory"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-agent-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.04413 |
| Opus 5.5 | $0.00021 | $0.01765 |
| Sonnet 5.5 | $0.00010 | $0.00883 |
| Haiku 4.5 | $0.00005 | $0.00441 |
Grade A, and why
Agent Memory Architecture 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 2mo 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 — 581 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Memory Architecture
Complete memory system for AI agents using only files. No APIs. No databases. No external dependencies. Just smart file structures and disciplined practices that give your agent perfect recall.
1. Memory Architecture Overview
workspace/
├── MEMORY.md ← Long-term curated memory (the brain)
├── ACTIVE-CONTEXT.md ← Hot working memory (what matters NOW)
├── AGENTS.md ← Operating manual (how you work)
├── memory/
│ ├── 2026-01-15.md ← Daily notes (raw event log)
│ ├── 2026-01-16.md
│ ├── heartbeat-state.json ← Heartbeat tracking state
│ ├── topics/
│ │ ├── project-alpha.md ← Topic-specific deep context
│ │ ├── client-acme.md
│ │ └── tech-stack.md
│ └── archive/
│ ├── 2025-Q4.md ← Quarterly archive summaries
│ └── 2025-Q3.md
The 5 Memory Layers
| Layer | File | Purpose | Read Frequency | Write Frequency |
|---|---|---|---|---|
| 1. Hot | ACTIVE-CONTEXT.md | Current priorities, blockers, in-flight work | Every session | Multiple times/day |
| 2. Warm | MEMORY.md | Curated long-term knowledge, decisions, people | Every main session | Weekly curation |
| 3. Daily | memory/YYYY-MM-DD.md | Raw event log, conversations, actions taken | Today + yesterday | Throughout the day |
| 4. Topic | memory/topics/*.md | Deep context on specific subjects | When topic comes up | As knowledge grows |
| 5. Cold | memory/archive/*.md | Historical summaries, rarely accessed | On explicit search | Quarterly rollup |
Core Principle: Write It Down
Memory is limited. Files are permanent.
- "Mental notes" don't survive session restarts. Files do.
- If someone says "remember this" → write to a file
- If you learn a lesson → update the relevant file
- If you make a mistake → document it so future-you doesn't repeat it
- Text > Brain 📝
2. Layer 1: Hot Memory (ACTIVE-CONTEXT.md)
Your working scratchpad. What's happening RIGHT NOW.
What ships with it
2 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.
- 2mo ago First seen · 581 lines · 52 tokens per session scan A a9f4b0a2ecba
Agent Memory Architecture is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,168 stars, last pushed 6d ago), licensed MIT. It adds 52 tokens to every session and 4,413 once invoked, about $0.0002 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 2026-09-03.
Agent Memory Architecture compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Agent Memory ArchitectureLeoYeAI/openclaw-master-skills | Skill | 2.2k | 6d ago | MIT | A | 52 | Claude Code, Codex |
| context-degradationagent-skills-hub/agent-skills-hub | Skill | 128 | 1mo ago | MIT | A | 21 | Claude Code, Codex |
| context-compressionagent-skills-hub/agent-skills-hub | Skill | 128 | 1mo ago | MIT | A | 13 | Claude Code, Codex |
| context-optimizationagent-skills-hub/agent-skills-hub | Skill | 128 | 1mo ago | MIT | A | 13 | Claude Code, Codex |
| gossipcatgossipcat-ai/gossipcat-ai | Skill | 41 | 24d ago | MIT | A | 50 | Claude Code, Codex |
| cortex-mem-mcpsopaco/cortex-mem | Skill | 317 | 3mo ago | MIT | A | 72 | Claude Code |
| openclaw-memory-docsdavidtoby/agent-skills | Skill | 11 | yesterday | MIT | A | 27 | Claude Code, Codex |