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 OPPO-Mente-Lab/X-OmniClaw --skill memory-evolutiongit clone --depth 1 https://github.com/OPPO-Mente-Lab/X-OmniClawWrote 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/oppo-mente-lab/x-omniclaw/memory-evolution)<a href="https://agentmods.dev/skills/oppo-mente-lab/x-omniclaw/memory-evolution"><img src="https://agentmods.dev/badge/skills/oppo-mente-lab/x-omniclaw/memory-evolution.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00538 |
| Opus 5 | $0.00015 | $0.00269 |
| Sonnet 5 | $0.00006 | $0.00108 |
| Haiku 4.5 | $0.00003 | $0.00054 |
Grade A, and why
memory-evolution 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 8d 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.
What it actually says
Memory Evolution
Use this skill when the user asks to:
- update global memory
- evolve task memory
- summarize task experience into the user profile
- inspect memory evolution status
- configure or verify the daily memory update mechanism
This skill maintains task-derived memories. Gallery-derived memories are maintained by gallery-memory.
Memory Files
MEMORY.md: task memory from X-OmniClaw usage, including habits, reusable workflows, failures, and project context.memory/IMAGE-MEMORY.md: gallery memory from photos and screenshots.memory/USER-PROFILE.md: compact user profile loaded by default. It should be rebuilt from bothMEMORY.mdandIMAGE-MEMORY.md.
Preferred Tool
memory_evolution
Use memory_evolution as the direct tool for this workflow.
Supported actions:
run: process pending task memory events, updateMEMORY.md, and rebuildmemory/USER-PROFILE.mdstatus: inspect the latest evolution run status and pending event count
Recommended Calls
Run evolution
{
"action": "run"
}
Check status
{
"action": "status"
}
Daily Update Pattern
The app owns a managed scheduled task named 全局记忆进化.
Its instruction should be equivalent to:
使用 memory_evolution 工具执行全局记忆进化:处理待沉淀的 X-OmniClaw 任务记忆,更新 MEMORY.md,并重建 USER-PROFILE.md。
Best Practices
- Do not update
MEMORY.mddirectly during every normal task. Normal tasks should only append pending events. - Keep
USER-PROFILE.mdcompact because it is loaded by default for all tasks. - Put reusable task lessons and workflows in
MEMORY.md; put only distilled user habits and key preferences inUSER-PROFILE.md. - Do not duplicate gallery details in
USER-PROFILE.md; summarize preferences, recent activity, and stable interests fromIMAGE-MEMORY.md.
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.
- 8d ago First seen · 77 lines · 29 tokens per session scan A a3d332d21635
memory-evolution is a skill published in the GitHub repository OPPO-Mente-Lab/X-OmniClaw (260 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 538 once invoked, about $0.0001 per session on Opus 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.
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