memory-evolution

memory-evolution is a skill for Claude Code, Codex from OPPO-Mente-Lab/X-OmniClaw. It costs 29 tokens per session (538 once invoked), scanned A, original, Apache-2.0.

A guide for processing saved task memories and rebuilding a compact user profile. It works with memory files that store reusable information from previous work.

In plain words
What is it for?
Use it to run memory updates, inspect pending memory events, update MEMORY.md, and rebuild memory/USER-PROFILE.md.
Why use it?
It keeps long-term task knowledge organised and makes the user profile reflect the latest stored memories.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to run memory updates, inspect pending memory events, update MEMORY.md, and rebuild memory/USER-PROFILE.md.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oppo-mente-lab/x-omniclaw/memory-evolution
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 OPPO-Mente-Lab/X-OmniClaw --skill memory-evolution
Clone the repo
git clone --depth 1 https://github.com/OPPO-Mente-Lab/X-OmniClaw

Made for: Claude Code, Codex.

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 memory-evolution

README.md
[![agentmods](https://agentmods.dev/badge/skills/oppo-mente-lab/x-omniclaw/memory-evolution.svg)](https://agentmods.dev/skills/oppo-mente-lab/x-omniclaw/memory-evolution)
Your own site
<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>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 538 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 $0.00029 $0.00538
Opus 5 $0.00015 $0.00269
Sonnet 5 $0.00006 $0.00108
Haiku 4.5 $0.00003 $0.00054

Measured 8d ago against content hash a3d332d21635, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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.

app/src/main/assets/skills/memory-evolution/SKILL.md · 77 lines

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 both MEMORY.md and IMAGE-MEMORY.md.

Preferred Tool

memory_evolution

Use memory_evolution as the direct tool for this workflow.

Supported actions:

  • run: process pending task memory events, update MEMORY.md, and rebuild memory/USER-PROFILE.md
  • status: inspect the latest evolution run status and pending event count

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

  1. Do not update MEMORY.md directly during every normal task. Normal tasks should only append pending events.
  2. Keep USER-PROFILE.md compact because it is loaded by default for all tasks.
  3. Put reusable task lessons and workflows in MEMORY.md; put only distilled user habits and key preferences in USER-PROFILE.md.
  4. Do not duplicate gallery details in USER-PROFILE.md; summarize preferences, recent activity, and stable interests from IMAGE-MEMORY.md.
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. 8d ago First seen · 77 lines · 29 tokens per session scan A a3d332d21635

Subscribe to this mod's changes

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.

Related

Other skills, from other repositories

memory-poisoning-detection

Detect persistent instruction injection or long-term memory poisoning. Focus on writing/retaining hostile instructions for future tasks, not data leakage.

Tencent/AI-Infra-Guard · 33 tokens

browserwing-executor

Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.

MemTensor/MemOS · 42 tokens

dev-browser

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website"…

MemTensor/MemOS · 84 tokens

harness-creator

Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is…

walkinglabs/learn-harness-engineering · 142 tokens

ask-user-question

Ask users questions via the UI. Use when you need clarification, user preferences, or confirmation before proceeding. The user CANNOT see CLI output - this tool is the ONLY way to communicate with them.

MemTensor/MemOS · 44 tokens

memos-memory-guide

Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query…

MemTensor/MemOS · 131 tokens