lumina: Skill for Claude Code

.agents/skills/lumina_conversation/SKILL.md

lumina_conversation is a skill for Claude Code, Codex from zwl467135974/lumina. It costs 43 tokens per session (1,322 once invoked), scanned A, original, Apache-2.0.

A guide for managing Agent conversations, stored memory, and streaming replies in the Lumina framework. It explains how conversations are identified, how messages are stored, and how recent context is loaded.

In plain words
What is it for?
Use it when building or debugging conversation IDs, message persistence, Redis-based recent memory, database history, or streamed agent responses.
Why use it?
It helps keep multi-turn conversations consistent and makes messages available for quick use, history, and review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is zwl467135974/lumina's own configuration. It tells Claude Code and Codex how to work on lumina itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything lumina configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zwl467135974/lumina. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zwl467135974/lumina/master/.agents/skills/lumina_conversation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zwl467135974/lumina

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 lumina_conversation

README.md
[![agentmods](https://agentmods.dev/badge/skills/zwl467135974/lumina/lumina_conversation/github.svg)](https://agentmods.dev/skills/zwl467135974/lumina/lumina_conversation)
Your own site
<a href="https://agentmods.dev/skills/zwl467135974/lumina/lumina_conversation"><img src="https://agentmods.dev/badge/skills/zwl467135974/lumina/lumina_conversation/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.

agentmods 80×15 button for lumina_conversation

Your own site · 80×15
<a href="https://agentmods.dev/skills/zwl467135974/lumina/lumina_conversation"><img src="https://agentmods.dev/badge/skills/zwl467135974/lumina/lumina_conversation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,322 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00043 $0.01322
Opus 5.5 $0.00017 $0.00529
Sonnet 5.5 $0.00009 $0.00264
Haiku 4.5 $0.00004 $0.00132

Measured 2mo ago against content hash 1490b0a13762, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lumina_conversation 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.

.agents/skills/lumina_conversation/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lumina 会话与记忆管理规范

功能概述

本技能包用于规范 Lumina 框架的 Agent 多轮对话、会话记忆管理和流式输出,涵盖 conversationId 生命周期、MemoryManager 双轨记忆(Redis 热记忆 + DB 冷存储)、executeStream 上下文加载机制。

会话模型

数据结构

表 说明 迁移版本
lumina_conversation 会话主表(UUID、标题、Agent 关联) Flyway V3
lumina_message 消息记录(角色、内容、会话关联) Flyway V3

conversationId 生命周期

  1. 创建:调用 POST /api/v1/conversations,生成 UUID 作为 conversationId
  2. 多轮交互:每次 Agent 执行传入 conversationId,历史消息自动加载为上下文
  3. 持久化:所有 user/assistant 消息持久化到 lumina_message 表
  4. 回放:通过 conversationId 查询历史消息,支持前端会话列表和历史回放

双轨记忆机制

Redis 热记忆(MemoryManager)

@Autowired
private MemoryManager memoryManager;

// 加载上下文(从 Redis 热记忆)
List<Msg> context = memoryManager.loadMessages(conversationId);

// 保存消息(写入 Redis 热记忆)
memoryManager.saveMessage(conversationId, Msg.user(task));
memoryManager.saveMessage(conversationId, Msg.assistant(response));
属性 值
存储 Redis
上下文窗口 CONTEXT_WINDOW = 20 条最近消息
特性 低延迟读取,自动滑动窗口裁剪
用途 Agent 执行时快速加载对话上下文

DB 冷存储

属性 值
存储 MySQL lumina_message 表
特性 永久持久化,全量消息记录
用途 历史回放、审计、分析

双轨同步

  • 消息同时写入 Redis(热)和 DB(冷)
  • Redis 超过窗口自动裁剪(仅保留最近 20 条)
  • DB 始终保留全量消息
  • Redis 数据丢失时,可从 DB 重建热记忆

引擎接入

方法签名

// 异步执行
Result<AgentResponse> execute(AgentExecutionRequest request);

// 同步执行
Result<AgentResponse> executeSync(AgentExecutionRequest request);

// 流式执行
SseEmitter executeStream(AgentExecutionRequest request);

AgentExecutionRequest 包含 conversationId 字段,用于关联会话上下文。

上下文加载流程

1. 接收 conversationId
2. buildContextMessages(conversationId)
   → 从 MemoryManager 加载历史消息(Redis 热记忆,最多 20 条)
   → 映射为 Msg 列表(MsgRole 映射:USER → user, ASSISTANT → assistant, SYSTEM → system)
3. 将当前用户输入追加到 Msg 列表
4. 执行 Agent(传入完整 Msg 列表)
5. 执行完成后,保存 user 消息和 assistant 响应到双轨记忆

MsgRole 映射

数据库角色 AgentScope MsgRole 说明
USER MsgRole.USER 用户消息
ASSISTANT MsgRole.ASSISTANT Agent 响应
SYSTEM MsgRole.SYSTEM 系统提示词

Read the full file on GitHub · 142 lines

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. 2mo ago First seen · 142 lines · 43 tokens per session scan A 1490b0a13762

Subscribe to this mod's changes

lumina_conversation is a skill published in the GitHub repository zwl467135974/lumina (91 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,322 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 2026-08-30.

Related

lumina_conversation compared with skills from other repositories

lumina_conversation next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
lumina_conversationzwl467135974/luminaSkill911mo agoApache-2.0A43Claude Code, Codex
knowledge-ingestopenclaw/openclawSkill394kyesterdayMITA80Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0Skill68k2d agoApache-2.0A217Claude Code, Codex
forgetasgeirtj/system_prompts_leaksSkill71k2d agoCC0-1.0A74Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
memoryopensquilla/opensquillaSkill7.1k6d agoApache-2.0A44Claude Code, Codex
ha-data-storesshiwenwen/hope-agentSkill1.9kyesterdayMITA115Claude Code, Codex