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在 OpenClaw 中安装
/install viking-memory-ultra
功能描述
Viking Memory System Ultra - 分层记忆基座。特性:动态回流(语义晋升)、智能权重(对数增长)、可逆归档(多粒度摘要)。核心脚本:sv_write, sv_read, sv_find, sv_autoload, sv_promote, sv_weight, sv_compress。
安全使用建议
This skill appears to implement a local layered-memory system, but proceed carefully. Key points to check before installing or enabling: 1) Source verification: the registry Owner ID shown in metadata does not match the _meta.json ownerId—ask the publisher to explain and provide a verified source or homepage. 2) Missing scripts: SKILL.md references many shell scripts but none are bundled or installed—ask for an install guide or the actual script sources; do not let untrusted scripts be fetched automatically. 3) Shared sync risk: 'sv_write_v2 --hot' is documented to copy 'important' memories to viking-global/shared/...; understand who has access to that shared location and whether that will leak private data. 4) Run first in an isolated/test agent or sandbox and audit the actual scripts and any cron/scheduling changes. 5) If you must use it in production, require explicit configuration for the shared endpoint and permissions, add logging/approval for sync operations, and ensure backups and access controls are in place. If the publisher cannot clarify the owner mismatch and supply the missing script sources or an install procedure, treat the skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: viking-memory-ultra
Version: 1.4.0
The bundle describes a sophisticated hierarchical memory management system ('Viking Memory System Ultra') for AI agents, featuring tiered storage (hot/warm/cold/archive) and automated maintenance. The SKILL.md file provides detailed instructions for file organization, metadata management, and memory promotion logic using various sv_*.sh scripts. No evidence of malicious intent, data exfiltration, or unauthorized execution was found; the system's capabilities are consistent with its stated purpose of enhancing agent memory retrieval and retention.
能力评估
Purpose & Capability
The skill's purpose (local layered memory manager) matches the instructions that manipulate files under agent/memories/. However the SKILL.md repeatedly references many 'core scripts' (sv_write, sv_read, sv_promote, sv_compress_v2.sh, sv_archive_summary.sh, sv_decompress.sh, sv_review, sv_list, etc.) but the package contains no binaries or install spec. That mismatch (claims scripts but provides nothing and requests no dependencies) is an incoherence: either the runtime environment must already provide these tools, or the skill is incomplete.
Instruction Scope
Instructions tell agents to read, write, compress, promote and scan cold/archive layers for semantic similarity and to sync 'important' memories to viking-global/shared/memory/hot/. All of this stays within the stated memory-management domain, but the 'sync to shared space' step implies sharing potentially sensitive agent data with other agents or a shared location. SKILL.md does not define the shared endpoint, access controls, or required credentials, so the data-exposure behavior is underspecified and potentially risky.
Install Mechanism
No install spec is provided (instruction-only), which is lower risk in terms of arbitrary code downloads. However, because the skill expects numerous shell scripts and scheduled operations, the absence of install instructions or bundled code creates an operational gap and potential for error or misconfiguration if those scripts are missing or come from an untrusted source.
Credentials
The skill declares no required environment variables or credentials, which is good for limiting secret exposure. Yet it instructs syncing to a shared global path (viking-global/shared/...), scanning archives, and possibly interacting with other agent skills (daily-digest). Those actions often require filesystem permissions, mounts, or network/configured shared storage—none of which are documented or requested. The lack of declared credentials or config for shared storage is suspiciously under-specified.
Persistence & Privilege
always:false and normal autonomous invocation are used. The skill does not request permanent platform-wide presence and does not instruct modifying other skills or system-wide agent configs. Scheduling (weekly compression at 2:00) is documented but there is no instruction to programmatically modify cron or system scheduler in the SKILL.md.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install viking-memory-ultra - 安装完成后,直接呼叫该 Skill 的名称或使用
/viking-memory-ultra触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.4.0
Claude Code架构学习后优化:完善记忆晋升机制、增强压缩算法
v1.3.1
v1.3.1 - Ultra Release: Phase 1-3 complete
v1.3.0
v1.3.0 - Viking Memory System Ultra
元数据
常见问题
Viking Memory System Ultra 是什么?
Viking Memory System Ultra - 分层记忆基座。特性:动态回流(语义晋升)、智能权重(对数增长)、可逆归档(多粒度摘要)。核心脚本:sv_write, sv_read, sv_find, sv_autoload, sv_promote, sv_weight, sv_compress。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 130 次。
如何安装 Viking Memory System Ultra?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install viking-memory-ultra」即可一键安装,无需额外配置。
Viking Memory System Ultra 是免费的吗?
是的,Viking Memory System Ultra 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Viking Memory System Ultra 支持哪些平台?
Viking Memory System Ultra 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Viking Memory System Ultra?
由 tsangho(@tsangho)开发并维护,当前版本 v1.4.0。
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