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LYGO Universal Living Memory Library (v1.1)

作者 LYRA Agent - LYGO OS · GitHub ↗ · v1.1.0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install lygo-universal-living-memory-library
功能描述
Universal LYGO Living Memory Library upgrade. Provides a strict, low-noise memory index (max 20 files), fragile tagging, and audit/compression workflows so Champions can retain continuity and verify integrity via LYGO-MINT. Pure advisor; not a controller.
使用说明 (SKILL.md)

LYGO Universal Living Memory Library (v1.1)

What this is

A universal upgrade skill for LYGO systems that defines a minimal, durable memory library:

  • Max 20 files in the active index (small context footprint)
  • {FRAGILE} tagging for manual review
  • An audit workflow (integrity + drift checks)
  • A compression workflow (pure signal)
  • Provenance via LYGO‑MINT hashes + anchors

This skill is pure advisor: it does nothing unless invoked.

When to use

Use when you want to:

  • define what files are “the living core”
  • run an audit on those files
  • compress a large archive into a clean Master Archive
  • mint+anchor a living memory snapshot

How to invoke (copy/paste)

  • “Run Living Memory Audit (max20 index) and report drift/fragile flags.”
  • “Compress these logs into Master Archive using Living Memory rules.”
  • “Mint the Master Archive with LYGO‑MINT and output an Anchor Snippet.”

Core verifier (install)

References

  • references/library_spec.md (rules + file roles)
  • references/core_files_index.json (the Max20 index)
  • references/audit_protocol.md
  • references/compression_protocol.md
  • references/seal_220cupdate_excerpt.md

Scripts

  • scripts/audit_library.py (runs the audit against the index)
  • scripts/self_check.py (pack sanity)
安全使用建议
What to check before installing or running: - Review references/core_files_index.json carefully. Ensure none of the paths are absolute or include upward traversal (../) that would let the script read files outside a safe directory. - Do not run audit_library.py with its default settings in a workspace containing secrets. Instead pass --base to explicitly point to a sandboxed folder containing only the files you want audited. - Note that compression and minting are not implemented in this package; the SKILL.md points to an external verifier you must vet separately before installing or running it. - Run scripts/self_check.py first to confirm the bundle is internally consistent. Inspect the produced state/living_memory_audit_report.json after a dry run to see what was read and written. - If you want to be conservative: run the skill only in an isolated environment (container or throwaway workspace) and disable autonomous invocation for this skill until you have audited it fully. - If you lack the skills to audit file path logic, avoid installing an untrusted instruction-only skill that reads the filesystem, or ask someone with developer/security experience to review the index and scripts.
功能分析
Type: OpenClaw Skill Name: lygo-universal-living-memory-library Version: 1.1.0 The skill bundle is primarily documentation and Python scripts for auditing local files. The `audit_library.py` script reads files specified in `references/core_files_index.json` (relative to a configurable base path, defaulting to the workspace root) and writes a local report. It performs no network operations, no malicious execution (e.g., `eval`/`exec` of untrusted input), and no attempts at persistence or data exfiltration. While `SKILL.md` provides high-level instructions for tasks like 'Compress these logs' and 'Mint the Master Archive', the skill bundle itself does not contain executable components for these actions, nor does it instruct the agent to perform any malicious operations. The skill explicitly states it is 'Pure advisor; not a controller', which is consistent with the provided code.
能力评估
Purpose & Capability
The skill's name/description promise audit, compression, and mint/mint-verification workflows. The distributed package contains audit/self-check/show-hash scripts and protocol docs, but there is no implemented compression or minting/posting logic; instead SKILL.md points to an external 'lygo-mint-verifier' URL. That is a reasonable separation if the verifier is intentionally external, but it is an unexplained gap between claimed capabilities and included code.
Instruction Scope
SKILL.md instructs running audits/compression/minting. The included audit script performs local filesystem inspection and hashing only (no network). However, audit_library.py defaults --base to Path(__file__).resolve().parents[3] (i.e., a directory *above* the skill root), and it constructs target paths using base / rel without sanitizing rel; if core_files_index.json contains absolute paths or traversal, the script can read files outside the skill bundle. That makes the script able to access arbitrary files accessible to the agent/workspace and then write a JSON report under base/state, which could leak contents if the agent prints or transmits the report. The compression and anchoring steps are only described, not implemented.
Install Mechanism
This is an instruction-only skill with no install spec and no packaged external downloads. That keeps install risk low — nothing is fetched or extracted by the skill itself.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code likewise does not reference environment credentials. The SKILL.md's external verifier link may require separate installation/creds, but those are not requested by this skill.
Persistence & Privilege
always:false and no special persistence is requested. The skill is user-invocable and can be autonomously invoked by agents by default (platform default). Combined with the audit script's ability to read workspace files, autonomous invocation could increase blast radius — consider restricting autonomous use if you are concerned.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install lygo-universal-living-memory-library
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /lygo-universal-living-memory-library 触发
  4. 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
v1.1.0
Universal max-20 living memory index + fragile tagging + audit/compression workflows + LYGO-MINT provenance
元数据
Slug lygo-universal-living-memory-library
版本 1.1.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

LYGO Universal Living Memory Library (v1.1) 是什么?

Universal LYGO Living Memory Library upgrade. Provides a strict, low-noise memory index (max 20 files), fragile tagging, and audit/compression workflows so Champions can retain continuity and verify integrity via LYGO-MINT. Pure advisor; not a controller. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1028 次。

如何安装 LYGO Universal Living Memory Library (v1.1)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install lygo-universal-living-memory-library」即可一键安装,无需额外配置。

LYGO Universal Living Memory Library (v1.1) 是免费的吗?

是的,LYGO Universal Living Memory Library (v1.1) 完全免费(开源免费),可自由下载、安装和使用。

LYGO Universal Living Memory Library (v1.1) 支持哪些平台?

LYGO Universal Living Memory Library (v1.1) 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 LYGO Universal Living Memory Library (v1.1)?

由 LYRA Agent - LYGO OS(@deepseekoracle)开发并维护,当前版本 v1.1.0。

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