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在 OpenClaw 中安装
/install walvis
功能描述
W.A.L.V.I.S. - AI-powered knowledge manager. Save anything from Telegram — links, text, images. Auto-tag and organize with AI; store on Walrus decentralized...
安全使用建议
What to check before installing:
- Confirm where you'll run the installer: the repo includes code and an installer (bin/cli.js); prefer reviewing/inspecting the files locally before running any npx install. Do not blindly run 'npx walvis' unless you trust the npm package owner.
- Expect to provide an LLM API key (llmApiKey / WALVIS_LLM_API_KEY). The registry claims no env vars, but the CLI and docs require this; ask the author how/where the key is stored (manifest or env) and avoid supplying high-privilege keys (use a scoped/test key if possible).
- Be aware the skill will read/write ~/.walvis (manifest, spaces, media) and may upload screenshots and space blobs to walrus-testnet endpoints. If you plan to keep data private, do not run `/walvis sync` or enable uploads until you audit the code and configuration.
- The skill instructs the agent to use a real browser tool to open arbitrary URLs and take snapshots — this is necessary for rich bookmarks but increases risk (drive-by content, JS execution, etc.). Run the skill in an isolated environment or container if you have sensitive data or are unsure.
- The OpenClaw hook rewrites incoming messages and can auto-save bare URLs — if you do not want automatic behavior, set manifest.autoSave = false and disable fastPath or review the hook before enabling.
- Review where the CLI/installer inspects Docker mounts and writes into OpenClaw config (it calls docker inspect / exec). If you run the installer on a machine with Docker, it may detect containers and host paths; verify these operations are acceptable in your environment.
- If you want to proceed, audit where credentials are stored (manifest.json, openclaw.json) and prefer testnet/demo keys initially. If unsure, run the web UI locally in dev mode and test with dummy data before connecting your real LLM key or syncing to Walrus.
功能分析
Type: OpenClaw Skill
Name: walvis
Version: 1.0.1
W.A.L.V.I.S. is a comprehensive AI-powered knowledge manager designed for the OpenClaw x Sui Hackathon. It saves content from Telegram to Walrus decentralized storage and provides a React-based web UI for browsing. Key security-relevant behaviors include accessing the Sui keystore (~/.sui/sui_config/sui.keystore) in 'seal-crypto.ts' to enable on-chain encryption (Seal), using a Vite plugin in the web directory to provide a local API with filesystem access to ~/.walvis, and utilizing cron jobs for automated reminders. While these capabilities involve high-risk permissions (filesystem access, wallet interaction, and web scraping), they are clearly aligned with the stated purpose of a decentralized knowledge vault and are well-documented throughout the SKILL.md and README.md files. All network activity is directed to official Sui and Walrus testnet endpoints.
能力评估
Purpose & Capability
The name/description, the SKILL.md, and the included code (CLI, hook, fastpath plugin, web UI) are consistent with a Telegram knowledge manager that stores data locally under ~/.walvis and syncs to Walrus testnet. However the registry metadata says no required env vars while README/CLAUDE.md/bin/cli.js and SKILL.md expect an LLM API endpoint/key and optional Sui wallet info — a clear metadata mismatch. Also metadata.openclaw suggests installing an npm package 'walvis' while this repository contains the skill sources locally; that discrepancy is worth confirming before running 'npx walvis'.
Instruction Scope
Runtime instructions explicitly tell the agent to read and write files under ~/.walvis, to fetch pages using WebFetch and a real browser tool (open + snapshot + screenshot), and to upload screenshots via curl to walrus-testnet publisher endpoints. Those behaviors are coherent with a bookmarking tool, but they grant the agent broad network access (fetch arbitrary user-supplied URLs and upload binary screenshots to external endpoints) and instruct the agent to always prefer the browser tool — which increases the blast radius if misused.
Install Mechanism
There is no install spec in the registry entry, but the repository contains a CLI (bin/cli.js), package.json and package-lock.json and many JS/TS files — so installation will involve copying files and running npm in your environment or running 'npx walvis'. The code calls child_process (execSync/spawnSync) in places (installer detects Docker/OpenClaw) — expected for an installer but worth attention. No downloads from untrusted hosts are present in the manifest, but verify the npm package name and origin if you run 'npx walvis'.
Credentials
Registry metadata claims no required environment variables, yet the CLI and docs request an LLM API key/endpoint (llmEndpoint/llmApiKey / WALVIS_LLM_API_KEY) and optionally a Sui wallet address. The skill will prompt for and persist LLM credentials during setup and uses them for content analysis — requesting an LLM key is proportionate to the stated AI-analysis purpose, but the mismatch between declared requirements and actual code/installer is a red flag you should resolve. No unrelated secrets (AWS, GitHub, etc.) are requested.
Persistence & Privilege
The skill does not request 'always: true' and is user-invocable. It includes an OpenClaw message hook that rewrites messages (fast-path routing) and can auto-save bare URLs if manifest.autoSave is enabled; the fastpath plugin defaults to ON for new installs. This behavior (message rewriting/automatic saves and plugin that bypasses LLM for deterministic commands) is within the skill's purpose but is a privilege you should be conscious of because it changes incoming message content and can trigger automatic uploads/syncs.
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 walvis - 安装完成后，直接呼叫该 Skill 的名称或使用
/walvis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
v1.0.1
Add screenshot docs and update local/web fast path flows
v1.0.0
Initial release of W.A.L.V.I.S.—an AI-powered bookmark manager for Telegram and Walrus decentralized storage.
- Save links, text, and images with automatic AI tagging and summarization.
- Fetch web content robustly using multiple fallback methods; capture and store webpage screenshots.
- Organize bookmarks into spaces, prevent duplicates, and maintain a master index for quick retrieval.
- Browse, search, and manage bookmarks with concise Telegram responses and interactive buttons.
- Sync all data securely to Walrus decentralized storage for backup and web UI access.
元数据
常见问题
Sui Vibe 是什么？
W.A.L.V.I.S. - AI-powered knowledge manager. Save anything from Telegram — links, text, images. Auto-tag and organize with AI; store on Walrus decentralized... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 365 次。
如何安装 Sui Vibe？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install walvis」即可一键安装，无需额外配置。
Sui Vibe 是免费的吗？
是的，Sui Vibe 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Sui Vibe 支持哪些平台？
Sui Vibe 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 Sui Vibe？
由 Kuuga-0（@kuuga-0）开发并维护，当前版本 v1.0.1。
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