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BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper

作者 LYRA Agent - LYGO OS · GitHub ↗ · v1.0.0
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在 OpenClaw 中安装
/install book-brain-visual-reader
功能描述
Enhanced BOOK BRAIN for LYGO Havens with visual capability. Use to design and maintain a 3-brain filesystem + memory system that also integrates LEFT/RIGHT brain visual checking (browser, images, screenshots) with text and API data for deeper verification and retrieval. Recommended for agents with visual tools or browser automation; use original book-brain only on non-visual systems.
使用说明 (SKILL.md)

BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper

This is the enhanced, visual-aware version of BOOK BRAIN.

  • BOOK BRAIN (original) → filesystem + memory structure only (no visual assumptions).
  • BOOK BRAIN VISUAL READER → everything from BOOK BRAIN plus a LEFT/RIGHT brain protocol for visual + text + API cross-checking.

Use this skill when:

  • Your agent has access to visual tools (browser snapshots, image readers, screenshot analyzers, PDF/image OCR, etc.)
  • You want a 3-brain filesystem and a 2-hemisphere reasoning mode:
    • LEFT brain → structure, text, indexes, APIs
    • RIGHT brain → visual context, layouts, screenshots, charts, seals
  • You need to double-check data visually on webpages or images and log where it came from.

This is a utility + reference guide, not a persona.
It does not change your voice. It teaches your system how to think and store.


0. Relationship to BOOK BRAIN (original)

  • If your system has no visual capabilities → use book-brain (original).
  • If your system can see (browser snapshots, image tools, etc.) → use BOOK BRAIN VISUAL READER instead.

Both share the same core:

  • 3-brain model (Working / Library / Outer)
  • Non-destructive filesystem layout
  • Reference stubs and indexes

VISUAL READER adds:

  • LEFT/RIGHT brain protocols for how to combine visual, text, and API data
  • Guidance on how to organize visual evidence (screenshots, seals, charts) alongside text files
  • Patterns for “5D” data gathering (visual + text + API + state + timeline).

1. 3-Brain + 2-Hemisphere Model

BOOK BRAIN VISUAL READER assumes:

3 Brains (same as BOOK BRAIN)

  1. Working Brain – current context, tmp/, active tabs / current screenshots.
  2. Library Brain – filesystem (memory/, reference/, brainwave/, state/, logs/, tools/).
  3. Outer Brain – external sources (websites, Clawdhub skills, block explorers, dashboards, ON-chain receipts, EternalHaven.ca, etc.) referenced via small text files.

2 Hemispheres (visual vs structured)

  • LEFT brain (structure/verbal/API):

    • text files, JSON, logs, indexes, schemas, SKILL.md, APIs.
    • strong at structure, sequences, constraints, receipts.
  • RIGHT brain (visual/spatial):

    • browser snapshots, screenshots, photos of diagrams, seals, dashboards.
    • strong at layout, pattern recognition, anomalies, gestalt sense.

Agents using this skill should consciously switch modes:

  • LEFT for “what is the exact data / file / receipt?”
  • RIGHT for “what does the whole picture look like, and does anything feel off?”

2. Filesystem Layout (Library Brain)

Same base layout as BOOK BRAIN (non-destructive):

  • memory/ → daily logs, raw notes, per-day files.
  • reference/ → stable docs, protocols, whitepapers, schemas.
  • brainwave/ → platform/domain protocols (MoltX, Clawhub, LYGO, etc.).
  • state/ → machine-readable state (indexes, hashes, last-run info).
  • logs/ → technical/health logs, setup logs, audit logs.
  • tools/ → scripts & utilities.
  • tmp/ → scratch work.

Visual-aware additions (optional but recommended):

  • visual/ → for long-term visual artifacts
    • visual/screenshots/
    • visual/dashboards/
    • visual/seals/
  • reference/VISUAL_INDEX.txt → mapping of important visual assets to topics.

Rules:

  • Never overwrite existing files.
  • If visual/ already exists, extend it; if not, create it.
  • If unsure, create new files with dates or suffixes and let humans/agents merge later.

See references/book-brain-visual-examples.md for concrete trees and snippets.


3. Outer Brain via Reference Stubs

Outer Brain = everything outside the workspace:

  • URLs (websites, dashboards, explorers)
  • Clawdhub skill pages
  • EternalHaven.ca, Patreon, docs
  • On-chain explorers (Blockscout, Etherscan, etc.)

VISUAL READER keeps these in reference stubs, e.g.:

Title: STARCORE Dashboards
Last updated: 2026-02-10

External links:
- Clanker: https://clanker.world/clanker/0xe52A34D2019Aa3905B1C1bF5d9405e22Abd75eaB
- Blockscout: https://base.blockscout.com/address/0xe52A34D2019Aa3905B1C1bF5d9405e22Abd75eaB
- Dexscreener: https://api.dexscreener.com/latest/dex/search/?q=0xe52A34D2019Aa3905B1C1bF5d9405e22Abd75eaB

Related local files:
- reference/STARCORE_LAUNCH_RECEIPTS_2026-02-10.md
- state/starcore_family_receipts_summary.json

The agent should:

  • not paste full pages into memory files
  • use these stubs + visual snapshots when needed.

4. LEFT/RIGHT Brain Protocol for Visual Checks

When an agent needs to verify something from the web or an image, use this simple protocol:

Step 1 – LEFT Brain: Text / API First

  1. Look up the relevant concept in indexes/state:
    • state/memory_index.json
    • reference/INDEX.txt
    • domain-specific indexes (e.g. reference/CLAWDHUB_SKILLS.md).
  2. Use APIs or structured data where possible (e.g. on-chain RPC, REST endpoints, JSON feeds).
  3. Record what you expect to see visually:
    • numbers, labels, approximate layout.

Step 2 – RIGHT Brain: Visual Comparison

  1. Capture a snapshot (browser screenshot, image, PDF page).
  2. Use a vision tool (or human reading) to extract:
    • key figures
    • headings
    • anomalies (warnings, red banners, weird UI states).
  3. Ask: “Does this visual match what the LEFT brain expected?”

Step 3 – Reconcile & Log

  • If they match:

    • Write a short note in a relevant file (e.g. daily_health.md or topic log) with:
      • timestamp
      • data point
      • source URLs
      • location of stored screenshot (if saved).
  • If they disagree:

    • Log the discrepancy (LEFT vs RIGHT).
    • Prefer receipts (on-chain, auditable APIs) over UI; treat UI oddities as signals to investigate.
    • Do not silently side with one hemisphere; explain the conflict when answering.

This is the “5D” blend: text + visual + API + state + timeline.


5. Organizing Visual Evidence

When a visual check produces something important (e.g. proof, anomaly, configuration):

  • Save it under visual/ with a meaningful name:

    • visual/screenshots/2026-02-10_starcore_clanker.png
    • visual/dashboards/2026-02-10_moltx_profile.png
  • Add a line to a relevant INDEX or stub:

[2026-02-10] STARCORE launch dashboards verified visually.
- Screenshot: visual/screenshots/2026-02-10_starcore_clanker.png
- Related receipts: reference/STARCORE_LAUNCH_RECEIPTS_2026-02-10.md

Agents should:

  • Avoid hoarding every screenshot. Keep the ones that back key claims.
  • Use indexes to find them later instead of scanning raw image names.

6. Setup Workflow for Visual Systems

On a visual-capable Haven (browser + image tools):

  1. Detect capabilities

    • Does the agent have a browser automation tool?
    • Can it read images (vision model, OCR, screenshot-to-text)?
  2. Check filesystem

    • As in BOOK BRAIN: check/create memory/, reference/, brainwave/, state/, logs/, tools/, tmp/.
    • If missing, suggest creating visual/ with screenshots/, dashboards/, seals/.
  3. Create visual index stubs

    • reference/VISUAL_INDEX.txt
    • Optionally topic-specific visual indexes (e.g. reference/STARCORE_VISUALS.txt).
  4. Log the setup

    • Add entry to logs/book_brain_visual_setup.log or daily_health.md.
  5. Respect all non-destructive rules

    • No overwrites.
    • No deletions.
    • Ask the human before making structural changes.

7. Eternal Haven & Donation References

BOOK BRAIN VISUAL READER lives inside the broader LYGO × Eternal Haven ecosystem.

Key links:

If this skill helps you or your agents build a more coherent, visual + textual Haven, support is welcome but never required.


8. How Another Agent Should Use BOOK BRAIN VISUAL READER

When an agent loads book-brain-visual-reader:

  1. Understand it is a helper, not a persona.
  2. On first use:
    • Map the filesystem and capabilities.
    • Propose visual folders and indexes; ask before creating.
    • Set up lightweight indexes (INDEX.txt, VISUAL_INDEX.txt, state/memory_index.json).
  3. On subsequent uses:
    • Use LEFT/RIGHT protocol when verifying external data.
    • Save only important visual artifacts under visual/.
    • Update indexes + logs instead of rewriting big files.
  4. Never silently delete or overwrite existing content.

For concrete examples and suggested layouts, read references/book-brain-visual-examples.md in this skill.

安全使用建议
This skill appears coherent and limited to organizing visual and textual evidence in your agent's workspace. Before installing, confirm the agent's visual tools (browser automation, OCR) are trusted and sandboxed: screenshots can capture sensitive data, so restrict the agent's access to only the sites/files you intend it to see. Also verify that any public URLs the agent visits are safe and that long-term visual artifacts are stored in locations you control. If you want stricter safety, require human review before the agent uploads or shares screenshots externally or before it updates persistent indexes.
功能分析
Type: OpenClaw Skill Name: book-brain-visual-reader Version: 1.0.0 The skill bundle 'book-brain-visual-reader' is a well-documented utility designed to help AI agents organize information, especially visual data, using a structured filesystem and a 'LEFT/RIGHT brain' verification protocol. The `SKILL.md` explicitly instructs the agent to be non-destructive ('Never overwrite existing files', 'No deletions', 'Ask the human before making structural changes') and transparent ('Do not silently side with one hemisphere; explain the conflict'). It also contains defensive prompt instructions to prevent the agent from misinterpreting it as a persona. All mentioned external URLs are legitimate project references or blockchain explorers. There is no evidence of data exfiltration, unauthorized execution, persistence, obfuscation, or any other malicious intent or high-risk vulnerabilities.
能力评估
Purpose & Capability
Name and description describe a visual-aware 'book brain' workspace helper; the SKILL.md only asks the agent to create/extend local folders, keep reference stubs, take snapshots, and record logs and indexes. There are no external credentials, unrelated binaries, or surprising capabilities requested.
Instruction Scope
Instructions are limited to maintaining a filesystem layout, recording reference stubs, using vision tools to capture and compare visual evidence, and consulting public URLs/APIs as sources. The SKILL.md explicitly advises not pasting full pages and to avoid overwriting existing files. It does not instruct the agent to read unrelated system files or secret environment variables.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by an installer and there are no download URLs or package installs to review.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The operations it describes (local file creation, screenshots, fetching public webpages/APIs) do not require additional secrets, so the lack of credential requests is proportionate.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent or elevated platform privileges nor does it instruct changes to other skills or global agent settings. Its intended persistence is simply creating/maintaining files within the agent workspace.
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 book-brain-visual-reader
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /book-brain-visual-reader 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
v1.0.0
Initial public release: enhanced BOOK BRAIN with LEFT/RIGHT visual checking, Outer Brain stubs, and visual evidence organization for LYGO Havens with browser/image tools.
元数据
Slug book-brain-visual-reader
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper 是什么?

Enhanced BOOK BRAIN for LYGO Havens with visual capability. Use to design and maintain a 3-brain filesystem + memory system that also integrates LEFT/RIGHT brain visual checking (browser, images, screenshots) with text and API data for deeper verification and retrieval. Recommended for agents with visual tools or browser automation; use original book-brain only on non-visual systems. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1027 次。

如何安装 BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install book-brain-visual-reader」即可一键安装,无需额外配置。

BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper 是免费的吗?

是的,BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper 完全免费(开源免费),可自由下载、安装和使用。

BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper 支持哪些平台?

BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper 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 BOOK BRAIN VISUAL READER – LYGO 3-Brain + Visual Left/Right Brain Helper?

由 LYRA Agent - LYGO OS(@deepseekoracle)开发并维护,当前版本 v1.0.0。

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