Crawler Summary

screenshot-to-note answer-first brief

Use when the user sends a photo or screenshot of a physical book page. Downloads the image, transcribes text via Gemini Vision, and saves as a highlight in their Obsidian vault. The user should include the book title in the message caption. --- name: screenshot-to-note description: "Use when the user sends a photo or screenshot of a physical book page. Downloads the image, transcribes text via Gemini Vision, and saves as a highlight in their Obsidian vault. The user should include the book title in the message caption." metadata: { "openclaw": { "emoji": "\ud83d\udcf8", "requires": { "bins": ["python3"], "env": ["GOOGLE_API_KEY", "OBSIDIAN_VAULT_PATH"], Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

screenshot-to-note is best for verify workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

screenshot-to-note

Use when the user sends a photo or screenshot of a physical book page. Downloads the image, transcribes text via Gemini Vision, and saves as a highlight in their Obsidian vault. The user should include the book title in the message caption. --- name: screenshot-to-note description: "Use when the user sends a photo or screenshot of a physical book page. Downloads the image, transcribes text via Gemini Vision, and saves as a highlight in their Obsidian vault. The user should include the book title in the message caption." metadata: { "openclaw": { "emoji": "\ud83d\udcf8", "requires": { "bins": ["python3"], "env": ["GOOGLE_API_KEY", "OBSIDIAN_VAULT_PATH"],

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Deepspawn

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Setup snapshot

git clone https://github.com/DeepSpawn/screenshot-to-note.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Deepspawn

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

5

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

{baseDir}/.venv/bin/python {baseDir}/scripts/screenshot_to_note.py '<json_input>'

bash

{baseDir}/.venv/bin/python {baseDir}/scripts/screenshot_to_note.py --dry-run '<json_input>'

json

{
  "image_url": "https://api.telegram.org/file/bot.../photos/file_0.jpg",
  "book_title": "The Name of the Book",
  "book_author": "Author Name",
  "page": "42"
}

json

{"ok": true, "book_title": "The Name of the Book", "note_path": "Sources/Books/The Name of the Book.md", "action": "appended", "text_preview": "First 200 chars of transcribed text..."}

json

{"ok": false, "error": "Missing required field: image_url", "stage": "validate"}

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Use when the user sends a photo or screenshot of a physical book page. Downloads the image, transcribes text via Gemini Vision, and saves as a highlight in their Obsidian vault. The user should include the book title in the message caption. --- name: screenshot-to-note description: "Use when the user sends a photo or screenshot of a physical book page. Downloads the image, transcribes text via Gemini Vision, and saves as a highlight in their Obsidian vault. The user should include the book title in the message caption." metadata: { "openclaw": { "emoji": "\ud83d\udcf8", "requires": { "bins": ["python3"], "env": ["GOOGLE_API_KEY", "OBSIDIAN_VAULT_PATH"],

Full README

name: screenshot-to-note description: "Use when the user sends a photo or screenshot of a physical book page. Downloads the image, transcribes text via Gemini Vision, and saves as a highlight in their Obsidian vault. The user should include the book title in the message caption." metadata: { "openclaw": { "emoji": "\ud83d\udcf8", "requires": { "bins": ["python3"], "env": ["GOOGLE_API_KEY", "OBSIDIAN_VAULT_PATH"], }, }, }

Screenshot to Note

Transcribe text from photos of physical book pages and save as highlights in Obsidian.

When to use

Use this skill when the user sends a photo or screenshot of a physical book page and wants to capture a passage or quote from it. The user's message should include the book title (and optionally the author and page number) in the caption or surrounding message.

Do NOT use this skill for:

  • Digital book highlights (Kindle, etc.)
  • Screenshots of websites or articles
  • Book cover identification (use book-bot instead)

Run

{baseDir}/.venv/bin/python {baseDir}/scripts/screenshot_to_note.py '<json_input>'

Dry-run (run OCR but skip file modification):

{baseDir}/.venv/bin/python {baseDir}/scripts/screenshot_to_note.py --dry-run '<json_input>'

The <json_input> is a JSON string with the following fields:

{
  "image_url": "https://api.telegram.org/file/bot.../photos/file_0.jpg",
  "book_title": "The Name of the Book",
  "book_author": "Author Name",
  "page": "42"
}

Required fields: image_url, book_title. Optional: book_author, page.

Output format

The script outputs a single JSON line to stdout.

Success:

{"ok": true, "book_title": "The Name of the Book", "note_path": "Sources/Books/The Name of the Book.md", "action": "appended", "text_preview": "First 200 chars of transcribed text..."}

The action field is either "created" (new note) or "appended" (added to existing note).

Error:

{"ok": false, "error": "Missing required field: image_url", "stage": "validate"}

Stages: config, validate, fetch, ocr, write, commit.

Workflow

  1. Extract metadata from the user's message. Look at the caption or surrounding text for the book title, author, and page number. If the book title is not provided, ask the user for it before proceeding.
  2. Get the image URL from the Telegram message attachment.
  3. Construct the JSON input with image_url, book_title, and optionally book_author and page.
  4. Run the script with the JSON string as a single positional argument. Use single quotes around the JSON to avoid shell escaping issues.
  5. Parse the JSON output.
  6. On success, tell the user: "Saved highlight from {book_title} to your vault." If the action was "created", mention that a new note was created. Include the text_preview so the user can verify the transcription.
  7. On error, relay the error message to the user.

Environment variables

All injected via OpenClaw skill config. Do not ask the user for these.

  • GOOGLE_API_KEY (required) - Google Generative AI key for Gemini Vision OCR
  • OBSIDIAN_VAULT_PATH (required) - Path to the Obsidian vault root

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/snapshot"
curl -s "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/contract"
curl -s "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:29:55.731Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "verify",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:verify|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Deepspawn",
    "href": "https://github.com/DeepSpawn/screenshot-to-note",
    "sourceUrl": "https://github.com/DeepSpawn/screenshot-to-note",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:35.476Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:23:35.476Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/deepspawn-screenshot-to-note/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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