Xpersona

Crawler Summary

chatgpt-export answer-first brief

Parse and work with ChatGPT data exports (conversations.json). Use when users want to read, search, analyze, or write scripts to process their ChatGPT conversation history. --- name: chatgpt-export description: Parse and work with ChatGPT data exports (conversations.json). Use when users want to read, search, analyze, or write scripts to process their ChatGPT conversation history. --- ChatGPT Export Parser This skill provides knowledge to parse ChatGPT data exports. Use this when users ask you to work with their ChatGPT conversation history. Export Structure Overview ChatGPT exports con Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

chatgpt-export is best for exceed, include 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 94/100

chatgpt-export

Parse and work with ChatGPT data exports (conversations.json). Use when users want to read, search, analyze, or write scripts to process their ChatGPT conversation history. --- name: chatgpt-export description: Parse and work with ChatGPT data exports (conversations.json). Use when users want to read, search, analyze, or write scripts to process their ChatGPT conversation history. --- ChatGPT Export Parser This skill provides knowledge to parse ChatGPT data exports. Use this when users ask you to work with their ChatGPT conversation history. Export Structure Overview ChatGPT exports con

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals3 GitHub stars

Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

3 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Getaifs

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Unpublished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. 3 GitHub stars reported by the source. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/getaifs/chatgpt-export.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

Getaifs

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

3 GitHub stars

profilemedium
Observed Apr 15, 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

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

python

import json

def load_conversations(path):
    """Load ChatGPT conversations.json file."""
    with open(path, 'r', encoding='utf-8') as f:
        return json.load(f)

conversations = load_conversations("conversations.json")
print(f"Found {len(conversations)} conversations")

python

def get_visible_messages(conversation):
    """Extract user/assistant messages, filtering hidden system messages."""
    messages = []
    for node in conversation['mapping'].values():
        msg = node.get('message')
        if not msg:
            continue

        # Skip system messages and hidden content
        if msg['author']['role'] == 'system':
            continue
        if msg.get('weight', 1.0) == 0.0:
            continue
        if msg.get('metadata', {}).get('is_visually_hidden_from_conversation'):
            continue

        messages.append(msg)

    # Sort by creation time
    messages.sort(key=lambda m: m.get('create_time') or 0)
    return messages

python

def get_text_content(message):
    """Extract text from a message, handling multimodal content."""
    parts = message['content'].get('parts', [])
    text_parts = []

    for part in parts:
        if isinstance(part, str):
            text_parts.append(part)
        elif isinstance(part, dict):
            content_type = part.get('content_type')
            if content_type == 'image_asset_pointer':
                text_parts.append(f"[Image: {part['asset_pointer']}]")

    return '\n'.join(text_parts)

python

def get_conversation_thread(mapping, current_node_id):
    """Follow the tree from current_node back to root."""
    thread = []
    node_id = current_node_id

    while node_id:
        node = mapping[node_id]
        if node.get('message'):
            thread.append(node)
        node_id = node.get('parent')

    return list(reversed(thread))

json

{
  "content_type": "image_asset_pointer",
  "asset_pointer": "sediment://file_XXXXXXXX",
  "width": 1024,
  "height": 768
}

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Parse and work with ChatGPT data exports (conversations.json). Use when users want to read, search, analyze, or write scripts to process their ChatGPT conversation history. --- name: chatgpt-export description: Parse and work with ChatGPT data exports (conversations.json). Use when users want to read, search, analyze, or write scripts to process their ChatGPT conversation history. --- ChatGPT Export Parser This skill provides knowledge to parse ChatGPT data exports. Use this when users ask you to work with their ChatGPT conversation history. Export Structure Overview ChatGPT exports con

Full README

name: chatgpt-export description: Parse and work with ChatGPT data exports (conversations.json). Use when users want to read, search, analyze, or write scripts to process their ChatGPT conversation history.

ChatGPT Export Parser

This skill provides knowledge to parse ChatGPT data exports. Use this when users ask you to work with their ChatGPT conversation history.

Export Structure Overview

ChatGPT exports contain a conversations.json file:

  • Format: Single-line minified JSON array
  • Size: Can exceed 200MB for active users
  • Structure: Array of conversation objects, each using a tree structure for messages

Quick Start: Loading Conversations

import json

def load_conversations(path):
    """Load ChatGPT conversations.json file."""
    with open(path, 'r', encoding='utf-8') as f:
        return json.load(f)

conversations = load_conversations("conversations.json")
print(f"Found {len(conversations)} conversations")

Key Parsing Patterns

Extract Visible Messages from a Conversation

def get_visible_messages(conversation):
    """Extract user/assistant messages, filtering hidden system messages."""
    messages = []
    for node in conversation['mapping'].values():
        msg = node.get('message')
        if not msg:
            continue

        # Skip system messages and hidden content
        if msg['author']['role'] == 'system':
            continue
        if msg.get('weight', 1.0) == 0.0:
            continue
        if msg.get('metadata', {}).get('is_visually_hidden_from_conversation'):
            continue

        messages.append(msg)

    # Sort by creation time
    messages.sort(key=lambda m: m.get('create_time') or 0)
    return messages

Extract Text Content from a Message

def get_text_content(message):
    """Extract text from a message, handling multimodal content."""
    parts = message['content'].get('parts', [])
    text_parts = []

    for part in parts:
        if isinstance(part, str):
            text_parts.append(part)
        elif isinstance(part, dict):
            content_type = part.get('content_type')
            if content_type == 'image_asset_pointer':
                text_parts.append(f"[Image: {part['asset_pointer']}]")

    return '\n'.join(text_parts)

Follow Conversation Thread (Tree Navigation)

def get_conversation_thread(mapping, current_node_id):
    """Follow the tree from current_node back to root."""
    thread = []
    node_id = current_node_id

    while node_id:
        node = mapping[node_id]
        if node.get('message'):
            thread.append(node)
        node_id = node.get('parent')

    return list(reversed(thread))

Essential Fields Reference

Conversation Object

| Field | Type | Description | |-------|------|-------------| | id | string | Unique conversation ID | | title | string | User-visible title | | create_time | number | Unix timestamp (seconds) | | mapping | object | Tree of message nodes | | current_node | string | ID of active message |

Message Object

| Field | Type | Description | |-------|------|-------------| | author.role | string | "user", "assistant", "system", or "tool" | | content.content_type | string | "text", "multimodal_text", "code", etc. | | content.parts | array | Content parts (strings or objects) | | create_time | number/null | Message timestamp |

Content Types

  • text - Plain text, parts is ["message text"]
  • multimodal_text - Mixed content, parts can include image objects
  • code - Code blocks
  • execution_output - Code execution results
  • thoughts - Internal reasoning (o1/o3 models)

Image Handling

Images use asset pointers:

{
  "content_type": "image_asset_pointer",
  "asset_pointer": "sediment://file_XXXXXXXX",
  "width": 1024,
  "height": 768
}

Image files in export: file_XXXXXXXX-sanitized.jpg

Common Use Cases

  1. List conversations: Iterate conversations array, access title and create_time
  2. Search by content: Extract text from each message, search with regex or string matching
  3. Export to Markdown: Format messages with headers for user/assistant roles
  4. Date filtering: Compare create_time with target timestamps

For complete schema documentation, see SCHEMA.md.

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

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/getaifs-chatgpt-export/snapshot"
curl -s "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/contract"
curl -s "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/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
Agent hubMore from this sourceOpenClaw agents
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/getaifs-chatgpt-export/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:32:55.073Z"
    }
  },
  "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": "exceed",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "include",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:exceed|supported|profile capability:include|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": "Getaifs",
    "href": "https://github.com/getaifs/chatgpt-export",
    "sourceUrl": "https://github.com/getaifs/chatgpt-export",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:16:14.000Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:16:14.000Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "3 GitHub stars",
    "href": "https://github.com/getaifs/chatgpt-export",
    "sourceUrl": "https://github.com/getaifs/chatgpt-export",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:16:14.000Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/getaifs-chatgpt-export/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
  }
]

Sponsored

Ads related to chatgpt-export and adjacent AI workflows.