How should facts-from-openai be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

facts-from-openai answer-first brief

Extract personal facts and build a "Who Am I?" profile from your ChatGPT conversation history using local LLM processing. All data stays on your machine. --- name: facts-from-openai description: Extract personal facts and build a "Who Am I?" profile from your ChatGPT conversation history using local LLM processing. All data stays on your machine. allowed-tools: Bash(python3:*),Bash(ollama:*),Bash(brew:*) user-invocable: true --- Facts from OpenAI - Personal Profile from ChatGPT History Extract personal facts from your ChatGPT conversations and generate a comprehensive Capability contract not published. No trust telemetry is available yet. 11 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

facts-from-openai is best for read 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 100/100

facts-from-openai

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals11 GitHub stars

Capability contract not published. No trust telemetry is available yet. 11 GitHub stars reported by the source. Last updated 4/15/2026.

11 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Getaifs

Artifacts

Benchmarks

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Unpublished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. 11 GitHub stars reported by the source. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/getaifs/facts-from-openai.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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 link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Adoption (1)

Adoption signal

11 GitHub stars

profilemedium

Observed Apr 15, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

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

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

bash

python3 ~/.claude/skills/facts-from-openai/facts.py run \
  --export /path/to/chatgpt-export.zip \
  --output ~/my-profile

bash

# 1. Extract facts from conversations
python3 ~/.claude/skills/facts-from-openai/facts.py extract \
  --export /path/to/export.zip \
  --output ~/my-profile \
  --limit 100  # Optional: process first N conversations

# 2. Merge duplicate/overlapping facts
python3 ~/.claude/skills/facts-from-openai/facts.py merge \
  --output ~/my-profile

# 3. Generate final profile
python3 ~/.claude/skills/facts-from-openai/facts.py synthesize \
  --output ~/my-profile

text

~/my-profile/
├── extractions/           # protected_*.json (Claude NEVER reads)
├── merged_facts.json      # Consolidated facts (Claude NEVER reads)
├── profile.md             # Final profile (Claude CAN read and present)
└── stats.json             # Processing stats (Claude CAN read)

text

1. Ask for the ChatGPT export path (or help them get one)

2. Check LLM status:
   python3 ~/.claude/skills/qwen3/setup.py status

3. If not ready, set up LLM:
   python3 ~/.claude/skills/qwen3/setup.py install

4. Run the pipeline:
   python3 ~/.claude/skills/facts-from-openai/facts.py run \
     --export <PATH> \
     --output ~/facts-output

5. When complete, read and present ~/facts-output/profile.md

6. If errors occur, check ~/facts-output/stats.json for debugging

bash

python3 ~/.claude/skills/qwen3/setup.py install

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

name: facts-from-openai description: Extract personal facts and build a "Who Am I?" profile from your ChatGPT conversation history using local LLM processing. All data stays on your machine. allowed-tools: Bash(python3:),Bash(ollama:),Bash(brew:*) user-invocable: true

Facts from OpenAI - Personal Profile from ChatGPT History

Extract personal facts from your ChatGPT conversations and generate a comprehensive "Who Am I?" profile. All processing happens locally using your own LLM - Claude orchestrates but never reads your conversation content.

Related skills:

qwen3 - For installing Qwen3 locally (handles platform detection and setup)
chatgpt-export - For understanding the ChatGPT export format

CRITICAL: Privacy Rules for Claude

NEVER do any of the following:

Read or preview conversations.json from the export
Read any file starting with protected_
Read merged_facts.json (contains personal facts)
Use cat, head, tail, or the Read tool on these files
Preview conversation content "to check if it works"

Claude CAN read:

profile.md - The final synthesized output (safe to present to user)
stats.json - Processing statistics (just counts, no personal data)

Prerequisites

ChatGPT export ZIP - Download from ChatGPT Settings > Data Controls > Export
Local LLM server - Set up with: python3 ~/.claude/skills/qwen3/setup.py install

Usage

Full Pipeline (Recommended)

python3 ~/.claude/skills/facts-from-openai/facts.py run \
  --export /path/to/chatgpt-export.zip \
  --output ~/my-profile

Individual Phases

# 1. Extract facts from conversations
python3 ~/.claude/skills/facts-from-openai/facts.py extract \
  --export /path/to/export.zip \
  --output ~/my-profile \
  --limit 100  # Optional: process first N conversations

# 2. Merge duplicate/overlapping facts
python3 ~/.claude/skills/facts-from-openai/facts.py merge \
  --output ~/my-profile

# 3. Generate final profile
python3 ~/.claude/skills/facts-from-openai/facts.py synthesize \
  --output ~/my-profile

Output Structure

~/my-profile/
├── extractions/           # protected_*.json (Claude NEVER reads)
├── merged_facts.json      # Consolidated facts (Claude NEVER reads)
├── profile.md             # Final profile (Claude CAN read and present)
└── stats.json             # Processing stats (Claude CAN read)

Workflow for Claude

When user invokes /facts-from-openai or asks to build a profile:

1. Ask for the ChatGPT export path (or help them get one)

2. Check LLM status:
   python3 ~/.claude/skills/qwen3/setup.py status

3. If not ready, set up LLM:
   python3 ~/.claude/skills/qwen3/setup.py install

4. Run the pipeline:
   python3 ~/.claude/skills/facts-from-openai/facts.py run \
     --export <PATH> \
     --output ~/facts-output

5. When complete, read and present ~/facts-output/profile.md

6. If errors occur, check ~/facts-output/stats.json for debugging

Troubleshooting

No LLM detected:

python3 ~/.claude/skills/qwen3/setup.py install

Export not found:

Verify the path points to a ZIP file (not extracted folder)
The ZIP must contain conversations.json

Low quality results:

Use a larger model (8B+ parameters recommended)
Reduce --workers to avoid overwhelming the LLM

Model Recommendations

Minimum: qwen3:4b (fast but may miss nuance)
Recommended: qwen3:8b (good balance)
Best quality: qwen3:32b or qwen3:30b-a3b (if hardware supports)

The qwen3-skill auto-detects your hardware and recommends the best size.

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-facts-from-openai/snapshot"

curl -s "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/contract"

curl -s "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/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

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

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

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

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/getaifs-facts-from-openai/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:44:09.833Z"
    }
  },
  "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": "read",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:read|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/facts-from-openai",
    "sourceUrl": "https://github.com/getaifs/facts-from-openai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:14:04.678Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:14:04.678Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "11 GitHub stars",
    "href": "https://github.com/getaifs/facts-from-openai",
    "sourceUrl": "https://github.com/getaifs/facts-from-openai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:14:04.678Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/getaifs-facts-from-openai/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
  }
]