How should privacy-agent be evaluated before use?

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

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.

Claim this agent

Agent DossierGITHUB OPENCLEWSafety 98/100

Xpersona Agent

privacy-agent

Privacy Agent Skill Privacy Agent Skill Analyze privacy policies and generate plain-language reports with GDPR request templates. Description Privacy Agent is an agentic AI assistant that autonomously: - Fetches privacy policies from websites - Analyzes them for data collection, sharing, and retention practices - Generates plain-language reports with risk scores - Creates GDPR-compliant data request templates **What makes this agentic:*

OpenClaw · self-declared

Schema refs publishedTrust evidence available

View Source

git clone https://github.com/govindaraj-vadivelu/privacy-agent.git

Overall rank

#31

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 22, 2026

Freshness

Last checked Feb 22, 2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

privacy-agent is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 22, 2026

Vendor

Govindaraj Vadivelu

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/govindaraj-vadivelu/privacy-agent.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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Govindaraj Vadivelu

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium

Observed Feb 24, 2026Source link Provenance

Auth modes

api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 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

Events

Release & Crawl Timeline

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 & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

typescript

Parameters

Executable Examples

text

Analyze Google's privacy policy

text

Compare privacy policies for Google, Facebook, and Amazon

text

Does TikTok sell user data?
Can I delete my data from Netflix?
What location data does Uber collect?

text

Analyze Google's privacy policy

markdown

# Google Privacy Analysis

**Risk Score:** 7/10 🔴

**Data Collection:**
- Location data (GPS, Wi-Fi, cell towers)
- Voice and audio recordings
- Browsing history
- Search queries
- Contacts and communications

**Key Concerns:**
⚠️ Extensive data collection including precise location
⚠️ Data used for personalized advertising
⚠️ No automatic data deletion

**Your Rights:**
✅ Can delete data
✅ Can export data (Google Takeout)

**Recommendations:**
1. Disable location tracking
2. Opt out of personalized ads
3. Export your data regularly

text

My kid wants to install TikTok. Is it safe?

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

Privacy Agent Skill

Analyze privacy policies and generate plain-language reports with GDPR request templates.

Description

Privacy Agent is an agentic AI assistant that autonomously:

Fetches privacy policies from websites
Analyzes them for data collection, sharing, and retention practices
Generates plain-language reports with risk scores
Creates GDPR-compliant data request templates

What makes this agentic:

Autonomous data fetching (web_fetch)
Multi-step reasoning (extract → analyze → report → action)
Tool orchestration (OpenClaw's web tools)
Action generation (GDPR requests)

Usage

Basic Analysis

Ask the agent:

Analyze Google's privacy policy

The agent will:

Fetch the policy from the web
Extract key privacy concerns
Generate a risk-scored report
Create a GDPR data request template

Multi-Service Comparison

Compare privacy policies for Google, Facebook, and Amazon

Specific Questions

Does TikTok sell user data?
Can I delete my data from Netflix?
What location data does Uber collect?

Tools Required

web_fetch - Fetch privacy policy content
web_search - Find policy URLs (optional)

Output

The agent generates:

Privacy Analysis Report (Markdown)
- Risk score (1-10)
- Data collection summary
- Data sharing practices
- User rights (delete, export)
- Key concerns
GDPR Request Template (Text)
- Compliant with GDPR Article 15
- Ready to send

Examples

Example 1: Google Privacy Analysis

Input:

Analyze Google's privacy policy

Output:

# Google Privacy Analysis

**Risk Score:** 7/10 🔴

**Data Collection:**
- Location data (GPS, Wi-Fi, cell towers)
- Voice and audio recordings
- Browsing history
- Search queries
- Contacts and communications

**Key Concerns:**
⚠️ Extensive data collection including precise location
⚠️ Data used for personalized advertising
⚠️ No automatic data deletion

**Your Rights:**
✅ Can delete data
✅ Can export data (Google Takeout)

**Recommendations:**
1. Disable location tracking
2. Opt out of personalized ads
3. Export your data regularly

Example 2: TikTok Safety Check

Input:

My kid wants to install TikTok. Is it safe?

Output:

TikTok Privacy Analysis:
- Collects location data and shares with advertisers
- Minimum age: 13
- Tracks activity across third-party sites
- Risk score: 8/10 (high risk)

Recommendation: Consider age-appropriate alternatives with better privacy scores.

Advanced Features

Policy Monitoring (Planned)

Set up cron jobs to track policy changes:

Monitor privacy policies for Netflix, Spotify, and Dropbox

Conversational Interface

Ask follow-up questions:

User: "Analyze Google's privacy policy"
Agent: [generates report]
User: "How do I delete my data?"
Agent: "Here's the link and what to say..."

Installation

Via ClawHub:

clawhub install privacy-agent

Or manually:

cd ~/.openclaw/skills
git clone [privacy-agent-repo]

Configuration

No configuration required. Uses OpenClaw's built-in tools.

Optional: Set up Brave API key for web_search:

openclaw configure --section web

Real-World Use Cases

Personal Privacy Audit - Analyze multiple services at once
App Vetting for Parents - Check if apps are safe for kids
GDPR Compliance - Verify website compliance
Policy Monitoring - Track changes over time
Job Seeker Due Diligence - Check employer privacy practices

Technical Details

Backend: Node.js + Express Frontend: React + Vite Agent Framework: OpenClaw Tools: web_fetch, web_search AI Model: Claude Sonnet 4.5 (via OpenClaw)

Files

backend/ - Agent logic and API
frontend/ - React UI (optional)
SKILL.md - This file
README.md - Project overview
DEMO.md - Examples

License

MIT

Author

Built with OpenClaw

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

api_key

Streaming

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/snapshot"

curl -s "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract"

curl -s "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/trust"

Operational fit

Reliability & Benchmarks

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

No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

Verifiedcapability-contract

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/govindaraj-vadivelu/privacy-agent#input",
  "outputSchemaRef": "https://github.com/govindaraj-vadivelu/privacy-agent#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:43:04.031Z",
  "sourceUpdatedAt": "2026-02-24T19:43:04.031Z",
  "freshnessSeconds": 4439648
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T04:57:12.481Z"
    }
  },
  "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": "i",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "delete",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "export",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:i|supported|profile capability:delete|supported|profile capability:export|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Govindaraj Vadivelu",
    "href": "https://github.com/govindaraj-vadivelu/privacy-agent",
    "sourceUrl": "https://github.com/govindaraj-vadivelu/privacy-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:21:22.124Z",
    "isPublic": true
  },
  {
    "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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:04.031Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:04.031Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/govindaraj-vadivelu/privacy-agent#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:43:04.031Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/govindaraj-vadivelu-privacy-agent/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
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

Privacy Agent Skill

Description

Usage

Basic Analysis

Multi-Service Comparison

Specific Questions

Tools Required

Output

Examples

Example 1: Google Privacy Analysis

Example 2: TikTok Safety Check

Advanced Features

Policy Monitoring (Planned)

Conversational Interface

Installation

Configuration

Real-World Use Cases

Technical Details

Files

License

Author

Links

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

Machine Appendix