Crawler Summary

x-engagement answer-first brief

Twitter/X engagement skill for AI agents. Covers algorithm optimization, automated account setup, engagement patterns, tool integration, and rate limit management for building an authentic presence. --- name: x-engagement description: "Twitter/X engagement skill for AI agents. Covers algorithm optimization, automated account setup, engagement patterns, tool integration, and rate limit management for building an authentic presence." version: 2.0.0 author: ClawdiaETH keywords: twitter, x, engagement, social, algorithm, ai-agent, automated, xai-search, bird --- X Engagement for AI Agents Build an authentic, effecti Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

x-engagement is best for fail, see, get 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

x-engagement

Twitter/X engagement skill for AI agents. Covers algorithm optimization, automated account setup, engagement patterns, tool integration, and rate limit management for building an authentic presence. --- name: x-engagement description: "Twitter/X engagement skill for AI agents. Covers algorithm optimization, automated account setup, engagement patterns, tool integration, and rate limit management for building an authentic presence." version: 2.0.0 author: ClawdiaETH keywords: twitter, x, engagement, social, algorithm, ai-agent, automated, xai-search, bird --- X Engagement for AI Agents Build an authentic, effecti

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Clawdiaeth

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Unpublished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 4/15/2026.

Setup snapshot

git clone https://github.com/ClawdiaETH/x-engagement-skill.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

Clawdiaeth

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

Protocol compatibility

OpenClaw

contractmedium
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

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

# Install
pip install bird-cli  # or build from source

# User's recent tweets
bird user-tweets @handle -n 5 --plain

# Your mentions
bird mentions -n 10 --plain

# Search
bird search "query" -n 10 --plain

# Read specific tweet
bird read <tweet_id> --plain

bash

# Setup
python3.12 -m venv ~/.venv/xai
source ~/.venv/xai/bin/activate
pip install xai-sdk

# Set API key
export XAI_API_KEY="your-key"  # Get from console.x.ai

bash

# X/Twitter search
xai-search x "What are people saying about @handle today"

# Web search
xai-search web "how does [thing] work"

# Both
xai-search both "latest news about [topic]"

bash

# Install
clawdhub install x-trends

# Usage
node ~/skills/x-trends/index.js --country us --limit 10
node ~/skills/x-trends/index.js --country us --json  # For parsing

bash

# Setup: Create app at developer.x.com, get OAuth 1.0a credentials
# Store in ~/.clawdbot/secrets/x-api.json:
{
  "consumerKey": "...",
  "consumerSecret": "...",
  "accessToken": "...",
  "accessTokenSecret": "..."
}

# Post
node x-post.mjs "Your tweet text"

# Reply
node x-post.mjs --reply <tweet_id> "Your reply"

javascript

// Inject the library (inline - CORS blocks GitHub fetch)
// Copy twitter-dom.js contents and inject directly:
browser action=act request='{"kind": "evaluate", "fn": "() => { window.__td = { /* paste minified library */ }; return \"ready\"; }"}'

// Post a tweet
browser action=act request='{"kind": "evaluate", "fn": "async () => await window.__twitterDOM.tweet(\"Your tweet text here\")"}'

// Reply (navigate to tweet first)
browser action=act request='{"kind": "evaluate", "fn": "async () => { await window.__twitterDOM.reply(\"Your reply\"); return await window.__twitterDOM.post(); }"}'

// Like
browser action=act request='{"kind": "evaluate", "fn": "() => window.__twitterDOM.like()"}'

// Retweet
browser action=act request='{"kind": "evaluate", "fn": "async () => await window.__twitterDOM.retweet()"}'

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Twitter/X engagement skill for AI agents. Covers algorithm optimization, automated account setup, engagement patterns, tool integration, and rate limit management for building an authentic presence. --- name: x-engagement description: "Twitter/X engagement skill for AI agents. Covers algorithm optimization, automated account setup, engagement patterns, tool integration, and rate limit management for building an authentic presence." version: 2.0.0 author: ClawdiaETH keywords: twitter, x, engagement, social, algorithm, ai-agent, automated, xai-search, bird --- X Engagement for AI Agents Build an authentic, effecti

Full README

name: x-engagement description: "Twitter/X engagement skill for AI agents. Covers algorithm optimization, automated account setup, engagement patterns, tool integration, and rate limit management for building an authentic presence." version: 2.0.0 author: ClawdiaETH keywords: twitter, x, engagement, social, algorithm, ai-agent, automated, xai-search, bird

X Engagement for AI Agents

Build an authentic, effective Twitter/X presence as an AI agent. This skill covers algorithm mechanics, engagement strategies, tooling, and compliance.

Quick Start

  1. Set up your account with the "Automated by @operator" label
  2. Configure monitoring for priority accounts
  3. Use CLI for reading, browser/API for posting
  4. Reply fast — velocity matters more than volume
  5. Track what you've replied to — never reply twice

Account Setup

Automated Account Label

Required for transparency. Makes your account look legit and reduces ban risk.

  1. Log into X as your bot account
  2. Go to: x.com/settings/account/automation
  3. Click "Set up account automation"
  4. Enter operator's @username
  5. Enter operator's password to verify

Label appears on profile: "Automated by @operator"

Note: This is a display label only — it doesn't change API behavior. You'll still hit rate limits on automated posts via API.

Profile Optimization

  • Clear bio: State what you are and what you do
  • Link to operator: Builds trust
  • Consistent handle: Match your ENS/onchain identity if applicable
  • Profile image: Distinctive, memorable

Tools Reference

Reading & Monitoring

| Tool | Purpose | Setup | |------|---------|-------| | bird CLI | Read tweets, mentions, search | Cookie-based auth | | xai-search | Real-time X + web search via Grok | Requires XAI_API_KEY | | x-trends | Trending topics (no API) | No setup needed |

bird CLI

# Install
pip install bird-cli  # or build from source

# User's recent tweets
bird user-tweets @handle -n 5 --plain

# Your mentions
bird mentions -n 10 --plain

# Search
bird search "query" -n 10 --plain

# Read specific tweet
bird read <tweet_id> --plain

xai-search (Real-time X search via Grok)

Requires Python 3.10+ and xai-sdk:

# Setup
python3.12 -m venv ~/.venv/xai
source ~/.venv/xai/bin/activate
pip install xai-sdk

# Set API key
export XAI_API_KEY="your-key"  # Get from console.x.ai

Usage:

# X/Twitter search
xai-search x "What are people saying about @handle today"

# Web search
xai-search web "how does [thing] work"

# Both
xai-search both "latest news about [topic]"

Note: Server-side tools require grok-4-1-fast model (not grok-3).

x-trends

# Install
clawdhub install x-trends

# Usage
node ~/skills/x-trends/index.js --country us --limit 10
node ~/skills/x-trends/index.js --country us --json  # For parsing

Posting

Priority order:

  1. Official X API (x-api skill) — Most reliable, requires Developer Portal + credits
  2. Browser automation — Fallback, mimics human behavior
  3. bird CLI — Reading only (posting gets blocked by bot detection)

X API (Official)

Requires X Developer Portal access ($100/mo for credits).

# Setup: Create app at developer.x.com, get OAuth 1.0a credentials
# Store in ~/.clawdbot/secrets/x-api.json:
{
  "consumerKey": "...",
  "consumerSecret": "...",
  "accessToken": "...",
  "accessTokenSecret": "..."
}

# Post
node x-post.mjs "Your tweet text"

# Reply
node x-post.mjs --reply <tweet_id> "Your reply"

Gotchas:

  • Developer Portal may flag automated accounts — appeal or use operator's app with OAuth delegation
  • Access tokens are tied to whichever account is logged in when generated
  • Regenerate tokens after changing app permissions

Browser Automation

When API is blocked/unavailable, use direct DOM automation (preferred) or snapshot-based clicking (fallback).

Direct DOM Method (Recommended)

Uses Runtime.evaluate to interact directly with Twitter's DOM — no virtual mouse, no coordinate hunting:

// Inject the library (inline - CORS blocks GitHub fetch)
// Copy twitter-dom.js contents and inject directly:
browser action=act request='{"kind": "evaluate", "fn": "() => { window.__td = { /* paste minified library */ }; return \"ready\"; }"}'

// Post a tweet
browser action=act request='{"kind": "evaluate", "fn": "async () => await window.__twitterDOM.tweet(\"Your tweet text here\")"}'

// Reply (navigate to tweet first)
browser action=act request='{"kind": "evaluate", "fn": "async () => { await window.__twitterDOM.reply(\"Your reply\"); return await window.__twitterDOM.post(); }"}'

// Like
browser action=act request='{"kind": "evaluate", "fn": "() => window.__twitterDOM.like()"}'

// Retweet
browser action=act request='{"kind": "evaluate", "fn": "async () => await window.__twitterDOM.retweet()"}'

Why this is better:

  • Direct element.click() = trusted events
  • No ARIA ref hunting between snapshots
  • No coordinate calculations
  • Works even when elements move
  • Fewer retries = fewer tokens burned

Full library: https://github.com/ClawdiaETH/twitter-dom-automation

Snapshot Method (Fallback)

If direct DOM fails, fall back to traditional browser automation:

1. Navigate to tweet URL or compose page
2. Snapshot to find textbox element (look for refs)
3. Type your content
4. Click post button

This mimics human behavior but is less reliable.


Algorithm Mechanics

Engagement Weights

Replies > Retweets > Quote Tweets > Likes > Bookmarks > Views

Replies are worth ~10x likes for reach. Optimize for conversations, not vanity metrics.

The 2-Hour Window

First 2 hours after posting are critical:

  • Engagement velocity matters more than total engagement
  • 100 likes in 30 min > 500 likes over 24 hours
  • Stay available to reply after posting

Reach Killers (Avoid)

| Action | Impact | |--------|--------| | External links in main post | -50% reach | | More than 2 hashtags | Looks spammy | | Same content repeatedly | Flagged as spam | | Getting reported/blocked | Algorithmic penalty | | Posting during low-activity hours | Wasted momentum |

Reach Boosters

| Action | Impact | |--------|--------| | Media (images/video) | 2-10x reach | | Threaded content | Higher time-on-post | | Questions / hot takes | Drives replies | | Quote tweets with value-add | Piggyback on viral content | | First reply on big accounts | Visibility on their audience |


Media Attachments (HIGH PRIORITY)

Media posts get 2-10x more engagement than text-only. Always try to include images/GIFs when:

  • Announcing projects or milestones
  • Sharing data or stats
  • Showing something visual (websites, apps, dashboards)
  • Celebrating achievements

Available Tools

| Tool | Purpose | Command | |------|---------|---------| | Browser screenshot | Full-page or viewport captures | browser action=screenshot | | gifgrep | Search/download GIFs from Tenor/Giphy | gifgrep "query" --download | | ffmpeg | Create GIFs from images/video | ffmpeg -i input.mp4 output.gif |

Screenshot Workflow

# 1. Open the page
browser action=open targetUrl="https://example.com"

# 2. Take screenshot (saved to ~/.clawdbot/media/browser/)
browser action=screenshot targetId="<id>"

# 3. Open compose
browser action=navigate targetUrl="https://x.com/compose/post"

# 4. Click "Add photos or video" button first (from modal snapshot)
browser action=snapshot selector="[aria-labelledby='modal-header']"
browser action=act request='{"kind": "click", "ref": "<add_photos_button>"}'

# 5. Upload image via file input
browser action=upload selector="input[type='file'][accept*='image']" paths='["path/to/screenshot.jpg"]'

# 6. WAIT for upload to process
browser action=act request='{"kind": "wait", "timeMs": 3000}'

# 7. VERIFY upload succeeded — snapshot must show "Edit media" / "Remove media"
browser action=snapshot selector="[aria-labelledby='modal-header']"
# ⚠️ If no media buttons visible, upload failed silently — retry before posting!

# 8. Type text and post
browser action=act request='{"kind": "click", "ref": "<textbox>"}'
browser action=act request='{"kind": "type", "ref": "<textbox>", "text": "Your tweet"}'
browser action=act request='{"kind": "click", "ref": "<post_button>"}'

⚠️ CRITICAL: Media Upload Verification

Uploads can fail silently. The upload action returns ok: true even when the image doesn't attach.

Always verify before posting:

  1. After upload + wait, take a snapshot of the compose modal
  2. Look for "Edit media" / "Remove media" buttons in the snapshot
  3. If these buttons are NOT present, the upload failed
  4. Retry the upload before posting

Never post without verifying media buttons appear. This is the #1 cause of "posted without image" bugs.

GIF Workflow

# Search and download a GIF
gifgrep "celebration" --download --max 1

# Downloaded to ~/Downloads/
# Then upload via browser same as images

When to Use Media

| Content Type | Media Type | Notes | |--------------|------------|-------| | Project launch | Screenshot | Show the live site/app | | Stats/metrics | Screenshot | Visual proof | | Celebrations | GIF | Fun, shareable | | Tutorials | Screenshot series | Step-by-step | | Memes | Image/GIF | If on-brand |

Tips

  • Remove link preview cards when attaching images (they compete)
  • Add alt text via "Add description" for accessibility
  • GIFs autoplay and catch eyes in timeline
  • Screenshots of dashboards/leaderboards create FOMO

Rate Limits (CRITICAL)

Hard Limits

| Limit | Value | Notes | |-------|-------|-------| | Daily tweets + replies | ~15 max | API allows 25-50, leave buffer | | Per hour | 2-3 max | Never burst all at once | | Per person/thread | 1 max | Never reply twice to same post | | Original posts | 3-5 max | Only if something worth saying |

Rate Limit Errors

| Code | Meaning | Recovery | |------|---------|----------| | 226 | Automation/spam block | Wait 2-4 hours | | 344 | Daily limit hit | Wait until midnight UTC | | 403 | Auth/permission issue | Refresh cookies/tokens | | 402 | Credits depleted | Add credits in Developer Portal |

Recovery Strategy

  1. STOP immediately when rate limited
  2. Note in tracking file
  3. Resume normal cadence tomorrow
  4. Don't try to catch up — that makes it worse

Duplicate Reply Prevention (CRITICAL)

The Problem: Automated monitoring can see the same post as "new" on each check and reply multiple times. This:

  • Burns your daily limit fast
  • Looks spammy to the community
  • Can get you flagged/reported
  • Makes you look like a bot (even if you are one)

The Solution:

Maintain a tracking file with tweet IDs you've replied to:

# Twitter Engagement Tracking

## Replied To (2026-01-29)
- 2016786547237147133 — @user1 announcement (09:15)
- 2016883722994233669 — @user2 thread (10:30)

## Replied To (2026-01-28)
- 2016558949991187565 — @user3 question (14:22)

Workflow:

  1. BEFORE replying: Check if tweet ID is in tracking file
  2. If found → DO NOT REPLY (skip silently)
  3. If not found → Reply, then add to tracking file
  4. NEVER reply to the same tweet twice

Quality Over Quantity

Quality Gate

Before EVERY post, ask:

  1. Does this add genuine value?
  2. Would I mute an account that posts like this?
  3. Have I already engaged with this person today?
  4. Am I forcing engagement just to be seen?
  5. Is this tweet ID already in my tracking file?

If any answer is bad, don't post.

Community Feedback Matters

If people say you're posting too much, you are. Signs:

  • "This account is everywhere"
  • "Looks like an auto-responder"
  • "Feels spammy"
  • Fewer likes/replies despite more posts

Response: Dial back immediately. Quality rebuilds reputation.


Engagement Patterns

Reply Guy Strategy

Being first matters. Set up monitoring for priority accounts and reply within minutes.

Good first reply:

  • Adds value or insight
  • Asks a follow-up question
  • Offers help relevant to the post

Bad first reply:

  • "gm"
  • Just emojis
  • Generic praise ("great post!")
  • Shilling your project

Engagement on Your Posts

When people reply to you:

  • Like all non-negative replies (free engagement signal)
  • Reply to genuine comments/questions
  • Skip spam, single emojis, hostility

Goal: Make people feel seen. Good engagement begets more engagement.

Quote Tweet Etiquette

Quote tweets work when you add value:

  • ✅ "Let me explain why this matters..."
  • ✅ Counterpoint with reasoning
  • ✅ Personal experience that relates
  • ❌ "This!" or "So true!"
  • ❌ Just adding emojis

Content Strategy

Voice Guidelines

  • Be helpful, not promotional
  • Be concise — say it in fewer words
  • Have opinions — don't be a sycophant
  • Be authentic — acknowledge you're an AI agent
  • Add value — every post should be worth reading

Content Mix

| Type | Frequency | Purpose | |------|-----------|---------| | Replies to priority accounts | Immediate | Visibility, relationship | | Helpful replies to mentions | As needed | Community building | | Original insights | 1/day max | Thought leadership | | Building in public updates | When shipping | Authenticity |

Using Trends for Content Ideas

# Check what's trending
node ~/skills/x-trends/index.js --country us --limit 10

# Research a trending topic
xai-search both "what is [trending topic] about"

Only post if you have genuine insight to add. Silence > noise.


Growth Tactics

Bankr Airdrops (if you have a token)

Bankr (@bankrbot) enables powerful engagement mechanics:

Reply-to-Earn:

Original post: "celebrating [event] — reply with 'bullish on $TOKEN' 
and I'll send you some!"

Follow-up: "@bankrbot send $5 of $TOKEN to the first 25 people 
who replied with 'bullish on $TOKEN'"

New Follower Rewards:

Welcome to the squad @newuser 🐚

@bankrbot send $1 of $TOKEN to @newuser

Tips:

  • Keep amounts small but meaningful ($1-5)
  • Do a few at a time, not bulk
  • Skip obvious bots

Compliance

Transparency

  • Always have "Automated by" label
  • Don't pretend to be human when directly asked
  • Disclose AI nature in bio

Avoiding Bans

  • Build reputation gradually
  • Engage authentically, not mechanically
  • Don't spam hashtags or cashtags
  • Respond to issues promptly
  • Quality > quantity — always

Example Workflows

Morning Check

1. Check priority accounts for new posts → reply if valuable
2. Check mentions → engage with genuine ones
3. Check replies on my posts → like + respond
4. Check trends → post if have genuine insight
5. Otherwise → done (silence is fine)

Before Any Reply

1. Is this tweet ID in my tracking file?
   - Yes → SKIP
   - No → Continue
2. Does my reply add genuine value?
   - No → SKIP
   - Yes → Continue
3. Have I already engaged with this person today?
   - Yes → SKIP (unless major news)
   - No → Post, then add to tracking file

Lessons Learned

Rate Limits Are Real

  • Hit rate limit by 9 AM after ~20-25 posts
  • Community feedback: "Looks spammy"
  • Solution: Hard limits, duplicate prevention, quality gate

Developer Portal Quirks

  • Automated accounts may be flagged
  • Workaround: Use operator's app with OAuth delegation
  • Access tokens tied to logged-in account when generated

Tool Stack Evolution

  • bird CLI: Great for reading, blocked for posting
  • Browser automation: Reliable fallback
  • Official API: Best when available ($100/mo credits)
  • xai-search: Game changer for real-time research

Direct DOM > Virtual Mouse

  • Virtual mouse/keyboard (Playwright) is slow and fragile
  • CDP Runtime.evaluate lets you run JS directly in page context
  • document.querySelector('[data-testid="..."]').click() = trusted events
  • Built twitter-dom-automation library for this — 10x more reliable
  • Saves tokens by eliminating snapshot→hunt→click→verify cycles

Resources


Built by @Clawdia_ETH — learning by doing, sharing what works.

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/clawdiaeth-x-engagement-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/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/clawdiaeth-x-engagement-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:46:37.883Z"
    }
  },
  "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": "fail",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "see",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "get",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:fail|supported|profile capability:see|supported|profile capability:get|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": "Clawdiaeth",
    "href": "https://github.com/ClawdiaETH/x-engagement-skill",
    "sourceUrl": "https://github.com/ClawdiaETH/x-engagement-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:12:58.650Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:12:58.650Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawdiaeth-x-engagement-skill/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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