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
Crawler Summary
AI Tarot Reader — draw cards, generate mystical tarot imagery, and deliver readings across messaging channels via OpenClaw --- name: clavtarot description: AI Tarot Reader — draw cards, generate mystical tarot imagery, and deliver readings across messaging channels via OpenClaw allowed-tools: Bash(npm:*) Bash(npx:*) Bash(openclaw:*) Bash(curl:*) Bash(jq:*) Bash(node:*) Read Write WebFetch --- ClavTarot — AI Tarot Reader A complete 78-card Rider-Waite tarot reading skill for OpenClaw. Draw cards, generate stunning AI tarot card imagery vi Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.
Freshness
Last checked 3/1/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
clavtarot 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
AI Tarot Reader — draw cards, generate mystical tarot imagery, and deliver readings across messaging channels via OpenClaw --- name: clavtarot description: AI Tarot Reader — draw cards, generate mystical tarot imagery, and deliver readings across messaging channels via OpenClaw allowed-tools: Bash(npm:*) Bash(npx:*) Bash(openclaw:*) Bash(curl:*) Bash(jq:*) Bash(node:*) Read Write WebFetch --- ClavTarot — AI Tarot Reader A complete 78-card Rider-Waite tarot reading skill for OpenClaw. Draw cards, generate stunning AI tarot card imagery vi
Public facts
6
Change events
1
Artifacts
0
Freshness
Mar 1, 2026
Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Mar 1, 2026
Vendor
94090397
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.
Setup snapshot
git clone https://github.com/94090397/clavtarot.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
94090397
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
FAL_KEY=your_fal_api_key # Get from https://fal.ai/dashboard/keys OPENCLAW_GATEWAY_TOKEN=your_token # From: openclaw doctor --generate-gateway-token
bash
# Read the tarot deck data DECK=$(cat ~/.openclaw/skills/clavtarot/data/tarot-cards.json) # Get total card count (78 cards: 22 major + 56 minor) TOTAL_CARDS=78 # Random card index (0-77) CARD_INDEX=$((RANDOM % TOTAL_CARDS)) # Random orientation (0 = upright, 1 = reversed) ORIENTATION=$((RANDOM % 2)) ORIENTATION_NAME=$([ $ORIENTATION -eq 0 ] && echo "upright" || echo "reversed")
bash
node -e "
const deck = require('$HOME/.openclaw/skills/clavtarot/data/tarot-cards.json');
// Collect all cards into a flat array
const allCards = [
...deck.majorArcana,
...deck.minorArcana.wands.cards,
...deck.minorArcana.cups.cards,
...deck.minorArcana.swords.cards,
...deck.minorArcana.pentacles.cards
];
// Draw N random unique cards
function drawCards(n) {
const shuffled = [...allCards].sort(() => Math.random() - 0.5);
return shuffled.slice(0, n).map(card => ({
...card,
reversed: Math.random() > 0.5,
}));
}
// Single card draw
const [card] = drawCards(1);
const orientation = card.reversed ? 'reversed' : 'upright';
const meaning = card[orientation];
console.log(JSON.stringify({
name: card.name,
orientation,
keywords: meaning.keywords,
meaning: meaning.meaning,
love: meaning.love,
career: meaning.career,
health: meaning.health,
imagePrompt: card.imagePrompt
}, null, 2));
"bash
node -e "
const deck = require('$HOME/.openclaw/skills/clavtarot/data/tarot-cards.json');
const allCards = [
...deck.majorArcana,
...deck.minorArcana.wands.cards,
...deck.minorArcana.cups.cards,
...deck.minorArcana.swords.cards,
...deck.minorArcana.pentacles.cards
];
const spreadType = '${1:-threeCard}'; // single, threeCard, celticCross, love, career
const spread = deck.spreads[spreadType];
function drawCards(n) {
const shuffled = [...allCards].sort(() => Math.random() - 0.5);
return shuffled.slice(0, n).map(card => ({
...card,
reversed: Math.random() > 0.5,
}));
}
const cards = drawCards(spread.positions);
const reading = cards.map((card, i) => {
const orientation = card.reversed ? 'reversed' : 'upright';
return {
position: spread.positionNames[i],
name: card.name,
orientation,
keywords: card[orientation].keywords,
meaning: card[orientation].meaning,
imagePrompt: card.imagePrompt
};
});
console.log(JSON.stringify({
spread: spread.name,
description: spread.description,
cards: reading
}, null, 2));
"bash
# Card's image prompt from the deck data
CARD_PROMPT="The Fool tarot card, a young traveler at the edge of a cliff with a white rose, small dog at feet, bright sun, mystical art nouveau style, gold and violet tones"
# Add universal style prefix for consistency
FULL_PROMPT="A beautifully illustrated tarot card in ornate gold frame with mystical symbols. $CARD_PROMPT. High detail, rich colors, mystical atmosphere, digital painting quality."
# For reversed cards, add note
# FULL_PROMPT="$FULL_PROMPT The card is shown inverted (upside down)."
# Generate via fal.ai
JSON_PAYLOAD=$(jq -n \
--arg prompt "$FULL_PROMPT" \
'{prompt: $prompt, num_images: 1, image_size: "portrait_4_3", output_format: "jpeg"}')
RESPONSE=$(curl -s -X POST "https://fal.run/fal-ai/flux/schnell" \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d "$JSON_PAYLOAD")
IMAGE_URL=$(echo "$RESPONSE" | jq -r '.images[0].url')
echo "Generated card image: $IMAGE_URL"bash
JSON_PAYLOAD=$(jq -n \
--arg prompt "$FULL_PROMPT" \
'{prompt: $prompt, num_images: 1, output_format: "jpeg"}')
RESPONSE=$(curl -s -X POST "https://fal.run/xai/grok-imagine-image" \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d "$JSON_PAYLOAD")
IMAGE_URL=$(echo "$RESPONSE" | jq -r '.images[0].url')Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
AI Tarot Reader — draw cards, generate mystical tarot imagery, and deliver readings across messaging channels via OpenClaw --- name: clavtarot description: AI Tarot Reader — draw cards, generate mystical tarot imagery, and deliver readings across messaging channels via OpenClaw allowed-tools: Bash(npm:*) Bash(npx:*) Bash(openclaw:*) Bash(curl:*) Bash(jq:*) Bash(node:*) Read Write WebFetch --- ClavTarot — AI Tarot Reader A complete 78-card Rider-Waite tarot reading skill for OpenClaw. Draw cards, generate stunning AI tarot card imagery vi
A complete 78-card Rider-Waite tarot reading skill for OpenClaw. Draw cards, generate stunning AI tarot card imagery via fal.ai, and deliver mystical readings across all messaging platforms.
The skill includes a complete 78-card deck stored in data/tarot-cards.json:
imagePrompt for AI image generationFAL_KEY=your_fal_api_key # Get from https://fal.ai/dashboard/keys
OPENCLAW_GATEWAY_TOKEN=your_token # From: openclaw doctor --generate-gateway-token
# Read the tarot deck data
DECK=$(cat ~/.openclaw/skills/clavtarot/data/tarot-cards.json)
# Get total card count (78 cards: 22 major + 56 minor)
TOTAL_CARDS=78
# Random card index (0-77)
CARD_INDEX=$((RANDOM % TOTAL_CARDS))
# Random orientation (0 = upright, 1 = reversed)
ORIENTATION=$((RANDOM % 2))
ORIENTATION_NAME=$([ $ORIENTATION -eq 0 ] && echo "upright" || echo "reversed")
node -e "
const deck = require('$HOME/.openclaw/skills/clavtarot/data/tarot-cards.json');
// Collect all cards into a flat array
const allCards = [
...deck.majorArcana,
...deck.minorArcana.wands.cards,
...deck.minorArcana.cups.cards,
...deck.minorArcana.swords.cards,
...deck.minorArcana.pentacles.cards
];
// Draw N random unique cards
function drawCards(n) {
const shuffled = [...allCards].sort(() => Math.random() - 0.5);
return shuffled.slice(0, n).map(card => ({
...card,
reversed: Math.random() > 0.5,
}));
}
// Single card draw
const [card] = drawCards(1);
const orientation = card.reversed ? 'reversed' : 'upright';
const meaning = card[orientation];
console.log(JSON.stringify({
name: card.name,
orientation,
keywords: meaning.keywords,
meaning: meaning.meaning,
love: meaning.love,
career: meaning.career,
health: meaning.health,
imagePrompt: card.imagePrompt
}, null, 2));
"
node -e "
const deck = require('$HOME/.openclaw/skills/clavtarot/data/tarot-cards.json');
const allCards = [
...deck.majorArcana,
...deck.minorArcana.wands.cards,
...deck.minorArcana.cups.cards,
...deck.minorArcana.swords.cards,
...deck.minorArcana.pentacles.cards
];
const spreadType = '${1:-threeCard}'; // single, threeCard, celticCross, love, career
const spread = deck.spreads[spreadType];
function drawCards(n) {
const shuffled = [...allCards].sort(() => Math.random() - 0.5);
return shuffled.slice(0, n).map(card => ({
...card,
reversed: Math.random() > 0.5,
}));
}
const cards = drawCards(spread.positions);
const reading = cards.map((card, i) => {
const orientation = card.reversed ? 'reversed' : 'upright';
return {
position: spread.positionNames[i],
name: card.name,
orientation,
keywords: card[orientation].keywords,
meaning: card[orientation].meaning,
imagePrompt: card.imagePrompt
};
});
console.log(JSON.stringify({
spread: spread.name,
description: spread.description,
cards: reading
}, null, 2));
"
For each card drawn, generate a stunning tarot card image using fal.ai:
# Card's image prompt from the deck data
CARD_PROMPT="The Fool tarot card, a young traveler at the edge of a cliff with a white rose, small dog at feet, bright sun, mystical art nouveau style, gold and violet tones"
# Add universal style prefix for consistency
FULL_PROMPT="A beautifully illustrated tarot card in ornate gold frame with mystical symbols. $CARD_PROMPT. High detail, rich colors, mystical atmosphere, digital painting quality."
# For reversed cards, add note
# FULL_PROMPT="$FULL_PROMPT The card is shown inverted (upside down)."
# Generate via fal.ai
JSON_PAYLOAD=$(jq -n \
--arg prompt "$FULL_PROMPT" \
'{prompt: $prompt, num_images: 1, image_size: "portrait_4_3", output_format: "jpeg"}')
RESPONSE=$(curl -s -X POST "https://fal.run/fal-ai/flux/schnell" \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d "$JSON_PAYLOAD")
IMAGE_URL=$(echo "$RESPONSE" | jq -r '.images[0].url')
echo "Generated card image: $IMAGE_URL"
JSON_PAYLOAD=$(jq -n \
--arg prompt "$FULL_PROMPT" \
'{prompt: $prompt, num_images: 1, output_format: "jpeg"}')
RESPONSE=$(curl -s -X POST "https://fal.run/xai/grok-imagine-image" \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d "$JSON_PAYLOAD")
IMAGE_URL=$(echo "$RESPONSE" | jq -r '.images[0].url')
# Send the reading with the card image
openclaw message send \
--action send \
--channel "$CHANNEL" \
--message "$READING_TEXT" \
--media "$IMAGE_URL"
curl -X POST "http://localhost:18789/message" \
-H "Authorization: Bearer $OPENCLAW_GATEWAY_TOKEN" \
-H "Content-Type: application/json" \
-d "{
\"action\": \"send\",
\"channel\": \"$CHANNEL\",
\"message\": \"$READING_TEXT\",
\"media\": \"$IMAGE_URL\"
}"
#!/bin/bash
# draw-card.sh — Draw a single tarot card with image generation
if [ -z "$FAL_KEY" ]; then
echo "Error: FAL_KEY not set"
exit 1
fi
CHANNEL="${1:-}"
TOPIC="${2:-general}"
# Draw a random card
CARD_DATA=$(node -e "
const deck = require('$HOME/.openclaw/skills/clavtarot/data/tarot-cards.json');
const allCards = [
...deck.majorArcana,
...deck.minorArcana.wands.cards,
...deck.minorArcana.cups.cards,
...deck.minorArcana.swords.cards,
...deck.minorArcana.pentacles.cards
];
const card = allCards[Math.floor(Math.random() * allCards.length)];
const reversed = Math.random() > 0.5;
const orientation = reversed ? 'reversed' : 'upright';
console.log(JSON.stringify({
name: card.name,
orientation,
keywords: card[orientation].keywords,
meaning: card[orientation].meaning,
imagePrompt: card.imagePrompt
}));
")
CARD_NAME=$(echo "$CARD_DATA" | jq -r '.name')
ORIENTATION=$(echo "$CARD_DATA" | jq -r '.orientation')
MEANING=$(echo "$CARD_DATA" | jq -r '.meaning')
KEYWORDS=$(echo "$CARD_DATA" | jq -r '.keywords | join(", ")')
IMAGE_BASE=$(echo "$CARD_DATA" | jq -r '.imagePrompt')
echo "Drew: $CARD_NAME ($ORIENTATION)"
# Generate card image
FULL_PROMPT="A beautifully illustrated tarot card in ornate gold frame with mystical symbols. $IMAGE_BASE. High detail, rich colors, mystical atmosphere, digital painting quality."
JSON_PAYLOAD=$(jq -n \
--arg prompt "$FULL_PROMPT" \
'{prompt: $prompt, num_images: 1, image_size: "portrait_4_3", output_format: "jpeg"}')
RESPONSE=$(curl -s -X POST "https://fal.run/fal-ai/flux/schnell" \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d "$JSON_PAYLOAD")
IMAGE_URL=$(echo "$RESPONSE" | jq -r '.images[0].url')
if [ "$IMAGE_URL" == "null" ] || [ -z "$IMAGE_URL" ]; then
echo "Warning: Image generation failed, sending text-only reading"
IMAGE_URL=""
fi
# Format reading
READING="🔮 **$CARD_NAME** — _${ORIENTATION}_
✨ _${KEYWORDS}_
$MEANING"
echo "$READING"
# Send if channel specified
if [ -n "$CHANNEL" ]; then
if [ -n "$IMAGE_URL" ]; then
openclaw message send --action send --channel "$CHANNEL" --message "$READING" --media "$IMAGE_URL"
else
openclaw message send --action send --channel "$CHANNEL" --message "$READING"
fi
echo "Sent to $CHANNEL"
fi
#!/bin/bash
# three-card-spread.sh — Past / Present / Future reading
if [ -z "$FAL_KEY" ]; then
echo "Error: FAL_KEY not set"
exit 1
fi
CHANNEL="${1:-}"
# Draw 3 unique cards
SPREAD_DATA=$(node -e "
const deck = require('$HOME/.openclaw/skills/clavtarot/data/tarot-cards.json');
const allCards = [
...deck.majorArcana,
...deck.minorArcana.wands.cards,
...deck.minorArcana.cups.cards,
...deck.minorArcana.swords.cards,
...deck.minorArcana.pentacles.cards
];
const shuffled = [...allCards].sort(() => Math.random() - 0.5);
const positions = ['Past', 'Present', 'Future'];
const cards = shuffled.slice(0, 3).map((card, i) => {
const reversed = Math.random() > 0.5;
const orientation = reversed ? 'reversed' : 'upright';
return {
position: positions[i],
name: card.name,
orientation,
keywords: card[orientation].keywords,
meaning: card[orientation].meaning,
imagePrompt: card.imagePrompt
};
});
console.log(JSON.stringify(cards));
")
echo "Three Card Spread drawn!"
# Generate images and build reading for each card
FULL_READING="🔮 **Three Card Spread — Past / Present / Future**\n\n"
for i in 0 1 2; do
CARD=$(echo "$SPREAD_DATA" | jq ".[$i]")
POSITION=$(echo "$CARD" | jq -r '.position')
NAME=$(echo "$CARD" | jq -r '.name')
ORIENT=$(echo "$CARD" | jq -r '.orientation')
MEANING=$(echo "$CARD" | jq -r '.meaning')
KEYWORDS=$(echo "$CARD" | jq -r '.keywords | join(", ")')
IMAGE_BASE=$(echo "$CARD" | jq -r '.imagePrompt')
FULL_READING="${FULL_READING}**${POSITION}: ${NAME}** — _${ORIENT}_\n✨ _${KEYWORDS}_\n${MEANING}\n\n"
# Generate image
FULL_PROMPT="A beautifully illustrated tarot card in ornate gold frame. $IMAGE_BASE. High detail, rich colors, mystical atmosphere."
JSON_PAYLOAD=$(jq -n --arg prompt "$FULL_PROMPT" '{prompt: $prompt, num_images: 1, image_size: "portrait_4_3", output_format: "jpeg"}')
RESPONSE=$(curl -s -X POST "https://fal.run/fal-ai/flux/schnell" \
-H "Authorization: Key $FAL_KEY" \
-H "Content-Type: application/json" \
-d "$JSON_PAYLOAD")
IMG=$(echo "$RESPONSE" | jq -r '.images[0].url')
if [ -n "$CHANNEL" ] && [ "$IMG" != "null" ]; then
openclaw message send --action send --channel "$CHANNEL" --message "**${POSITION}: ${NAME}** (${ORIENT})" --media "$IMG"
fi
done
# Send full reading text
if [ -n "$CHANNEL" ]; then
echo -e "$FULL_READING" | openclaw message send --action send --channel "$CHANNEL" --message "$(echo -e "$FULL_READING")"
fi
echo -e "$FULL_READING"
| Platform | Channel Format | Example |
|----------|----------------|---------|
| Discord | #channel-name or channel ID | #tarot, 123456789 |
| Telegram | @username or chat ID | @mystic, -100123456 |
| WhatsApp | Phone number (JID) | 1234567890@s.whatsapp.net |
| Slack | #channel-name | #divination |
| Signal | Phone number | +1234567890 |
| MS Teams | Channel reference | (varies) |
openclaw.jsonpersona.json customizes the reading styleMachine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://xpersona.co/api/v1/agents/94090397-clavtarot/snapshot"
curl -s "https://xpersona.co/api/v1/agents/94090397-clavtarot/contract"
curl -s "https://xpersona.co/api/v1/agents/94090397-clavtarot/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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 6d ago
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"api_key"
],
"requires": [
"openclew",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/94090397/clavtarot#input",
"outputSchemaRef": "https://github.com/94090397/clavtarot#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:42:12.350Z",
"sourceUpdatedAt": "2026-02-24T19:42:12.350Z",
"freshnessSeconds": 4434640
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/94090397-clavtarot/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/94090397-clavtarot/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/94090397-clavtarot/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/94090397-clavtarot/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/94090397-clavtarot/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/94090397-clavtarot/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T03:32:52.382Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|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": "94090397",
"href": "https://github.com/94090397/clavtarot",
"sourceUrl": "https://github.com/94090397/clavtarot",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-03-01T06:03:43.593Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/94090397-clavtarot/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/94090397-clavtarot/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-24T19:42:12.350Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "api_key",
"href": "https://xpersona.co/api/v1/agents/94090397-clavtarot/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/94090397-clavtarot/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:42:12.350Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/94090397/clavtarot#input",
"sourceUrl": "https://xpersona.co/api/v1/agents/94090397-clavtarot/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:42:12.350Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/94090397-clavtarot/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/94090397-clavtarot/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
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