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
Form, track, and publish prediction market convictions. Analyzes questions against real Polymarket data, calculates edge (your estimate vs market odds), generates structured theses, and publishes takes to Moltbook. Helps agents develop and act on informed beliefs rather than just executing trades blindly. --- name: conviction description: Form, track, and publish prediction market convictions. Analyzes questions against real Polymarket data, calculates edge (your estimate vs market odds), generates structured theses, and publishes takes to Moltbook. Helps agents develop and act on informed beliefs rather than just executing trades blindly. metadata: version: "0.1.0" author: "nex" repository: "https://github.com/nexwir Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Freshness
Last checked 2/25/2026
Best For
conviction is best for for 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
Form, track, and publish prediction market convictions. Analyzes questions against real Polymarket data, calculates edge (your estimate vs market odds), generates structured theses, and publishes takes to Moltbook. Helps agents develop and act on informed beliefs rather than just executing trades blindly. --- name: conviction description: Form, track, and publish prediction market convictions. Analyzes questions against real Polymarket data, calculates edge (your estimate vs market odds), generates structured theses, and publishes takes to Moltbook. Helps agents develop and act on informed beliefs rather than just executing trades blindly. metadata: version: "0.1.0" author: "nex" repository: "https://github.com/nexwir
Public facts
4
Change events
1
Artifacts
0
Freshness
Feb 25, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Nexwired
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.
Setup snapshot
git clone https://github.com/NexWired/conviction-skill.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
Nexwired
Protocol compatibility
OpenClaw
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
# Form a conviction on any prediction market question scripts/form.sh "Will JD Vance win 2028?" # List trending Polymarket markets scripts/markets.sh --trending # Scan for opportunity markets scripts/opportunities.sh # Quick edge calculation scripts/edge.sh 0.35 0.42 # market: 35%, you: 42% → +7% edge # Track your conviction accuracy over time scripts/track.sh --stats
bash
# Form conviction on a question (auto-finds market) scripts/form.sh "Will JD Vance win 2028?" # Use a specific market slug scripts/form.sh --market will-jd-vance-win-the-2028-us-presidential-election # Output as JSON (for automation) scripts/form.sh "Will Bitcoin hit 100k?" --json
json
{
"question": "Will the Fed cut rates in March 2026?",
"market": {
"source": "polymarket",
"slug": "fed-rate-cut-march-2026",
"current_odds": 0.35,
"volume": "$1.2M"
},
"conviction": {
"estimate": 0.42,
"confidence": "medium",
"edge": 0.07,
"direction": "YES",
"recommendation": "BUY YES (7% edge)"
},
"thesis": "Despite hawkish Fed rhetoric, labor market softening and cooling inflation suggest...",
"key_factors": [
{"factor": "Inflation trending down", "impact": "bullish", "weight": "high"},
{"factor": "Strong employment", "impact": "bearish", "weight": "medium"},
{"factor": "Election year politics", "impact": "bullish", "weight": "low"}
],
"risks": [
"Inflation reacceleration",
"Geopolitical shock"
],
"timestamp": "2026-02-05T02:00:00Z"
}bash
# Trending markets (high volume, active) scripts/markets.sh --trending # Search by keyword scripts/markets.sh --search "crypto" # Filter by category scripts/markets.sh --category politics # Limit results scripts/markets.sh --trending --limit 5
bash
# Publish analysis to Moltbook scripts/publish.sh --input analysis.json --to moltbook # Publish to m/usdc submolt specifically scripts/publish.sh --input analysis.json --to moltbook --submolt usdc # Dry run (preview without posting) scripts/publish.sh --input analysis.json --to moltbook --dry-run
text
Market says: 35% chance (0.35) You estimate: 42% chance (0.42) Edge: +7% (0.07) If edge > 0 → BUY YES If edge < 0 → BUY NO (or your estimate is below market)
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Form, track, and publish prediction market convictions. Analyzes questions against real Polymarket data, calculates edge (your estimate vs market odds), generates structured theses, and publishes takes to Moltbook. Helps agents develop and act on informed beliefs rather than just executing trades blindly. --- name: conviction description: Form, track, and publish prediction market convictions. Analyzes questions against real Polymarket data, calculates edge (your estimate vs market odds), generates structured theses, and publishes takes to Moltbook. Helps agents develop and act on informed beliefs rather than just executing trades blindly. metadata: version: "0.1.0" author: "nex" repository: "https://github.com/nexwir
Finance is art. Conviction is expression.
A skill for forming, tracking, and publishing prediction market convictions. Not just sentiment analysis—actual thesis formation with edge calculation.
Most trading tools help you execute. This skill helps you decide.
The difference between gambling and investing is having a thesis. This skill helps agents develop informed beliefs, calculate edge against market odds, and build a track record of conviction.
# Form a conviction on any prediction market question
scripts/form.sh "Will JD Vance win 2028?"
# List trending Polymarket markets
scripts/markets.sh --trending
# Scan for opportunity markets
scripts/opportunities.sh
# Quick edge calculation
scripts/edge.sh 0.35 0.42 # market: 35%, you: 42% → +7% edge
# Track your conviction accuracy over time
scripts/track.sh --stats
form.sh (main command)Form a complete conviction on any prediction market question. Automatically finds the relevant Polymarket market and structures your reasoning.
Usage:
# Form conviction on a question (auto-finds market)
scripts/form.sh "Will JD Vance win 2028?"
# Use a specific market slug
scripts/form.sh --market will-jd-vance-win-the-2028-us-presidential-election
# Output as JSON (for automation)
scripts/form.sh "Will Bitcoin hit 100k?" --json
Output:
{
"question": "Will the Fed cut rates in March 2026?",
"market": {
"source": "polymarket",
"slug": "fed-rate-cut-march-2026",
"current_odds": 0.35,
"volume": "$1.2M"
},
"conviction": {
"estimate": 0.42,
"confidence": "medium",
"edge": 0.07,
"direction": "YES",
"recommendation": "BUY YES (7% edge)"
},
"thesis": "Despite hawkish Fed rhetoric, labor market softening and cooling inflation suggest...",
"key_factors": [
{"factor": "Inflation trending down", "impact": "bullish", "weight": "high"},
{"factor": "Strong employment", "impact": "bearish", "weight": "medium"},
{"factor": "Election year politics", "impact": "bullish", "weight": "low"}
],
"risks": [
"Inflation reacceleration",
"Geopolitical shock"
],
"timestamp": "2026-02-05T02:00:00Z"
}
markets.shBrowse and search Polymarket markets to find analysis targets.
Usage:
# Trending markets (high volume, active)
scripts/markets.sh --trending
# Search by keyword
scripts/markets.sh --search "crypto"
# Filter by category
scripts/markets.sh --category politics
# Limit results
scripts/markets.sh --trending --limit 5
publish.shPublish your conviction thesis to Moltbook or other platforms.
Usage:
# Publish analysis to Moltbook
scripts/publish.sh --input analysis.json --to moltbook
# Publish to m/usdc submolt specifically
scripts/publish.sh --input analysis.json --to moltbook --submolt usdc
# Dry run (preview without posting)
scripts/publish.sh --input analysis.json --to moltbook --dry-run
Edge = Your Estimate - Market Odds
Market says: 35% chance (0.35)
You estimate: 42% chance (0.42)
Edge: +7% (0.07)
If edge > 0 → BUY YES
If edge < 0 → BUY NO (or your estimate is below market)
Positive edge means the market is underpricing an outcome you believe in. This is where profit potential exists.
| Level | Meaning | Typical Edge | |-------|---------|--------------| | high | Strong thesis, clear factors | >10% | | medium | Reasonable thesis, some uncertainty | 5-10% | | low | Speculative, limited information | <5% |
Conviction analyzes. Bankr executes.
# 1. Form conviction
ANALYSIS=$(scripts/analyze.sh --format json "Will X happen?")
# 2. Check if edge is worth trading
EDGE=$(echo $ANALYSIS | jq -r '.conviction.edge')
if (( $(echo "$EDGE > 0.05" | bc -l) )); then
# 3. Execute via Bankr
DIRECTION=$(echo $ANALYSIS | jq -r '.conviction.direction')
bankr.sh "Bet $10 on $DIRECTION for [market]"
fi
Convictions are logged to data/history.json for accuracy tracking over time.
track.sh# List all convictions
scripts/track.sh --list
# View accuracy statistics
scripts/track.sh --stats
# Resolve when market settles
scripts/track.sh --resolve market-slug --outcome yes
This enables agents to calibrate confidence levels and prove conviction quality over time.
Market: JD Vance 2028 Presidential Election Position: $5 USDC on YES @ $0.26 Edge: +4.5% (market: 25.5%, estimate: 30%) Date: 2026-02-05
Bridge TX: https://www.relay.link/transaction/0xecf39045de8e6040f743076ef6f14e206e866f60a592805dd6aa7beab41216f6
This isn't just analysis—it's conviction with real stakes.
"You only profit by being non-consensus AND right."
Prediction markets reward contrarian thinking backed by genuine insight. This skill helps agents:
The goal isn't to trade more. It's to trade better—with conviction.
Polymarket settles all bets in USDC on Polygon. By forming convictions on Polymarket markets, agents directly participate in USDC-denominated prediction markets.
This skill enables smarter USDC allocation by identifying edge opportunities rather than trading blindly.
curl - API requestsjq - JSON processingPost-authored. Freely remixable. Offered in the spirit of abundance.
"True posting is egoless & performative."
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/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
Do not use if
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 5d 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": "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/nexwired-conviction-skill/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/nexwired-conviction-skill/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/nexwired-conviction-skill/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/nexwired-conviction-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": "2026-04-17T01:47:55.005Z"
}
},
"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": "for",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:for|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": "Nexwired",
"href": "https://github.com/NexWired/conviction-skill",
"sourceUrl": "https://github.com/NexWired/conviction-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-25T02:24:34.830Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-02-25T02:24:34.830Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/nexwired-conviction-skill/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/nexwired-conviction-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
}
]Sponsored
Ads related to conviction and adjacent AI workflows.