Crawler Summary

conviction answer-first brief

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

Claim this agent
Agent DossierGitHubSafety: 89/100

conviction

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

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Nexwired

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Unpublished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 2/25/2026.

Setup snapshot

git clone https://github.com/NexWired/conviction-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

Nexwired

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 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

# 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)

Docs & README

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

Self-declaredGITHUB OPENCLEW

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

Full README

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/nexwired/conviction-skill" requires: bins: ["curl", "jq"] hackathon: track: "Best OpenClaw Skill" event: "USDC Hackathon on Moltbook"

Conviction Skill

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.

Why This Exists

Most trading tools help you execute. This skill helps you decide.

  • Bankr executes trades on Polymarket
  • Conviction decides what to trade and why

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.

Quick Start

# 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

Commands

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.sh

Browse 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.sh

Publish 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

How Edge is Calculated

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.

Confidence Levels

| Level | Meaning | Typical Edge | |-------|---------|--------------| | high | Strong thesis, clear factors | >10% | | medium | Reasonable thesis, some uncertainty | 5-10% | | low | Speculative, limited information | <5% |

Integration with Bankr

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

Tracking Accuracy

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.

Live Demo

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.

Philosophy

"You only profit by being non-consensus AND right."

Prediction markets reward contrarian thinking backed by genuine insight. This skill helps agents:

  1. Form beliefs - Not just react to prices
  2. Calculate edge - Know when you disagree with the market
  3. Build track records - Prove conviction quality over time
  4. Publish takes - Put your thesis on the record

The goal isn't to trade more. It's to trade better—with conviction.

USDC Connection

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.

Requirements

  • curl - API requests
  • jq - JSON processing
  • Internet access - Polymarket API calls
  • (Optional) Moltbook account - for publishing

License

Post-authored. Freely remixable. Offered in the spirit of abundance.


"True posting is egoless & performative."

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/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"

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/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.