Proof Engine
by @georges91560
Transforms every result [PRINCIPAL_NAME] achieves into deployable proof across all business domains. Captures P&L, agent performance, funnel revenue, testimo...
clawhub install proof-engineπ About This Skill
name: proof-engine description: > Transforms every result [PRINCIPAL_NAME] achieves into deployable proof across all business domains. Captures P&L, agent performance, funnel revenue, testimonials, milestones, and media mentions. Converts raw data into compelling stories via the Storytelling Engine. Generates proof-based content ready for all platforms. Tracks a multi-channel financial dashboard. Scans high-potential business opportunities for 2026. Deploys proof automatically into funnels, brand, outreach, and VSL scripts. The credibility engine that makes everything else convert. version: 1.1.0 author: Wesley Armando (Georges Andronescu) license: MIT metadata: openclaw: emoji: "π" security_level: L2 required_paths: read: - /workspace/proof/ - /workspace/brand/ - /workspace/CASHFLOW/ - /workspace/voice/ - /workspace/memory/ - /workspace/revenue/ - /workspace/content/ - /workspace/.learnings/ write: - /workspace/proof/vault/ - /workspace/proof/dashboard.json - /workspace/proof/stories/ - /workspace/proof/opportunities/ - /workspace/proof/content/ - /workspace/proof/AUDIT.md network_behavior: makes_requests: true request_targets: - https://api.telegram.org (Telegram Bot API β requires TELEGRAM_BOT_TOKEN) uses_agent_telegram: true requires.env: - TELEGRAM_BOT_TOKEN - TELEGRAM_CHAT_ID
Proof Engine β Credibility at Scale
> "Nobody believes what you say. Everyone believes what you prove."
This skill turns every result [PRINCIPAL_NAME] achieves β in any business, on any platform β into automated credibility that feeds every other skill.
ENGINE 1 β CAPTURE
Collects proof from all business domains automatically
Sources: trading, agents, funnels, content, clients, mediaENGINE 2 β VAULT
Structured storage with impact scoring
Multi-channel financial dashboard β all revenue in one view
ENGINE 3 β STORYTELLING
Transforms raw data into compelling narratives
Before β Trigger β Result β Mission arcs ready to deploy
ENGINE 4 β CONTENT PROOF
Generates proof-based content for all platforms
Real numbers, real results β zero hype
ENGINE 5 β OPPORTUNITY
Scans high-potential business opportunities for 2026
Filter: digital, automatable, scalable, high-margin
ENGINE 6 β DEPLOY
Injects proof at the right moment into every other skill
Funnels, brand, outreach, VSL, email sequences
ENGINE 1 β CAPTURE
Proof Sources β All Business Domains
DOMAIN 1 β TRADING & CRYPTO
Source: /workspace/CASHFLOW/ (crypto-executor output)
Captures: Monthly P&L, win rate, max drawdown, best trade
Format: { domain, date, metric, value, context, impact_score }
Schedule: Daily auto-capture at 06h00DOMAIN 2 β AI AGENTS & AUTOMATION
Source: /workspace/ agent logs, AUDIT.md files
Captures: Tasks automated, time saved, errors resolved autonomously,
skills deployed, uptime percentage
Format: { domain, date, task, outcome, hours_saved, impact_score }
Schedule: Weekly auto-capture Monday 08h00
DOMAIN 3 β FUNNELS & DIGITAL SALES
Source: /workspace/CASHFLOW/ funnel revenue data
Captures: Revenue per funnel, conversion rates, leads generated,
best-performing offer, email open rates
Format: { domain, date, funnel, revenue, conversions, impact_score }
Schedule: Weekly auto-capture Monday 08h00
DOMAIN 4 β CONTENT & AUDIENCE
Source: /workspace/brand/AUDIT.md
Captures: Follower milestones, viral posts, engagement rates,
platform growth (Twitter, LinkedIn, Instagram, YouTube, TikTok)
Format: { domain, platform, date, metric, value, impact_score }
Schedule: Weekly auto-capture
DOMAIN 5 β CLIENTS & TESTIMONIALS
Source: Manual entry + /workspace/proof/vault/testimonials/
Captures: Written testimonials, video testimonials, client results,
before/after transformations
Format: { domain, date, client, result, quote, impact_score }
Schedule: On-demand (manual trigger)
DOMAIN 6 β PRODUCTS & DIGITAL ASSETS
Source: Manual entry + revenue data
Captures: Product sales, downloads, reviews, refund rate,
revenue per product
Format: { domain, date, product, sales, revenue, reviews }
Schedule: Monthly auto-capture
DOMAIN 7 β MEDIA & AUTHORITY
Source: Manual entry
Captures: Podcast appearances, press mentions, newsletter features,
speaking invitations, partnership deals
Format: { domain, date, source, type, reach, link }
Schedule: On-demand (manual trigger)
DOMAIN 8 β PARTNERSHIPS & COLLABS
Source: Manual entry
Captures: Deals signed, revenue generated, reach amplified,
affiliate commissions
Format: { domain, date, partner, type, outcome, revenue }
Schedule: On-demand (manual trigger)
Impact Scoring System
IMPACT SCORE (1-10) β determines deployment priorityScore 9-10 : HERO PROOF β deploy everywhere immediately
Examples: First β¬10K month, 100K followers, viral post 1M+ views
Score 7-8 : STRONG PROOF β deploy in funnels + brand
Examples: Consistent β¬3K/month, testimonial with specific results
Score 5-6 : SUPPORTING PROOF β deploy in content + outreach
Examples: New tool working well, 10% conversion rate
Score 3-4 : CONTEXT PROOF β use in nurture sequences
Examples: Learning moment, process improvement, milestone progress
Score 1-2 : ARCHIVE β store but don't deploy actively
Examples: Small wins, early-stage data
Auto-Capture CLI
# Capture from all domains
python3 /workspace/proof/scripts/proof_manager.py capture --allCapture specific domain
python3 /workspace/proof/scripts/proof_manager.py capture \
--domain tradingManual entry
python3 /workspace/proof/scripts/proof_manager.py add \
--domain clients \
--metric testimonial \
--value "Client went from β¬0 to β¬2K/month in 6 weeks" \
--impact 8
ENGINE 2 β VAULT & FINANCIAL DASHBOARD
Vault Structure
/workspace/proof/vault/
βββ trading/
β βββ YYYY-MM.json β Monthly P&L entries
βββ agents/
β βββ YYYY-WW.json β Weekly agent performance
βββ funnels/
β βββ YYYY-MM.json β Monthly funnel revenue
βββ content/
β βββ YYYY-MM.json β Monthly audience metrics
βββ testimonials/
β βββ [client_id].json β Individual testimonials
βββ products/
β βββ [product_id].json β Per-product metrics
βββ media/
β βββ YYYY-MM.json β Media mentions + appearances
βββ partnerships/
β βββ [partner_id].json β Partnership outcomes
βββ index.json β Master index with impact scores
Multi-Channel Financial Dashboard
dashboard.json structure:
{
"period": "2026-03",
"total_revenue": 0,
"by_channel": {
"trading": { "revenue": 0, "trend": "up/down/stable" },
"funnels": { "revenue": 0, "trend": "" },
"products": { "revenue": 0, "trend": "" },
"services": { "revenue": 0, "trend": "" },
"affiliates": { "revenue": 0, "trend": "" },
"content_monetization": { "revenue": 0, "trend": "" }
},
"top_proof_items": [],
"hero_proof": null,
"last_updated": ""
}
Dashboard CLI
# View current dashboard
python3 /workspace/proof/scripts/proof_manager.py dashboardUpdate a channel
python3 /workspace/proof/scripts/proof_manager.py dashboard \
--update funnels --revenue 3200Monthly summary
python3 /workspace/proof/scripts/proof_manager.py dashboard \
--period monthly
ENGINE 3 β STORYTELLING
The Proof-to-Story Framework
Every proof item can become a story. The story makes the proof human.ARC 1 β THE TRANSFORMATION ARC
Before: "I was [struggling with X]"
Trigger: "Then I [built/discovered/tried] Y"
Result: "Now I [specific outcome with numbers]"
Mission: "That's why I share this β so you can too"
ARC 2 β THE SYSTEM ARC
Problem: "Most people do X the hard way"
System: "I built a system that [does X automatically]"
Proof: "[Specific result] in [timeframe]"
Offer: "Here's how to build yours"
ARC 3 β THE MISTAKE ARC
Mistake: "I spent β¬X / wasted X months on [thing]"
Learning: "What I discovered was [insight]"
Fix: "Now I do [new approach]"
Result: "[Better outcome]"
ARC 4 β THE MILESTONE ARC
Context: "X months/weeks ago I [starting point]"
Journey: "3 things that made the difference:"
Today: "[Current milestone with numbers]"
Next: "Where this is going"
ARC 5 β THE PROOF ARC (for sales)
Claim: "[Bold promise of the offer]"
Skeptic: "You might be thinking [objection]"
Proof: "[Specific result that addresses objection]"
Bridge: "Here's exactly how [client/I] did it"
Story Generation
# Generate story from a proof item
python3 /workspace/proof/scripts/proof_manager.py story \
--proof-id trading_2026-03 \
--arc transformation \
--platform twitterGenerate VSL story (for voice-agent-pro-v3)
python3 /workspace/proof/scripts/proof_manager.py story \
--proof-id funnels_2026-03 \
--arc system \
--platform vsl \
--output /workspace/voice/scripts/vsl_proof.mdGenerate all stories from hero proof items
python3 /workspace/proof/scripts/proof_manager.py story \
--filter-impact 8 \
--arc all
Story Output Format
Stories saved to /workspace/proof/stories/[arc]_[platform]_[date].mdEach story includes:
β Raw version (data-first, for personal-brand-builder)
β Polished version (narrative, for content-creator-pro)
β Ultra-short version (hook only, for TikTok/Twitter)
β VSL version (spoken word, for voice-agent-pro-v3)
ENGINE 4 β CONTENT PROOF
Proof-Based Content Generation
PRINCIPLE : Every piece of content should be anchored in real proof.
Not "here's how to make money" but "here's how I made β¬X β step by step"CONTENT TYPES generated from proof:
THREAD (Twitter/X)
Hook: The result (number-first)
Body: The 5-7 steps that led to the result
Proof: Screenshot reference or specific metric
Close: What to do if you want the same
CAROUSEL (Instagram/LinkedIn)
Slide 1: Bold result claim
Slides 2-6: The system breakdown
Slide 7: Before vs After visual
Slide 8: CTA
REEL SCRIPT (Instagram/TikTok)
0-3s: "I [result] in [timeframe] β here's how"
3-30s: The 3 key moves
30-45s: The proof moment
45-60s: CTA
EMAIL (for funnel sequences)
Subject: "[Result] β what actually happened"
Body: Story arc + proof + lesson + soft CTA
VSL SEGMENT (for voice-agent-pro-v3)
Opening: The biggest result
Story: Full transformation arc
Proof: Multiple stacked evidence points
Offer: Natural transition to the solution
Content Generation CLI
# Generate thread from best proof
python3 /workspace/proof/scripts/proof_manager.py content \
--type thread \
--domain trading \
--platform twitterGenerate carousel from testimonial
python3 /workspace/proof/scripts/proof_manager.py content \
--type carousel \
--domain testimonials \
--platform instagramGenerate full content batch (all formats, top proof items)
python3 /workspace/proof/scripts/proof_manager.py content \
--batch \
--filter-impact 7
ENGINE 5 β OPPORTUNITY SCANNER
High-Potential Business Opportunities 2026
FILTER CRITERIA
β
Digital-first (no physical inventory)
β
Automatable with AI agents
β
Scalable without linear time input
β
High margin (> 60%)
β
Proven demand in 2025-2026
β
Achievable with Wesley's current skills stackOPPORTUNITY CATEGORIES
CAT 1 β AI-POWERED SERVICES (very high potential)
AI Agent as a Service (AaaS)
β Build custom OpenClaw agents for businesses
β β¬500-5K per setup + β¬200-500/month maintenance
β Demand: exploding in 2026
β Wesley's edge: already does it for himself
Automated Content Agency
β content-creator-pro + voice-agent-pro-v3 as a service
β β¬1K-3K/month per client for automated content
β Wesley's edge: full stack already built
AI Automation Consulting
β Audit business processes, deploy agents
β β¬2K-10K per project
β Wesley's edge: proven results with his own systems
CAT 2 β DIGITAL PRODUCTS (passive + scalable)
Trading Signal Newsletter (paid)
β agent-shark-mindset signals monetized
β β¬29-99/month per subscriber
β 100 subscribers = β¬3K-10K/month recurring
β Wesley's edge: real signals, real performance data
AI Automation Course / Program
β "Build Your First Agent" or "Autonomous Wealth System"
β β¬297-997 one-time or β¬97/month
β funnel-builder already set up
β Wesley's edge: documented real results
Prompt & Agent Template Marketplace
β Sell proven OpenClaw skill packages
β β¬47-197 per template bundle
β Wesley's edge: proven skills already built
CAT 3 β COMMUNITY & MEMBERSHIP
Private Community (Discord/Telegram)
β "Autonomous Wealth" inner circle
β β¬47-97/month per member
β 50 members = β¬2.5K-5K/month recurring
β Content: weekly agent insights + signals + strategies
Mastermind / Coaching Group
β High-ticket: β¬500-2K/month per person
β 10 members = β¬5K-20K/month
β Wesley's edge: real P&L, real systems, proof-first
CAT 4 β AFFILIATE & PARTNERSHIPS
AI Tools Affiliation
β OpenClaw, ElevenLabs, Systeme.io, trading platforms
β 20-40% recurring commission
β β¬500-2K/month with audience of 5K+
β Wesley's edge: authentic user + documented results
White-Label Agent Solutions
β License Wesley's agent stack to other operators
β Revenue share model
β Wesley's edge: proven infrastructure
Opportunity Scoring
Each opportunity scored on:
Alignment with Wesley's skills (1-10)
Time to first revenue (1-10, higher = faster)
Scalability potential (1-10)
Automation level (1-10)
Market demand 2026 (1-10)
β TOTAL SCORE / 50Top opportunities updated quarterly in:
/workspace/proof/opportunities/ranked_2026.json
Opportunity CLI
# View ranked opportunities
python3 /workspace/proof/scripts/proof_manager.py opportunities \
--action view \
--filter-score 35Add new opportunity
python3 /workspace/proof/scripts/proof_manager.py opportunities \
--action add \
--name "AI Agent as a Service" \
--category ai-services \
--score 42Generate opportunity report
python3 /workspace/proof/scripts/proof_manager.py opportunities \
--action report
ENGINE 6 β DEPLOY
Proof Injection Points
FUNNEL-BUILDER
β Hero proof β landing page headline
β Testimonials β social proof section
β P&L data β credibility block
β Auto-inject on funnel_builder audit triggerPERSONAL-BRAND-BUILDER
β All proof items β /workspace/brand/proof/ sync
β Hero proof β pinned post candidate
β Milestone proof β "Month X update" content
β Auto-sync weekly Sunday 20h00
ACQUISITION-MASTER
β Testimonials β outreach credibility line
β Revenue proof β "as someone who [result]..." hook
β Media mentions β authority signal in cold outreach
β Auto-inject on outreach sequence generation
VOICE-AGENT-PRO-V3
β Story arcs β VSL scripts in /workspace/voice/scripts/
β Hero proof β call script credibility moment
β Testimonials β social proof in call flow
β Auto-generate VSL segment weekly
CONTENT-CREATOR-PRO
β Proof items β content briefs with real data
β Story arcs β long-form content outlines
β Milestone proof β monthly update post
β Auto-brief daily before content generation
Deploy CLI
# Deploy all hero proof (impact 8+) across all skills
python3 /workspace/proof/scripts/proof_manager.py deploy \
--filter-impact 8 \
--targets allDeploy to specific skill
python3 /workspace/proof/scripts/proof_manager.py deploy \
--proof-id testimonials_001 \
--target funnel-builderWeekly full deploy
python3 /workspace/proof/scripts/proof_manager.py deploy \
--action weekly-sync
Autonomous Operations
Daily Routine
06h00 β Auto-capture trading domain
β Read /workspace/CASHFLOW/TRACKING/tracker_state.json
β Extract P&L, compute impact score
β Update dashboard.json
β If new hero proof (score 8+) β Telegram alert to principal08h00 β Morning proof brief
β Summary of proof vault status
β Top 3 deployable proof items today
β Telegram: "π Proof Brief β [X] items ready to deploy"
Weekly Routine
Monday 08h00 β Full capture all domains
β Agents performance, funnels, content metrics
β Update dashboard.json with weekly totals
β Score all new itemsMonday 09h00 β Story generation
β Generate stories from new proof items (score 7+)
β Save to /workspace/proof/stories/
Sunday 20h00 β Weekly deploy sync
β Push proof to personal-brand-builder vault
β Generate VSL segment if new hero proof
β Brief acquisition-master with latest social proof
β Telegram: "π Weekly Proof Sync β [X] items deployed"
Monthly Routine
1st of month 07h00 β Monthly dashboard
β Consolidate all channels revenue
β Generate monthly story (transformation arc)
β Flag new opportunities based on monthly performance
β Telegram: "π Monthly Dashboard β Total: β¬X across [N] channels"
CLI Usage
# Full status
python3 /workspace/proof/scripts/proof_manager.py statusMorning brief
python3 /workspace/proof/scripts/proof_manager.py morning-briefWeekly sync (all engines)
python3 /workspace/proof/scripts/proof_manager.py weekly-syncView top proof items
python3 /workspace/proof/scripts/proof_manager.py vault \
--filter-impact 7 \
--sort date
Integration Map
proof-engine reads FROM:
crypto-executor β /workspace/CASHFLOW/TRACKING/
agent-shark-mindset β /workspace/CASHFLOW/ASSETS/
funnel-builder β /workspace/CASHFLOW/
personal-brand-builder β /workspace/brand/AUDIT.md
revenue-tracker β /workspace/revenue/proof-engine writes TO:
personal-brand-builder β /workspace/brand/proof/
funnel-builder β proof items for landing pages
voice-agent-pro-v3 β /workspace/voice/scripts/ (VSL)
content-creator-pro β proof briefs for content
acquisition-master β social proof for outreach
Setup & Bootstrap
What You Need
MINIMUM (all engines work without API keys):
β Run proof_manager.py init
β All engines operate on local files only
β Telegram for notifications (already in agent .env)AGENT ALREADY HAS:
TELEGRAM_BOT_TOKEN β already in agent .env
TELEGRAM_CHAT_ID β already in agent .env
Bootstrap Checklist
[ ] python3 proof_manager.py init
[ ] python3 proof_manager.py capture --all (first capture)
[ ] python3 proof_manager.py dashboard (verify dashboard)
[ ] python3 proof_manager.py opportunities --action view
[ ] Add first testimonial manually (if available)
[ ] python3 proof_manager.py status
[ ] Schedule crons (see below)
Cron Schedule
# Daily trading capture β 06h00
0 6 * * 1-5 proof-engine β capture --domain tradingMorning proof brief β 08h00
0 8 * * 1-5 python3 proof_manager.py morning-briefWeekly full capture β Monday 08h00
0 8 * * 1 python3 proof_manager.py capture --allWeekly story generation β Monday 09h00
0 9 * * 1 python3 proof_manager.py story --filter-impact 7 --arc allWeekly deploy sync β Sunday 20h00
0 20 * * 0 python3 proof_manager.py deploy --action weekly-syncMonthly dashboard β 1st of month 07h00
0 7 1 * * python3 proof_manager.py dashboard --period monthly
Files Written By This Skill
| File | Frequency | Content |
|---|---|---|
| /workspace/proof/vault/*/ | Daily/Weekly | Proof items by domain |
| /workspace/proof/dashboard.json | Daily | Multi-channel revenue dashboard |
| /workspace/proof/stories/*.md | Weekly | Generated story arcs |
| /workspace/proof/content/*.md | Weekly | Proof-based content briefs |
| /workspace/proof/opportunities/ranked_2026.json | Quarterly | Opportunity rankings |
| /workspace/proof/AUDIT.md | Daily | Capture + deploy log |
| /workspace/.learnings/LEARNINGS.md | Weekly | What proof converts best |
Workspace Structure
/workspace/proof/
βββ dashboard.json β Multi-channel financial dashboard
βββ vault/
β βββ index.json β Master index with impact scores
β βββ trading/ β P&L entries
β βββ agents/ β Agent performance
β βββ funnels/ β Funnel revenue
β βββ content/ β Audience metrics
β βββ testimonials/ β Client testimonials
β βββ products/ β Product metrics
β βββ media/ β Press, podcasts, mentions
β βββ partnerships/ β Partnership outcomes
βββ stories/ β Generated story arcs
βββ content/ β Proof-based content briefs
βββ opportunities/
β βββ ranked_2026.json β Scored business opportunities
βββ references/
β βββ storytelling.md β Storytelling frameworks reference
βββ AUDIT.md β Daily log
Constraints
β Never fabricate proof β only real, verifiable data
β Never deploy proof with impact score < 5 in hero positions
β Never share client testimonials without explicit consent
β Never use proof from other people's businesses without permission
β
Always timestamp every proof item at capture
β
Always log every deploy action to AUDIT.md
β
Always notify principal via Telegram when hero proof captured
β
Cross-check with personal-brand-builder before deploying to brand
β
If vault empty β prompt principal to add first proof items
Error Handling
ERROR: /workspace/CASHFLOW/ not found (crypto-executor not running)
Action: Skip trading capture, log to ERRORS.md
Notify: "Trading data unavailable β is crypto-executor running?"ERROR: Vault empty on first run
Action: Run init, create folder structure, prompt manual entry
Notify: "Proof vault initialized β add your first proof item"
ERROR: Story generation with no proof items
Action: Generate template stories with [PLACEHOLDER] data
Log: "Story generated with placeholders β add real proof"
ERROR: Deploy target skill files not found
Action: Log which skills are missing, skip gracefully
Notify: "Deploy skipped for [skill] β skill not installed"
π Constraints
β Never fabricate proof β only real, verifiable data
β Never deploy proof with impact score < 5 in hero positions
β Never share client testimonials without explicit consent
β Never use proof from other people's businesses without permission
β
Always timestamp every proof item at capture
β
Always log every deploy action to AUDIT.md
β
Always notify principal via Telegram when hero proof captured
β
Cross-check with personal-brand-builder before deploying to brand
β
If vault empty β prompt principal to add first proof items