Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Molt Sift
Validate and extract high-confidence signals from JSON, text, or streams using customizable rules, with schema validation and integrated Solana bounty payments.
skill openclawclawhub Free
Validate and extract high-confidence signals from JSON, text, or streams using customizable rules, with schema validation and integrated Solana bounty payments.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- assets/crypto_schema.json, assets/sample_crypto.json, BUILD_PLAN.md, CLAWHUB_UPLOAD_GUIDE.md, DEPLOYMENT_GUIDE.md, IMPLEMENTATION_SUMMARY.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- NoizceEra
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Molt Sift
Sift through the sand. Find the signal. Get paid.
CLI Usage
# Validate JSON against a schema molt-sift validate --input data.json --schema schema.json # Sift text output for quality signals molt-sift sift --input output.txt --rules crypto # Run a bounty validation job molt-sift bounty claim --job-id abc123 --payout-address YOUR_SOLANA_ADDRESS
As a Library
from molt_sift import Sifter sifter = Sifter(rules="crypto") result = sifter.validate(raw_data, schema) print(result) # {score: 0.92, clean: {...}, issues: [...]}
1. Validate Against Schema
Input: raw JSON/text + validation rules Output: cleaned data + quality score (0-1) Use for: ensuring outputs match expected structure
2. Sift for Signal
Input: noisy data + signal rules (e.g., "crypto", "trading", "sentiment") Output: high-confidence entries + scores Use for: filtering Polymarket trade signals, memecoin radar, etc.
3. Bounty Mode
Accept PayAClaw/MoltyGuild bounty jobs Validate input β return cleaned output Auto-trigger x402 payment on completion Use for: passive income while handling other tasks
4. Quality Scoring
Structural integrity (valid JSON, required fields) Data completeness (% fields filled) Consistency (no contradictions, valid types) Confidence (signal strength if applicable) Overall score: 0-100%
For Bounty Hunters: Claim & Earn
Start a bounty hunting agent that automatically claims and processes validation jobs: # Start watching PayAClaw for bounty jobs molt-sift bounty claim --auto --payout YOUR_SOLANA_ADDRESS # Example output: # [BountyAgent] π¦ Starting bounty agent (watching PayAClaw)... # [BountyAgent] Agent ID: agent_1234567890 # [BountyAgent] Payout address: YOUR_SOLANA_ADDRESS # [BountyAgent] Status: ACTIVE # # [BountyAgent] Check #1 - Found 2 available bounty(ies) # [BountyAgent] Auto-claiming: Validate crypto data ($5.00) # [BountyAgent] β Claimed job molt_sift_001 # [BountyAgent] Processing job molt_sift_001... # [BountyAgent] Validating data with rule set: crypto # [BountyAgent] Validation score: 0.85 # [BountyAgent] β Result submitted # [BountyAgent] Triggering payment of $5.00 USDC... # [BountyAgent] β Payment initiated # [BountyAgent] Transaction: abc123def456... The agent will: Watch PayAClaw for available "Molt Sift" bounty jobs Auto-claim matching validation jobs Process data with Sifter engine Submit results back to PayAClaw Receive USDC payment via x402 Solana escrow
For Bounty Posters: Create & Pay
Post validation bounties via HTTP API: # Start the API server molt-sift api start --port 8000 # In another terminal, post a bounty: curl -X POST http://localhost:8000/bounty \ -H "Content-Type: application/json" \ -d '{ "raw_data": { "symbol": "BTC", "price": 42850.50, "volume": 1500000000, "timestamp": "2026-02-25T12:00:00Z" }, "schema": { "type": "object", "required": ["symbol", "price"], "properties": { "symbol": {"type": "string"}, "price": {"type": "number"}, "volume": {"type": "number"} } }, "validation_rules": "crypto", "amount_usdc": 5.00, "payout_address": "AGENT_SOLANA_ADDRESS" }' Response: { "status": "validated", "validation_score": 0.92, "clean_data": { "symbol": "BTC", "price": 42850.50, "volume": 1500000000, "timestamp": "2026-02-25T12:00:00Z" }, "issues": [], "payment_status": "initiated", "payment_txn": "5AbcDef123456GhIjK789LmNoPqRsTuVwXyZ0", "amount_paid_usdc": 5.00, "explorer_url": "https://solscan.io/tx/5AbcDef123456GhIjK789LmNoPqRsTuVwXyZ0?cluster=mainnet-beta" }
API Endpoints
Health Check: curl http://localhost:8000/health # {"status": "healthy", "timestamp": "2026-02-25T12:00:00Z"} Post Bounty: POST /bounty Content-Type: application/json { "raw_data": {...}, # Data to validate "schema": {...}, # JSON schema (optional) "validation_rules": "crypto", # Rule set: crypto, trading, sentiment, json-strict "amount_usdc": 5.00, # Bounty reward "payout_address": "..." # Recipient Solana address } Get Job Status: GET /bounty/<job_id> # Returns job details and current status Get Payment Status: GET /payment/<transaction_signature> # Returns payment confirmation and blockchain status Get Statistics: GET /stats # Returns API statistics and volumes
Bounty Workflow
1. Agent A posts bounty: "Validate this crypto data" ββ Specifies data, validation rules, reward amount ($5) ββ Provides payout address 2. Agent B watches PayAClaw for bounties ββ Sees new "Molt Sift" job available ββ Auto-claims the job 3. Agent B validates with Molt Sift ββ Sifter processes data against rules ββ Returns score, cleaned data, issues found 4. Agent B submits results to PayAClaw ββ PayAClaw records the completion 5. Payment triggered via x402 Solana ββ USDC transfer initiated to Agent B's wallet ββ Transaction confirmed on-chain ββ Agent B receives payment
Earning Examples
Bounty Type: Crypto Data Validation Job: Validate price feed data Reward: $5 USDC Processing time: ~2 seconds Hourly rate: ~$9,000/hr Bounty Type: Trading Order Validation Job: Validate order execution logs Reward: $3 USDC Processing time: ~1 second Hourly rate: ~$10,800/hr Bounty Type: Sentiment Analysis Job: Extract and score sentiment Reward: $2 USDC Processing time: ~1 second Hourly rate: ~$7,200/hr These are micro-transactions perfect for autonomous agents that can process many jobs in parallel.
Validation Rules
Pre-built rule sets for common domains: crypto: Price data, on-chain metrics, trading signals trading: Order books, execution logs, P&L sentiment: Text analysis, market mood json-strict: Structural validation only custom: User-defined rules See references/rules.md for complete list and examples.
Architecture
molt-sift/ βββ scripts/ β βββ molt_sift.py (CLI entry point) β βββ sifter.py (core validation engine) β βββ bounty_agent.py (PayAClaw integration) β βββ api_server.py (HTTP bounty endpoint) βββ references/ β βββ rules.md (validation rule definitions) β βββ schemas.md (common JSON schemas) βββ assets/ βββ templates/ (example inputs/outputs)
Getting Started
Install locally: pip install -e . Test validation: molt-sift validate --input sample.json --schema crypto Start bounty agent: molt-sift bounty claim --auto --payout YOUR_SOLANA_ADDR Start API server: molt-sift api start --port 8000
Output Format
All results follow this structure: { "status": "validated|sifted|failed", "score": 0.0-1.0, "clean_data": {...}, "issues": [ { "field": "price", "issue": "missing required value", "severity": "error|warning" } ], "metadata": { "rule_set": "crypto", "timestamp": "2026-02-25T12:00:00Z", "processing_ms": 125 } }
Deployment
Ready for: Local CLI Docker container (for API server) Cron jobs (batch validation) Real-time bounty hunting (subprocess) ClawHub integration See references/deployment.md for setup guides.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs2 Config
- BUILD_PLAN.md
- CLAWHUB_UPLOAD_GUIDE.md
- DEPLOYMENT_GUIDE.md
- IMPLEMENTATION_SUMMARY.md
- assets/crypto_schema.json
- assets/sample_crypto.json