# Send Molt Sift to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "molt-sift",
    "name": "Molt Sift",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/NoizceEra/molt-sift",
    "canonicalUrl": "https://clawhub.ai/NoizceEra/molt-sift",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/molt-sift",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=molt-sift",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "assets/crypto_schema.json",
      "assets/sample_crypto.json",
      "BUILD_PLAN.md",
      "CLAWHUB_UPLOAD_GUIDE.md",
      "DEPLOYMENT_GUIDE.md",
      "IMPLEMENTATION_SUMMARY.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "molt-sift",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-02T12:05:36.318Z",
      "expiresAt": "2026-05-09T12:05:36.318Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=molt-sift",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=molt-sift",
        "contentDisposition": "attachment; filename=\"molt-sift-0.1.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "molt-sift"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/molt-sift"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/molt-sift",
    "downloadUrl": "https://openagent3.xyz/downloads/molt-sift",
    "agentUrl": "https://openagent3.xyz/skills/molt-sift/agent",
    "manifestUrl": "https://openagent3.xyz/skills/molt-sift/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/molt-sift/agent.md"
  }
}
```
## 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 → 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] 🦀 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] ✓ Claimed job molt_sift_001
# [BountyAgent] Processing job molt_sift_001...
# [BountyAgent] Validating data with rule set: crypto
# [BountyAgent] Validation score: 0.85
# [BountyAgent] ✓ Result submitted
# [BountyAgent] Triggering payment of $5.00 USDC...
# [BountyAgent] ✓ 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"
   └─ Specifies data, validation rules, reward amount ($5)
   └─ Provides payout address

2. Agent B watches PayAClaw for bounties
   └─ Sees new "Molt Sift" job available
   └─ Auto-claims the job

3. Agent B validates with Molt Sift
   └─ Sifter processes data against rules
   └─ Returns score, cleaned data, issues found

4. Agent B submits results to PayAClaw
   └─ PayAClaw records the completion

5. Payment triggered via x402 Solana
   └─ USDC transfer initiated to Agent B's wallet
   └─ Transaction confirmed on-chain
   └─ 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/
├── scripts/
│   ├── molt_sift.py      (CLI entry point)
│   ├── sifter.py         (core validation engine)
│   ├── bounty_agent.py   (PayAClaw integration)
│   └── api_server.py     (HTTP bounty endpoint)
├── references/
│   ├── rules.md          (validation rule definitions)
│   └── schemas.md        (common JSON schemas)
└── assets/
    └── 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.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: NoizceEra
- Version: 0.1.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-02T12:05:36.318Z
- Expires at: 2026-05-09T12:05:36.318Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/molt-sift)
- [Send to Agent page](https://openagent3.xyz/skills/molt-sift/agent)
- [JSON manifest](https://openagent3.xyz/skills/molt-sift/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/molt-sift/agent.md)
- [Download page](https://openagent3.xyz/downloads/molt-sift)