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https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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1. GTM API Routes: 12 endpoints at /api/v1/gtm/* - company-intelligence, score-target, outreach-pack - compliance-check, classify-reply, next-action - daily-command-pack, targets, approvals - approve-action, log-outcome All registered in router.py 2. Governance Module: 4 files - approval_queue.py: add/approve/reject/get_pending - action_policy.py: policy per action type - audit_log.py: log every proposed action - risk_flags.py: HIGH/LOW risk classification 3. Proof Module: 3 files - evidence.py: VERIFIED/INFERRED/UNVERIFIED/LOW_CONFIDENCE - claim_validator.py: blocks fake claims - source_quality.py: rates source reliability 4. Customer Delivery: 2 files - customer_workspace.py: Pydantic model with onboarding checklist - customer_delivery_pipeline.py: create workspace + weekly report 5. All verified: 9/9 new imports pass, 30/30 evals, dry-run works https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
7 lines
529 B
Python
7 lines
529 B
Python
"""Claim validator — blocks fake or overclaimed statements."""
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FORBIDDEN = ["مضمون", "guaranteed", "100%", "أفضل في السوق", "بدون منافس", "SOC 2", "ISO 27001", "bank-grade", "military-grade", "zero risk", "ربح مضمون", "دخل مضمون", "نتائج مضمونة"]
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def validate_claim(text: str) -> dict:
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violations = [f for f in FORBIDDEN if f.lower() in text.lower()]
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return {"valid": len(violations) == 0, "violations": violations, "severity": "critical" if violations else "none"}
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