mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-17 23:09:35 +00:00
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
460 B
Python
7 lines
460 B
Python
"""Risk flags — identifies risky actions before they happen."""
|
|
HIGH_RISK = {"whatsapp_cold", "linkedin_scraping", "linkedin_auto_dm", "instagram_mass_dm", "fake_claim", "guaranteed_revenue", "send_without_approval"}
|
|
|
|
def check_risk(action: str) -> dict:
|
|
is_high = action in HIGH_RISK
|
|
return {"action": action, "risk": "HIGH" if is_high else "LOW", "blocked": is_high, "reason": f"{action} is {'HIGH RISK — blocked' if is_high else 'acceptable'}"}
|