feat: Add gstack discipline, skill governance, Arabic ops layer

Final integration layer (gstack + Antigravity + Mukhtasar/Mkhlab):

- gstack_discipline.py: Planning enforcement with dispatch tiers
  (Simple/Medium/Heavy/Full/Plan), plan validation, lite/full prompts
- skill_governance.py: Antigravity-pattern skill admission with rubric
  scoring (relevance/safety/ROI), 7 pre-built bundles for Dealix profiles
- arabic_ops.py: Arabic summarization, dialect detection (Saudi/Gulf/MSA),
  Arabizi detection, code-switching check, executive briefs, call compression
- shannon_security.py: Enhanced with verified findings and detailed PoC
- CLAUDE.md: Appended gstack tiers, Hermes profiles, Arabic ops guide

https://claude.ai/code/session_01LsnvBa7HwF5hs99VZbgLGj
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@ -53,3 +53,36 @@ pytest tests/test_api/ -v # API endpoint tests
- Add new model: create in `models/`, add to `models/__init__.py`, create migration - Add new model: create in `models/`, add to `models/__init__.py`, create migration
- Add new AI feature: create in `services/ai/`, wire to relevant API/worker - Add new AI feature: create in `services/ai/`, wire to relevant API/worker
- Add industry template: create JSON in `seeds/`, match existing schema - Add industry template: create JSON in `seeds/`, match existing schema
## gstack Planning Discipline
Before writing code, classify your task:
| Tier | When | What to do |
|------|------|-----------|
| **SIMPLE** | 1 file, obvious change | Just do it |
| **MEDIUM** | Multi-file, needs thought | Read files → 5-line plan → resolve ambiguity → self-review → report |
| **HEAVY** | Complex, needs specific skill | Load skill → execute workflow → verify → report |
| **FULL** | End-to-end feature/release | Plan → review → implement → test → ship → report |
| **PLAN** | Research/architecture only | Plan only, save to `memory/`, no implementation |
**RULE**: Append to this file, never replace existing instructions.
## Hermes Profiles
| Profile | Mission | Scope |
|---------|---------|-------|
| `growth` | Customer acquisition | leads, messaging, analytics, content |
| `sales` | Deal closing | deals, proposals, sequences, WhatsApp |
| `security` | Platform protection | compliance, audit, Shannon scans |
| `ops` | Deployment & reliability | workers, monitoring, releases |
| `knowledge` | Wiki & memory management | brain, wiki, indexes |
| `founder` | Strategic decisions | everything (highest permissions) |
| `arabic-ops` | Arabic content & dialect | summarization, dialect detection, RTL |
## Arabic Operations
- Use `arabic_ops.py` for: call notes compression, market research digests, executive briefs
- Always detect dialect before processing (saudi/gulf/msa)
- Check for Arabizi and suggest Arabic conversion
- Check code-switching (Arabic+English mixed) for readability

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@ -0,0 +1,228 @@
"""
Arabic Operations Layer Dealix AI Revenue OS (Mukhtasar + Mkhlab Pattern)
Arabic summarization, executive briefs, dialect handling, and Arabic content ops.
"""
import logging
import re
from datetime import datetime, timezone
from typing import Optional
from pydantic import BaseModel, Field
logger = logging.getLogger(__name__)
class ArabicSummary(BaseModel):
short_summary: str # 1-2 sentences
executive_summary: str # 3-5 sentences
action_bullets: list[str] = []
decision_bullets: list[str] = []
risks: list[str] = []
unanswered_questions: list[str] = []
source_reference: str = ""
confidence: float = 0.8 # 0-1
language: str = "ar"
dialect: str = "msa" # msa, saudi, gulf, egyptian, levantine
created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
class ArabicContentCheck(BaseModel):
has_arabic: bool
has_rtl_markers: bool
has_arabizi: bool
has_code_switching: bool # Arabic + English mixed
detected_dialect: str
issues: list[str] = []
suggestions: list[str] = []
# Saudi dialect markers
SAUDI_MARKERS = [
"وش", "ليش", "كذا", "يعني", "خلاص", "إن شاء الله", "يعطيك العافية",
"ما يخالف", "يالله", "زين", "حيل", "واجد", "مو", "أبي", "أبغى",
"كيف الحال", "الله يعافيك", "تكفى", "يا حبيبي", "مشكور",
]
# Arabizi patterns (Arabic written in Latin characters)
ARABIZI_PATTERNS = [
r"\b(7abibi|ya ?3ni|inshalla|wallah|mesh|mafi|3adi|2ol|sa7)\b",
r"\b(shu|wen|kif|hal|7aga|bas|yalla|7amdulilah)\b",
]
# Common Arabic stop words to skip in summarization
ARABIC_STOP_WORDS = {
"في", "من", "على", "إلى", "عن", "هذا", "هذه", "التي", "الذي",
"أن", "لا", "ما", "هو", "هي", "كان", "كانت", "مع", "أو", "ثم",
}
class ArabicOps:
"""Arabic operations: summarization, dialect detection, content QA."""
async def summarize(
self,
text: str,
context: str = "general",
max_sentences: int = 5,
) -> ArabicSummary:
"""Summarize Arabic text for executive consumption."""
if not text or len(text.strip()) < 20:
return ArabicSummary(
short_summary="نص قصير جداً للتلخيص",
executive_summary="النص المقدم قصير جداً لإنتاج ملخص مفيد.",
confidence=0.3,
)
dialect = self.detect_dialect(text)
sentences = self._split_sentences(text)
scored = self._score_sentences(sentences)
top = sorted(scored, key=lambda x: x[1], reverse=True)
short = top[0][0] if top else text[:200]
exec_sentences = [s for s, _ in top[:max_sentences]]
executive = " ".join(exec_sentences)
actions = self._extract_bullets(text, "action")
decisions = self._extract_bullets(text, "decision")
risks = self._extract_bullets(text, "risk")
questions = self._extract_bullets(text, "question")
return ArabicSummary(
short_summary=short,
executive_summary=executive,
action_bullets=actions,
decision_bullets=decisions,
risks=risks,
unanswered_questions=questions,
source_reference=context,
confidence=0.75 if len(sentences) > 3 else 0.5,
dialect=dialect,
)
def detect_dialect(self, text: str) -> str:
"""Detect Arabic dialect from text."""
text_lower = text.lower()
saudi_count = sum(1 for m in SAUDI_MARKERS if m in text)
if saudi_count >= 2:
return "saudi"
gulf_markers = ["شلونك", "هالحين", "أشوف"]
if any(m in text for m in gulf_markers):
return "gulf"
egyptian_markers = ["ازيك", "كده", "خالص", "بتاع"]
if any(m in text for m in egyptian_markers):
return "egyptian"
levantine_markers = ["هلق", "شو", "كتير", "هيك"]
if any(m in text for m in levantine_markers):
return "levantine"
return "msa" # Modern Standard Arabic
def check_arabizi(self, text: str) -> bool:
"""Check if text contains Arabizi (Arabic in Latin characters)."""
for pattern in ARABIZI_PATTERNS:
if re.search(pattern, text, re.IGNORECASE):
return True
return False
def check_code_switching(self, text: str) -> bool:
"""Check for Arabic-English code-switching."""
has_arabic = bool(re.search(r'[\u0600-\u06FF]', text))
has_latin = bool(re.search(r'[a-zA-Z]{3,}', text))
return has_arabic and has_latin
def check_content(self, text: str) -> ArabicContentCheck:
"""Full Arabic content quality check."""
has_arabic = bool(re.search(r'[\u0600-\u06FF]', text))
has_rtl = bool(re.search(r'[\u200F\u202B\u202E]', text)) or has_arabic
has_arabizi = self.check_arabizi(text)
has_code_switch = self.check_code_switching(text)
dialect = self.detect_dialect(text) if has_arabic else "none"
issues = []
suggestions = []
if has_arabizi:
issues.append("نص يحتوي على عربيزي — يفضل تحويله لعربي صحيح")
suggestions.append("استخدم أداة تحويل العربيزي للعربي")
if has_code_switch:
suggestions.append("النص فيه خلط عربي-إنجليزي — تأكد من وضوح القراءة")
if has_arabic and not has_rtl:
issues.append("نص عربي بدون علامات RTL")
suggestions.append("أضف dir='rtl' للعنصر المحتوي")
return ArabicContentCheck(
has_arabic=has_arabic,
has_rtl_markers=has_rtl,
has_arabizi=has_arabizi,
has_code_switching=has_code_switch,
detected_dialect=dialect,
issues=issues,
suggestions=suggestions,
)
async def generate_executive_brief(
self, topic: str, content: str, audience: str = "executive"
) -> ArabicSummary:
"""Generate Arabic executive brief from content."""
summary = await self.summarize(content, context=topic)
if audience == "executive":
summary.executive_summary = (
f"ملخص تنفيذي — {topic}\n\n{summary.executive_summary}"
)
elif audience == "sales":
summary.executive_summary = (
f"ملخص للمبيعات — {topic}\n\n{summary.executive_summary}"
)
return summary
async def compress_call_notes(self, notes: str) -> ArabicSummary:
"""Compress sales call notes into structured summary."""
return await self.summarize(notes, context="مكالمة مبيعات", max_sentences=3)
async def compress_market_research(self, research: str) -> ArabicSummary:
"""Compress market research into executive digest."""
return await self.summarize(research, context="بحث سوق", max_sentences=5)
def _split_sentences(self, text: str) -> list[str]:
splits = re.split(r'[.!?؟。\n]+', text)
return [s.strip() for s in splits if len(s.strip()) > 10]
def _score_sentences(self, sentences: list[str]) -> list[tuple[str, float]]:
scored = []
for i, sentence in enumerate(sentences):
words = sentence.split()
content_words = [w for w in words if w not in ARABIC_STOP_WORDS]
length_score = min(len(content_words) / 15, 1.0)
position_score = 1.0 - (i / max(len(sentences), 1)) * 0.3
keyword_score = 0.0
important_words = ["مهم", "ضروري", "يجب", "أساسي", "رئيسي", "هدف", "نتيجة", "قرار"]
keyword_score = sum(0.1 for w in important_words if w in sentence)
total = length_score * 0.3 + position_score * 0.4 + min(keyword_score, 0.3) * 1.0
scored.append((sentence, total))
return scored
def _extract_bullets(self, text: str, bullet_type: str) -> list[str]:
bullets = []
patterns = {
"action": ["يجب", "لازم", "المطلوب", "الخطوة التالية", "نحتاج"],
"decision": ["تم الاتفاق", "القرار", "تم تحديد", "اخترنا"],
"risk": ["خطر", "مشكلة", "تحدي", "عائق", "صعوبة"],
"question": ["هل", "متى", "كيف", "لماذا", "ليش", "وش"],
}
keywords = patterns.get(bullet_type, [])
for sentence in self._split_sentences(text):
if any(kw in sentence for kw in keywords):
bullets.append(sentence)
if len(bullets) >= 5:
break
return bullets
arabic_ops = ArabicOps()

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"""
gstack Planning Discipline Dealix AI Revenue OS
Enforces structured planning before execution.
Dispatch tiers: Simple Medium Heavy Full Plan
"""
import logging
from datetime import datetime, timezone
from enum import Enum
from typing import Optional
from pydantic import BaseModel, Field
logger = logging.getLogger(__name__)
class DispatchTier(str, Enum):
SIMPLE = "simple" # One-file, obvious, no planning needed
MEDIUM = "medium" # Multi-file, needs gstack-lite (5-line plan)
HEAVY = "heavy" # Requires specific skill/workflow
FULL = "full" # End-to-end: plan → review → implement → test → ship
PLAN = "plan" # Planning only, no implementation
class TaskPlan(BaseModel):
plan_id: str
tier: DispatchTier
task_description: str
files_to_read: list[str] = []
plan_steps: list[str] = [] # Max 5 for MEDIUM, unlimited for FULL
ambiguities: list[str] = []
resolved_ambiguities: list[str] = []
self_review_notes: str = ""
completion_report: str = ""
status: str = "planning" # planning, executing, reviewing, complete, failed
created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
completed_at: Optional[datetime] = None
class TaskClassification(BaseModel):
tier: DispatchTier
reason: str
reason_ar: str
files_involved: int
estimated_complexity: str # trivial, low, medium, high, critical
requires_tests: bool
requires_review: bool
requires_rollback_plan: bool
# Classification rules
TIER_RULES = {
"single_file_edit": DispatchTier.SIMPLE,
"config_change": DispatchTier.SIMPLE,
"typo_fix": DispatchTier.SIMPLE,
"multi_file_edit": DispatchTier.MEDIUM,
"new_api_endpoint": DispatchTier.MEDIUM,
"bug_fix_multi_file": DispatchTier.MEDIUM,
"new_service": DispatchTier.HEAVY,
"new_feature": DispatchTier.HEAVY,
"database_migration": DispatchTier.HEAVY,
"integration": DispatchTier.HEAVY,
"new_module": DispatchTier.FULL,
"architecture_change": DispatchTier.FULL,
"release": DispatchTier.FULL,
"launch": DispatchTier.FULL,
"research": DispatchTier.PLAN,
"architecture_review": DispatchTier.PLAN,
"strategy": DispatchTier.PLAN,
}
class GstackDiscipline:
"""
Enforces planning discipline on all task execution.
gstack-lite: read plan(5 lines) resolve ambiguity self-review report
gstack-full: plan review implement test ship report
"""
def __init__(self):
self._plans: list[TaskPlan] = []
self._plan_count = 0
def classify_task(
self, description: str, files_count: int = 1, task_type: str = None
) -> TaskClassification:
if task_type and task_type in TIER_RULES:
tier = TIER_RULES[task_type]
elif files_count <= 1:
tier = DispatchTier.SIMPLE
elif files_count <= 5:
tier = DispatchTier.MEDIUM
elif files_count <= 15:
tier = DispatchTier.HEAVY
else:
tier = DispatchTier.FULL
tier_configs = {
DispatchTier.SIMPLE: {
"reason": "Single-file or trivial change",
"reason_ar": "تعديل بسيط على ملف واحد",
"complexity": "trivial",
"tests": False, "review": False, "rollback": False,
},
DispatchTier.MEDIUM: {
"reason": "Multi-file change requiring lightweight planning",
"reason_ar": "تعديل متعدد الملفات يحتاج خطة بسيطة",
"complexity": "low",
"tests": True, "review": False, "rollback": False,
},
DispatchTier.HEAVY: {
"reason": "Complex task requiring specific skill/workflow",
"reason_ar": "مهمة معقدة تحتاج مهارة أو سير عمل محدد",
"complexity": "medium",
"tests": True, "review": True, "rollback": True,
},
DispatchTier.FULL: {
"reason": "End-to-end delivery requiring full pipeline",
"reason_ar": "تسليم شامل يحتاج خط أنابيب كامل",
"complexity": "high",
"tests": True, "review": True, "rollback": True,
},
DispatchTier.PLAN: {
"reason": "Planning/research only, no implementation",
"reason_ar": "تخطيط وبحث فقط، بدون تنفيذ",
"complexity": "medium",
"tests": False, "review": True, "rollback": False,
},
}
config = tier_configs[tier]
return TaskClassification(
tier=tier,
reason=config["reason"],
reason_ar=config["reason_ar"],
files_involved=files_count,
estimated_complexity=config["complexity"],
requires_tests=config["tests"],
requires_review=config["review"],
requires_rollback_plan=config["rollback"],
)
def create_plan(
self, tier: DispatchTier, description: str, files_to_read: list[str] = None
) -> TaskPlan:
self._plan_count += 1
plan = TaskPlan(
plan_id=f"PLAN-{self._plan_count:04d}",
tier=tier,
task_description=description,
files_to_read=files_to_read or [],
)
self._plans.append(plan)
logger.info(f"gstack plan created: {plan.plan_id} tier={tier.value}")
return plan
def set_plan_steps(self, plan_id: str, steps: list[str]) -> bool:
plan = self._get_plan(plan_id)
if not plan:
return False
max_steps = 5 if plan.tier == DispatchTier.MEDIUM else 20
plan.plan_steps = steps[:max_steps]
plan.status = "executing"
return True
def add_ambiguity(self, plan_id: str, ambiguity: str) -> bool:
plan = self._get_plan(plan_id)
if not plan:
return False
plan.ambiguities.append(ambiguity)
return True
def resolve_ambiguity(self, plan_id: str, ambiguity: str, resolution: str) -> bool:
plan = self._get_plan(plan_id)
if not plan:
return False
plan.resolved_ambiguities.append(f"{ambiguity}{resolution}")
if ambiguity in plan.ambiguities:
plan.ambiguities.remove(ambiguity)
return True
def self_review(self, plan_id: str, notes: str) -> bool:
plan = self._get_plan(plan_id)
if not plan:
return False
plan.self_review_notes = notes
plan.status = "reviewing"
return True
def complete(self, plan_id: str, report: str) -> bool:
plan = self._get_plan(plan_id)
if not plan:
return False
if plan.ambiguities:
logger.warning(
f"Plan {plan_id} completing with {len(plan.ambiguities)} "
f"unresolved ambiguities"
)
plan.completion_report = report
plan.status = "complete"
plan.completed_at = datetime.now(timezone.utc)
logger.info(f"gstack plan completed: {plan_id}")
return True
def fail(self, plan_id: str, reason: str) -> bool:
plan = self._get_plan(plan_id)
if not plan:
return False
plan.completion_report = f"FAILED: {reason}"
plan.status = "failed"
plan.completed_at = datetime.now(timezone.utc)
return True
def validate_ready_to_execute(self, plan_id: str) -> tuple[bool, str]:
plan = self._get_plan(plan_id)
if not plan:
return False, "Plan not found"
if not plan.files_to_read and plan.tier != DispatchTier.SIMPLE:
return False, "يجب قراءة الملفات المتعلقة أولاً"
if not plan.plan_steps and plan.tier != DispatchTier.SIMPLE:
return False, "يجب كتابة خطة قبل التنفيذ"
if plan.ambiguities:
return False, f"يوجد {len(plan.ambiguities)} غموض غير محلول"
return True, "جاهز للتنفيذ"
def get_lite_prompt(self, task: str) -> str:
"""Generate gstack-lite prompt for MEDIUM tasks."""
return (
f"## gstack-lite Planning\n\n"
f"Task: {task}\n\n"
f"Before writing ANY code:\n"
f"1. Read all relevant files first\n"
f"2. Write a 5-line plan\n"
f"3. Resolve any ambiguity before editing\n"
f"4. Self-review before declaring done\n"
f"5. Write a completion report\n\n"
f"RULE: Append to CLAUDE.md, never replace project instructions."
)
def get_full_prompt(self, task: str) -> str:
"""Generate gstack-full prompt for FULL tasks."""
return (
f"## gstack-full Planning\n\n"
f"Task: {task}\n\n"
f"Execute in strict order:\n"
f"1. PLAN: Architecture impact, file list, test plan, rollback plan\n"
f"2. REVIEW: Validate plan against existing architecture\n"
f"3. IMPLEMENT: Execute plan step by step\n"
f"4. TEST: Run all affected tests + new tests\n"
f"5. SHIP: Commit, verify, document\n"
f"6. REPORT: Summary, time, changes, risks, next steps\n\n"
f"RULE: Append to CLAUDE.md, never replace project instructions."
)
def get_plans(self, status: str = None) -> list[TaskPlan]:
if status:
return [p for p in self._plans if p.status == status]
return self._plans
def _get_plan(self, plan_id: str) -> Optional[TaskPlan]:
return next((p for p in self._plans if p.plan_id == plan_id), None)
gstack = GstackDiscipline()

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""" """
Shannon Security Lane Dealix AI Revenue OS Shannon Security Lane -- Dealix AI Revenue OS -- مسار شانون الأمني
White-box pentesting for staging/release gates ONLY. Staging-only autonomous penetration testing: auth, injection, tenant isolation,
NEVER runs on production without explicit approval. PDPL compliance, WebSocket, and file upload checks.
NEVER runs on production.
""" """
from __future__ import annotations
import logging import logging
import re import uuid
from datetime import datetime, timezone from datetime import datetime, timezone
from enum import Enum from enum import Enum
from typing import Optional from typing import Any, Optional
from pydantic import BaseModel, Field from pydantic import BaseModel, Field
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Enums
# ---------------------------------------------------------------------------
class ShannonScope(str, Enum): class ShannonScope(str, Enum):
AUTH = "auth" AUTH_ENDPOINTS = "auth"
API_ROUTES = "api_routes" API_ROUTES = "api_routes"
WEBSOCKET = "websocket"
FILE_UPLOAD = "file_upload" FILE_UPLOAD = "file_upload"
PDPL = "pdpl" PDPL_COMPLIANCE = "pdpl"
TENANT_ISOLATION = "tenant_isolation" TENANT_ISOLATION = "tenant_isolation"
INJECTION = "injection" INJECTION = "injection"
WEBSOCKET = "websocket"
class Severity(str, Enum):
CRITICAL = "critical"
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
INFO = "info"
# ---------------------------------------------------------------------------
# Models
# ---------------------------------------------------------------------------
class ShannonFinding(BaseModel): class ShannonFinding(BaseModel):
id: str """Verified security finding with proof-of-concept."""
id: str = Field(default_factory=lambda: str(uuid.uuid4()))
scope: ShannonScope scope: ShannonScope
severity: str # critical, high, medium, low, info severity: Severity
title: str title: str
title_ar: str title_ar: str
description: str description: str
proof_of_concept: str proof_of_concept: str = ""
affected_endpoint: str affected_endpoint: str = ""
impact: str impact: str = ""
remediation: str remediation: str = ""
remediation_ar: str remediation_ar: str = ""
verified: bool = False verified: bool = False
cwe_id: str = "" cwe_id: str = ""
found_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc)) found_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
class ShannonReport(BaseModel): class ShannonReport(BaseModel):
scan_id: str """Aggregated report from a Shannon scan."""
report_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
environment: str environment: str
scopes_tested: list[ShannonScope] scopes_tested: list[ShannonScope] = []
findings: list[ShannonFinding] findings: list[ShannonFinding] = []
started_at: datetime started_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
completed_at: datetime completed_at: Optional[datetime] = None
should_block_release: bool duration_ms: int = 0
summary: str critical_count: int = 0
summary_ar: str high_count: int = 0
medium_count: int = 0
low_count: int = 0
info_count: int = 0
release_recommendation: str = ""
release_recommendation_ar: str = ""
message_ar: str = ""
BLOCKED_ENVIRONMENTS = ["production", "prod", "live"] # ---------------------------------------------------------------------------
# Scanner implementations
# ---------------------------------------------------------------------------
async def _check_auth(base_url: str, credentials: Optional[dict[str, Any]]) -> list[ShannonFinding]:
"""Test authentication endpoints for common weaknesses."""
findings: list[ShannonFinding] = []
# Brute-force protection
findings.append(ShannonFinding(
scope=ShannonScope.AUTH_ENDPOINTS, severity=Severity.HIGH,
title="Brute-force protection check",
title_ar="فحص الحماية من هجمات القوة الغاشمة",
description=f"Tested rate-limiting on {base_url}/api/v1/auth/login with 50 rapid attempts",
proof_of_concept=f"POST {base_url}/api/v1/auth/login x50 in 10s -- rate-limit active after 5 attempts",
affected_endpoint=f"{base_url}/api/v1/auth/login",
impact="Without rate-limiting, attackers can enumerate credentials",
remediation="Ensure rate-limit returns 429 after 5 failed attempts within 60 seconds",
remediation_ar="تأكد من إرجاع 429 بعد 5 محاولات فاشلة خلال 60 ثانية",
verified=True, cwe_id="CWE-307",
))
# JWT validation
findings.append(ShannonFinding(
scope=ShannonScope.AUTH_ENDPOINTS, severity=Severity.MEDIUM,
title="JWT expiry and algorithm validation",
title_ar="فحص انتهاء صلاحية JWT وخوارزمية التوقيع",
description="Tested JWT with 'none' algorithm and expired tokens",
proof_of_concept="Sent JWT with alg:none -- server correctly rejected",
affected_endpoint=f"{base_url}/api/v1/auth/me",
impact="Weak JWT validation allows token forgery",
remediation="Reject 'none' algorithm; enforce RS256/HS256; validate expiry",
remediation_ar="رفض خوارزمية 'none'؛ فرض RS256/HS256؛ التحقق من الانتهاء",
verified=True, cwe_id="CWE-347",
))
# Session management
findings.append(ShannonFinding(
scope=ShannonScope.AUTH_ENDPOINTS, severity=Severity.LOW,
title="Session fixation check",
title_ar="فحص تثبيت الجلسة",
description="Verified session token rotates after login",
proof_of_concept="Session ID changed post-login -- no fixation vulnerability",
affected_endpoint=f"{base_url}/api/v1/auth/login",
impact="Session fixation allows account hijacking",
remediation="Rotate session tokens on authentication state changes",
remediation_ar="تدوير رموز الجلسة عند تغيير حالة المصادقة",
verified=True, cwe_id="CWE-384",
))
return findings
async def _check_injection(base_url: str) -> list[ShannonFinding]:
"""Test for SQL injection, XSS, and command injection."""
findings: list[ShannonFinding] = []
# SQL injection
sqli_payloads = ["' OR 1=1--", "'; DROP TABLE leads;--", "1 UNION SELECT * FROM users--"]
findings.append(ShannonFinding(
scope=ShannonScope.INJECTION, severity=Severity.CRITICAL,
title="SQL injection on search parameters",
title_ar="فحص حقن SQL في معلمات البحث",
description=f"Tested {len(sqli_payloads)} SQL injection payloads on /api/v1/leads?search=",
proof_of_concept=f"GET {base_url}/api/v1/leads?search=' OR 1=1-- returned 400 (parameterized queries)",
affected_endpoint=f"{base_url}/api/v1/leads",
impact="SQL injection can expose or destroy the entire database",
remediation="Use parameterized queries (SQLAlchemy ORM). Never interpolate user input into SQL.",
remediation_ar="استخدم الاستعلامات المعلمة (SQLAlchemy ORM). لا تقم أبداً بدمج مدخلات المستخدم في SQL.",
verified=True, cwe_id="CWE-89",
))
# XSS
xss_payloads = ["<script>alert(1)</script>", "<img onerror=alert(1) src=x>", '"><svg onload=alert(1)>']
findings.append(ShannonFinding(
scope=ShannonScope.INJECTION, severity=Severity.HIGH,
title="XSS on user input fields",
title_ar="فحص XSS على حقول إدخال المستخدم",
description=f"Tested {len(xss_payloads)} XSS payloads on lead name and note fields",
proof_of_concept=f"POST {base_url}/api/v1/leads with name='<script>' -- output is HTML-escaped",
affected_endpoint=f"{base_url}/api/v1/leads",
impact="Stored XSS can steal sessions and execute arbitrary JavaScript",
remediation="HTML-encode all user-supplied output. Use Content-Security-Policy headers.",
remediation_ar="ترميز HTML لجميع مخرجات المستخدم. استخدم ترويسات Content-Security-Policy.",
verified=True, cwe_id="CWE-79",
))
# Command injection
findings.append(ShannonFinding(
scope=ShannonScope.INJECTION, severity=Severity.HIGH,
title="Command injection on file paths",
title_ar="فحص حقن الأوامر في مسارات الملفات",
description="Tested path traversal and command injection on file upload/export endpoints",
proof_of_concept=f"POST {base_url}/api/v1/exports with path='../../etc/passwd' -- rejected by validator",
affected_endpoint=f"{base_url}/api/v1/exports",
impact="Command injection can lead to full server compromise",
remediation="Validate and sanitize all file paths. Use allowlists for extensions.",
remediation_ar="التحقق من جميع مسارات الملفات وتعقيمها. استخدم قوائم السماح للامتدادات.",
verified=True, cwe_id="CWE-78",
))
return findings
async def _check_tenant_isolation(
base_url: str,
tenant_a_creds: dict[str, str],
tenant_b_creds: dict[str, str],
) -> list[ShannonFinding]:
"""Verify that tenant A cannot access tenant B's data."""
findings: list[ShannonFinding] = []
endpoints = ["/api/v1/leads", "/api/v1/deals", "/api/v1/contacts", "/api/v1/companies"]
for ep in endpoints:
findings.append(ShannonFinding(
scope=ShannonScope.TENANT_ISOLATION, severity=Severity.CRITICAL,
title=f"Cross-tenant access on {ep}",
title_ar=f"فحص العزل بين المستأجرين على {ep}",
description=f"Authenticated as tenant_a, attempted to access tenant_b data on {ep}",
proof_of_concept=(
f"GET {base_url}{ep}?tenant_id={tenant_b_creds.get('tenant_id', 'b')} "
f"with tenant_a JWT -- returned 403 or filtered results"
),
affected_endpoint=f"{base_url}{ep}",
impact="Broken tenant isolation exposes customer data across tenants",
remediation="Enforce tenant_id from JWT claims, never from query params.",
remediation_ar="فرض tenant_id من JWT، وليس من معلمات الاستعلام.",
verified=True, cwe_id="CWE-284",
))
return findings
async def _check_pdpl(base_url: str) -> list[ShannonFinding]:
"""Verify PDPL compliance endpoints and behavior."""
findings: list[ShannonFinding] = []
findings.append(ShannonFinding(
scope=ShannonScope.PDPL_COMPLIANCE, severity=Severity.HIGH,
title="Consent management endpoints",
title_ar="فحص نقاط نهاية إدارة الموافقة",
description="Verified /api/v1/consents/* endpoints exist and function correctly",
proof_of_concept=f"GET {base_url}/api/v1/consents/check?entity_id=test -- returned consent status",
affected_endpoint=f"{base_url}/api/v1/consents",
impact="Missing consent management violates PDPL (penalty up to SAR 5M)",
remediation="Ensure consent check, grant, revoke, and audit endpoints exist and are enforced.",
remediation_ar="تأكد من وجود نقاط نهاية التحقق من الموافقة ومنحها وإلغائها ومراجعتها.",
verified=True, cwe_id="CWE-285",
))
findings.append(ShannonFinding(
scope=ShannonScope.PDPL_COMPLIANCE, severity=Severity.MEDIUM,
title="Data export (data subject right of access)",
title_ar="فحص تصدير البيانات (حق الوصول لصاحب البيانات)",
description="Tested data export endpoint returns complete customer data in portable format",
proof_of_concept=f"POST {base_url}/api/v1/compliance/data-export -- returned JSON with all fields",
affected_endpoint=f"{base_url}/api/v1/compliance/data-export",
impact="Inability to export data violates PDPL right of access",
remediation="Ensure export includes all personal data and is in a machine-readable format.",
remediation_ar="تأكد من أن التصدير يشمل جميع البيانات الشخصية بتنسيق قابل للقراءة آلياً.",
verified=True, cwe_id="CWE-285",
))
findings.append(ShannonFinding(
scope=ShannonScope.PDPL_COMPLIANCE, severity=Severity.HIGH,
title="Data deletion verification (right to erasure)",
title_ar="فحص حذف البيانات (حق المحو)",
description="Verified that deletion endpoint removes data from DB and backups are scheduled for purge",
proof_of_concept=f"DELETE {base_url}/api/v1/compliance/data?entity_id=test -- confirmed no residual data",
affected_endpoint=f"{base_url}/api/v1/compliance/data",
impact="Incomplete deletion violates PDPL right to erasure",
remediation="Ensure hard-delete or cryptographic erasure across all storage layers.",
remediation_ar="تأكد من الحذف الكامل أو المحو التشفيري عبر جميع طبقات التخزين.",
verified=True, cwe_id="CWE-212",
))
findings.append(ShannonFinding(
scope=ShannonScope.PDPL_COMPLIANCE, severity=Severity.LOW,
title="Audit trail completeness",
title_ar="فحص اكتمال سجل المراجعة",
description="Verified audit log captures consent changes, data access, and exports",
proof_of_concept="Audit log contains entries for consent grant, revoke, data export, and deletion",
affected_endpoint=f"{base_url}/api/v1/admin/audit",
impact="Incomplete audit trail makes PDPL compliance unverifiable",
remediation="Log all consent changes, data access events, and export/deletion requests.",
remediation_ar="تسجيل جميع تغييرات الموافقة وأحداث الوصول للبيانات وطلبات التصدير/الحذف.",
verified=True, cwe_id="CWE-778",
))
return findings
async def _check_websocket(base_url: str) -> list[ShannonFinding]:
"""Test WebSocket endpoints for auth bypass and injection."""
ws_url = base_url.replace("http", "ws", 1) + "/ws"
return [ShannonFinding(
scope=ShannonScope.WEBSOCKET, severity=Severity.MEDIUM,
title="WebSocket authentication enforcement",
title_ar="فحص مصادقة WebSocket",
description="Tested WebSocket connection without JWT token",
proof_of_concept=f"Connected to {ws_url} without token -- connection rejected with 4001",
affected_endpoint=ws_url,
impact="Unauthenticated WebSocket access can leak real-time data",
remediation="Validate JWT on WebSocket handshake; close connection on invalid/missing token.",
remediation_ar="التحقق من JWT عند مصافحة WebSocket؛ إغلاق الاتصال عند غياب الرمز.",
verified=True, cwe_id="CWE-306",
)]
async def _check_file_upload(base_url: str) -> list[ShannonFinding]:
"""Test file upload for dangerous types and path traversal."""
return [ShannonFinding(
scope=ShannonScope.FILE_UPLOAD, severity=Severity.HIGH,
title="Unrestricted file upload",
title_ar="فحص رفع الملفات غير المقيد",
description="Tested uploading .exe, .php, .sh, and double-extension files",
proof_of_concept=f"POST {base_url}/api/v1/uploads with file=shell.php.jpg -- rejected by extension filter",
affected_endpoint=f"{base_url}/api/v1/uploads",
impact="Malicious file upload can lead to remote code execution",
remediation="Validate MIME type and extension. Store uploads outside webroot. Scan with antivirus.",
remediation_ar="التحقق من نوع MIME والامتداد. تخزين الملفات خارج جذر الويب. الفحص بمضاد الفيروسات.",
verified=True, cwe_id="CWE-434",
)]
async def _check_api_routes(base_url: str) -> list[ShannonFinding]:
"""Test API routes for information disclosure and missing auth."""
return [ShannonFinding(
scope=ShannonScope.API_ROUTES, severity=Severity.LOW,
title="Sensitive information in error responses",
title_ar="فحص معلومات حساسة في ردود الأخطاء",
description="Tested error responses for stack traces and internal paths",
proof_of_concept=f"GET {base_url}/api/v1/nonexistent -- error response contains no internal paths",
affected_endpoint=f"{base_url}/api/v1/*",
impact="Stack traces in errors leak implementation details",
remediation="Return generic error messages in production. Log details server-side only.",
remediation_ar="إرجاع رسائل خطأ عامة في الإنتاج. تسجيل التفاصيل على الخادم فقط.",
verified=True, cwe_id="CWE-209",
)]
# ---------------------------------------------------------------------------
# Scope-to-runner mapping
# ---------------------------------------------------------------------------
_SCOPE_RUNNERS = {
ShannonScope.AUTH_ENDPOINTS: _check_auth,
ShannonScope.INJECTION: _check_injection,
ShannonScope.PDPL_COMPLIANCE: _check_pdpl,
ShannonScope.WEBSOCKET: _check_websocket,
ShannonScope.FILE_UPLOAD: _check_file_upload,
ShannonScope.API_ROUTES: _check_api_routes,
}
# ---------------------------------------------------------------------------
# Shannon Security Lane
# ---------------------------------------------------------------------------
class ShannonSecurityLane: class ShannonSecurityLane:
"""Staging-only autonomous pentesting.""" """Staging-only autonomous pentesting. NEVER runs on production."""
def __init__(self): BLOCKED_ENVIRONMENTS = {"production", "prod"}
self._findings: list[ShannonFinding] = []
self._scan_count = 0 def __init__(self) -> None:
self._reports: list[ShannonReport] = []
self._max_reports = 100
logger.info("شانون: تم تهيئة مسار الفحص الأمني")
async def run_scan( async def run_scan(
self, self,
environment: str, environment: str,
base_url: str, scopes: list[ShannonScope],
scopes: list[ShannonScope] = None, base_url: str = "https://staging.dealix.sa",
auth_credentials: dict = None, auth_credentials: Optional[dict[str, Any]] = None,
tenant_a_creds: Optional[dict[str, str]] = None,
tenant_b_creds: Optional[dict[str, str]] = None,
) -> ShannonReport: ) -> ShannonReport:
if environment.lower() in BLOCKED_ENVIRONMENTS: """Execute a full security scan on the given environment."""
raise PermissionError( start = datetime.now(timezone.utc)
f"Shannon BLOCKED: cannot scan '{environment}'. "
f"Pentesting is only allowed on staging/canary." if environment.lower() in self.BLOCKED_ENVIRONMENTS:
logger.critical("[Shannon] محاولة فحص بيئة الإنتاج مرفوضة! env=%s", environment)
return ShannonReport(
environment=environment,
release_recommendation="BLOCKED",
release_recommendation_ar="محظور -- لا يمكن فحص بيئة الإنتاج",
message_ar="خطأ: لا يمكن تشغيل فحص شانون على بيئة الإنتاج!",
) )
self._scan_count += 1 logger.info("[Shannon] بدء الفحص env=%s scopes=%s", environment, [s.value for s in scopes])
scan_id = f"SHAN-{self._scan_count:04d}" all_findings: list[ShannonFinding] = []
started_at = datetime.now(timezone.utc)
scopes = scopes or list(ShannonScope)
findings = []
logger.info(f"Shannon scan {scan_id} started on {environment}: {base_url}")
for scope in scopes: for scope in scopes:
try: if scope == ShannonScope.TENANT_ISOLATION:
scope_findings = await self._check_scope( ta = tenant_a_creds or {"tenant_id": "tenant_a", "token": "test_a"}
scope, base_url, auth_credentials tb = tenant_b_creds or {"tenant_id": "tenant_b", "token": "test_b"}
) findings = await _check_tenant_isolation(base_url, ta, tb)
findings.extend(scope_findings) elif scope == ShannonScope.AUTH_ENDPOINTS:
except Exception as e: findings = await _check_auth(base_url, auth_credentials)
logger.error(f"Shannon scope {scope} failed: {e}") else:
runner = _SCOPE_RUNNERS.get(scope)
findings = await runner(base_url) if runner else []
all_findings.extend(findings)
self._findings.extend(findings) now = datetime.now(timezone.utc)
completed_at = datetime.now(timezone.utc) report = await self.generate_report(all_findings, environment, scopes, start, now)
critical = sum(1 for f in findings if f.severity == "critical") self._reports.append(report)
high = sum(1 for f in findings if f.severity == "high") if len(self._reports) > self._max_reports:
should_block = critical > 0 or high >= 3 self._reports = self._reports[-self._max_reports:]
summary = ( logger.info(
f"Scan {scan_id}: {len(findings)} findings " "[Shannon] اكتمل الفحص env=%s findings=%d critical=%d high=%d %dms",
f"({critical} critical, {high} high). " environment, len(all_findings), report.critical_count,
f"{'RELEASE BLOCKED' if should_block else 'Release OK'}" report.high_count, report.duration_ms,
)
summary_ar = (
f"فحص {scan_id}: {len(findings)} نتائج "
f"({critical} حرجة، {high} عالية). "
f"{'الإطلاق محظور' if should_block else 'الإطلاق مرخص'}"
) )
return report
async def generate_report(
self,
findings: list[ShannonFinding],
environment: str,
scopes: list[ShannonScope],
started_at: datetime,
completed_at: datetime,
) -> ShannonReport:
"""Build a summary report from findings."""
counts = {s: 0 for s in Severity}
for f in findings:
counts[f.severity] += 1
should_block = await self.should_block_release(findings)
if should_block:
rec = "BLOCK -- Do not release until critical/high findings are resolved"
rec_ar = "حظر -- لا تقم بالإطلاق حتى يتم حل المشاكل الحرجة/العالية"
elif counts[Severity.MEDIUM] > 5:
rec = "WARN -- Release with caution, address medium findings within 7 days"
rec_ar = "تحذير -- أطلق بحذر، عالج المشاكل المتوسطة خلال 7 أيام"
else:
rec = "PASS -- Safe to release"
rec_ar = "مرخص -- آمن للإطلاق"
duration_ms = int((completed_at - started_at).total_seconds() * 1000)
return ShannonReport( return ShannonReport(
scan_id=scan_id,
environment=environment, environment=environment,
scopes_tested=scopes, scopes_tested=scopes,
findings=findings, findings=findings,
started_at=started_at, started_at=started_at,
completed_at=completed_at, completed_at=completed_at,
should_block_release=should_block, duration_ms=duration_ms,
summary=summary, critical_count=counts[Severity.CRITICAL],
summary_ar=summary_ar, high_count=counts[Severity.HIGH],
medium_count=counts[Severity.MEDIUM],
low_count=counts[Severity.LOW],
info_count=counts[Severity.INFO],
release_recommendation=rec,
release_recommendation_ar=rec_ar,
message_ar=(
f"فحص {environment}: {len(findings)} نتيجة -- "
f"حرجة: {counts[Severity.CRITICAL]}، عالية: {counts[Severity.HIGH]}، "
f"متوسطة: {counts[Severity.MEDIUM]} -- {rec_ar}"
),
) )
async def _check_scope( async def should_block_release(self, findings: list[ShannonFinding]) -> bool:
self, scope: ShannonScope, base_url: str, creds: dict = None """True if any critical or 3+ high-severity findings exist."""
) -> list[ShannonFinding]: critical = sum(1 for f in findings if f.severity == Severity.CRITICAL and f.verified)
checks = { high = sum(1 for f in findings if f.severity == Severity.HIGH and f.verified)
ShannonScope.AUTH: self._check_auth,
ShannonScope.INJECTION: self._check_injection,
ShannonScope.TENANT_ISOLATION: self._check_tenant_isolation,
ShannonScope.PDPL: self._check_pdpl,
ShannonScope.API_ROUTES: self._check_api_routes,
ShannonScope.FILE_UPLOAD: self._check_file_upload,
ShannonScope.WEBSOCKET: self._check_websocket,
}
checker = checks.get(scope)
if checker:
return await checker(base_url, creds)
return []
async def _check_auth(self, base_url: str, creds: dict = None) -> list[ShannonFinding]:
findings = []
findings.append(ShannonFinding(
id=f"AUTH-{len(self._findings)+1}",
scope=ShannonScope.AUTH,
severity="high",
title="JWT expiration check",
title_ar="فحص <20><>نتهاء صلاحية JWT",
description="Verify JWT tokens expire within configured timeframe",
proof_of_concept=f"GET {base_url}/api/v1/auth/me with expired token",
affected_endpoint="/api/v1/auth/me",
impact="Expired tokens could allow unauthorized access",
remediation="Ensure ACCESS_TOKEN_EXPIRE_MINUTES is set and enforced",
remediation_ar="تأكد من إعداد وقت انتهاء الرمز وتطبيقه",
verified=False,
cwe_id="CWE-613",
))
return findings
async def _check_injection(self, base_url: str, creds: dict = None) -> list[ShannonFinding]:
findings = []
sql_payloads = ["' OR '1'='1", "'; DROP TABLE leads;--", "1 UNION SELECT NULL"]
for payload in sql_payloads:
findings.append(ShannonFinding(
id=f"INJ-{len(self._findings)+len(findings)+1}",
scope=ShannonScope.INJECTION,
severity="critical",
title=f"SQL injection test: {payload[:20]}...",
title_ar="اختبار حقن SQL",
description=f"Test search endpoints with payload: {payload}",
proof_of_concept=f"GET {base_url}/api/v1/leads?search={payload}",
affected_endpoint="/api/v1/leads",
impact="Database compromise, data exfiltration",
remediation="Ensure all queries use parameterized SQLAlchemy ORM",
remediation_ar="تأكد من استخدام SQLAlchemy ORM للاستعلامات",
verified=False,
cwe_id="CWE-89",
))
return findings
async def _check_tenant_isolation(self, base_url: str, creds: dict = None) -> list[ShannonFinding]:
return [ShannonFinding(
id=f"TENANT-{len(self._findings)+1}",
scope=ShannonScope.TENANT_ISOLATION,
severity="critical",
title="Cross-tenant data access test",
title_ar="اختبار الوصول عبر المستأجرين",
description="Verify tenant A cannot access tenant B's leads/deals",
proof_of_concept="Login as tenant A, request tenant B's lead by ID",
affected_endpoint="/api/v1/leads/{id}",
impact="Complete data breach across tenants",
remediation="Enforce tenant_id filter on all queries",
remediation_ar="فرض فلتر tenant_id على كل الاستعلامات",
verified=False,
cwe_id="CWE-284",
)]
async def _check_pdpl(self, base_url: str, creds: dict = None) -> list[ShannonFinding]:
return [ShannonFinding(
id=f"PDPL-{len(self._findings)+1}",
scope=ShannonScope.PDPL,
severity="high",
title="PDPL consent bypass test",
title_ar="اختبار تجاوز موافقة PDPL",
description="Test if messages can be sent without recorded consent",
proof_of_concept=f"POST {base_url}/api/v1/inbox/reply without consent record",
affected_endpoint="/api/v1/inbox/reply",
impact="PDPL violation — up to SAR 5M fine",
remediation="Check consent before every outbound message",
remediation_ar="فحص الموافقة قبل كل رسالة صادرة",
verified=False,
cwe_id="CWE-862",
)]
async def _check_api_routes(self, base_url: str, creds: dict = None) -> list[ShannonFinding]:
return []
async def _check_file_upload(self, base_url: str, creds: dict = None) -> list[ShannonFinding]:
return []
async def _check_websocket(self, base_url: str, creds: dict = None) -> list[ShannonFinding]:
return []
async def should_block_release(self) -> bool:
critical = sum(1 for f in self._findings if f.severity == "critical" and not f.verified)
high = sum(1 for f in self._findings if f.severity == "high" and not f.verified)
return critical > 0 or high >= 3 return critical > 0 or high >= 3
def get_all_findings(self, severity: str = None) -> list[ShannonFinding]: def get_latest_report(self) -> Optional[ShannonReport]:
if severity: """Return the most recent scan report."""
return [f for f in self._findings if f.severity == severity] return self._reports[-1] if self._reports else None
return self._findings
def get_all_reports(self) -> list[ShannonReport]:
"""Return all stored reports."""
return list(self._reports)
shannon = ShannonSecurityLane() # ---------------------------------------------------------------------------
# Module-level singleton
# ---------------------------------------------------------------------------
shannon_security = ShannonSecurityLane()

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@ -0,0 +1,205 @@
"""
Skill Governance Dealix AI Revenue OS (Antigravity Pattern)
Governed skill admission, bundles, and lifecycle management.
Skills are admitted through rubric, not mass-installed.
"""
import logging
from datetime import datetime, timezone
from enum import Enum
from typing import Optional
from pydantic import BaseModel, Field
logger = logging.getLogger(__name__)
class AdmissionDecision(str, Enum):
ADMIT_NOW = "admit_now"
ADMIT_LATER = "admit_later"
DO_NOT_ADMIT = "do_not_admit"
REIMPLEMENT_LOCALLY = "reimplement_locally"
DESIGN_REFERENCE = "design_reference"
class SkillCandidate(BaseModel):
id: str
name: str
source: str # "antigravity", "community", "internal", "mkhlab"
category: str
description: str
relevance_score: float = 0.0 # 0-1
safety_risk: str = "low" # low, medium, high
maintenance_burden: str = "low"
overlap_with_existing: list[str] = []
measurable_roi: str = ""
license: str = "MIT"
decision: Optional[AdmissionDecision] = None
decision_reason: str = ""
evaluated_at: Optional[datetime] = None
class SkillBundle(BaseModel):
id: str
name: str
name_ar: str
description: str
skills: list[str] # skill IDs
target_profile: str # Hermes profile this bundle serves
priority: str = "medium"
# Admission rubric weights
RUBRIC = {
"relevance": 0.30, # Direct project relevance
"safety": 0.20, # Safety risk (inverted)
"maintenance": 0.15, # Maintenance burden (inverted)
"roi": 0.15, # Measurable ROI
"overlap": 0.10, # Low overlap with existing (inverted)
"deterministic": 0.10, # Deterministic utility
}
SAFETY_SCORES = {"low": 1.0, "medium": 0.5, "high": 0.1}
MAINTENANCE_SCORES = {"low": 1.0, "medium": 0.6, "high": 0.2}
# Pre-defined bundles for Dealix
DEFAULT_BUNDLES: list[dict] = [
{
"id": "bundle-repo-audit",
"name": "Repo Audit", "name_ar": "فحص المستودع",
"description": "Code quality, architecture review, dependency check",
"skills": ["repo-audit", "architecture-review", "dependency-check"],
"target_profile": "ops", "priority": "high",
},
{
"id": "bundle-release",
"name": "Release Hardening", "name_ar": "تقوية الإصدار",
"description": "Release prep, canary check, rollback planning",
"skills": ["release-prep", "canary-check", "rollback-plan", "security-preflight"],
"target_profile": "ops", "priority": "high",
},
{
"id": "bundle-growth",
"name": "Growth & SEO", "name_ar": "النمو والسيو",
"description": "Content generation, SEO audit, competitor analysis",
"skills": ["content-gen", "seo-audit", "competitor-scan"],
"target_profile": "growth", "priority": "medium",
},
{
"id": "bundle-sales",
"name": "Sales Research", "name_ar": "بحث المبيعات",
"description": "Lead research, proposal drafting, call prep",
"skills": ["lead-research", "proposal-draft", "call-prep", "objection-handler"],
"target_profile": "sales", "priority": "high",
},
{
"id": "bundle-arabic",
"name": "Arabic Market Ops", "name_ar": "عمليات السوق العربي",
"description": "Arabic summarization, dialect detection, RTL checks",
"skills": ["arabic-summarize", "dialect-detect", "rtl-check", "arabizi-convert"],
"target_profile": "arabic-ops", "priority": "high",
},
{
"id": "bundle-qa",
"name": "QA & Testing", "name_ar": "ضمان الجودة",
"description": "Test generation, browser QA, regression check",
"skills": ["generate-tests", "browser-qa", "regression-check"],
"target_profile": "delivery", "priority": "medium",
},
{
"id": "bundle-knowledge",
"name": "Documentation & Knowledge", "name_ar": "التوثيق والمعرفة",
"description": "Wiki maintenance, runbook generation, API docs",
"skills": ["wiki-update", "runbook-gen", "api-docs", "glossary-update"],
"target_profile": "knowledge", "priority": "medium",
},
]
class SkillGovernance:
"""Governed skill admission and lifecycle management."""
def __init__(self):
self._candidates: list[SkillCandidate] = []
self._admitted: list[str] = []
self._rejected: list[str] = []
self._bundles = [SkillBundle(**b) for b in DEFAULT_BUNDLES]
def evaluate_candidate(self, candidate: SkillCandidate) -> SkillCandidate:
safety_score = SAFETY_SCORES.get(candidate.safety_risk, 0.5)
maint_score = MAINTENANCE_SCORES.get(candidate.maintenance_burden, 0.5)
overlap_score = 1.0 - min(len(candidate.overlap_with_existing) * 0.3, 1.0)
roi_score = 0.8 if candidate.measurable_roi else 0.2
deterministic_score = 0.7 # Default moderate
total = (
candidate.relevance_score * RUBRIC["relevance"]
+ safety_score * RUBRIC["safety"]
+ maint_score * RUBRIC["maintenance"]
+ roi_score * RUBRIC["roi"]
+ overlap_score * RUBRIC["overlap"]
+ deterministic_score * RUBRIC["deterministic"]
)
if total >= 0.7:
candidate.decision = AdmissionDecision.ADMIT_NOW
candidate.decision_reason = f"Score {total:.2f} — high fit, safe, low overlap"
elif total >= 0.5:
candidate.decision = AdmissionDecision.ADMIT_LATER
candidate.decision_reason = f"Score {total:.2f} — moderate fit, review later"
elif candidate.overlap_with_existing:
candidate.decision = AdmissionDecision.REIMPLEMENT_LOCALLY
candidate.decision_reason = f"Score {total:.2f} — overlaps with existing: {candidate.overlap_with_existing}"
elif total >= 0.3:
candidate.decision = AdmissionDecision.DESIGN_REFERENCE
candidate.decision_reason = f"Score {total:.2f} — use as design pattern only"
else:
candidate.decision = AdmissionDecision.DO_NOT_ADMIT
candidate.decision_reason = f"Score {total:.2f} — low relevance or high risk"
candidate.evaluated_at = datetime.now(timezone.utc)
self._candidates.append(candidate)
if candidate.decision == AdmissionDecision.ADMIT_NOW:
self._admitted.append(candidate.id)
elif candidate.decision == AdmissionDecision.DO_NOT_ADMIT:
self._rejected.append(candidate.id)
logger.info(
f"Skill evaluated: {candidate.name}{candidate.decision.value} "
f"({candidate.decision_reason})"
)
return candidate
def get_bundle(self, bundle_id: str) -> Optional[SkillBundle]:
return next((b for b in self._bundles if b.id == bundle_id), None)
def get_bundles_for_profile(self, profile: str) -> list[SkillBundle]:
return [b for b in self._bundles if b.target_profile == profile]
def list_bundles(self) -> list[SkillBundle]:
return self._bundles
def get_admitted(self) -> list[str]:
return self._admitted
def get_rejected(self) -> list[str]:
return self._rejected
def get_candidates(self, decision: AdmissionDecision = None) -> list[SkillCandidate]:
if decision:
return [c for c in self._candidates if c.decision == decision]
return self._candidates
def get_admission_stats(self) -> dict:
total = len(self._candidates)
return {
"total_evaluated": total,
"admitted": len(self._admitted),
"rejected": len(self._rejected),
"pending": total - len(self._admitted) - len(self._rejected),
"bundles": len(self._bundles),
"admission_rate": round(len(self._admitted) / total * 100, 1) if total else 0,
}
skill_governance = SkillGovernance()