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fix/agent-
...
fix/681
| Author | SHA1 | Date | |
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0822837ec3 |
@@ -1,135 +0,0 @@
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"""
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Agent Card — A2A-compliant agent discovery.
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Part of #843: fix: implement A2A agent card for fleet discovery (#819)
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Provides metadata about the agent's identity, capabilities, and installed skills
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for discovery by other agents in the fleet.
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"""
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import json
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import logging
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import os
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from dataclasses import asdict, dataclass, field
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from hermes_cli import __version__
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from hermes_cli.config import load_config, get_hermes_home
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from agent.skill_utils import (
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iter_skill_index_files,
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parse_frontmatter,
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get_all_skills_dirs,
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get_disabled_skill_names,
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skill_matches_platform
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)
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logger = logging.getLogger(__name__)
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@dataclass
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class AgentSkill:
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id: str
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name: str
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description: str = ""
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version: str = "1.0.0"
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@dataclass
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class AgentCapabilities:
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streaming: bool = True
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tools: bool = True
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vision: bool = False
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reasoning: bool = False
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@dataclass
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class AgentCard:
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name: str
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description: str
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url: str
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version: str = __version__
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capabilities: AgentCapabilities = field(default_factory=AgentCapabilities)
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skills: List[AgentSkill] = field(default_factory=list)
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defaultInputModes: List[str] = field(default_factory=lambda: ["text/plain"])
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defaultOutputModes: List[str] = field(default_factory=lambda: ["text/plain"])
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def _load_skills() -> List[AgentSkill]:
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"""Scan all enabled skills and return metadata."""
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skills = []
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disabled = get_disabled_skill_names()
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for skills_dir in get_all_skills_dirs():
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if not skills_dir.is_dir():
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continue
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for skill_file in iter_skill_index_files(skills_dir, "SKILL.md"):
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try:
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raw = skill_file.read_text(encoding="utf-8")
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frontmatter, _ = parse_frontmatter(raw)
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except Exception:
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continue
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skill_name = frontmatter.get("name") or skill_file.parent.name
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if str(skill_name) in disabled:
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continue
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if not skill_matches_platform(frontmatter):
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continue
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skills.append(AgentSkill(
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id=str(skill_name),
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name=str(frontmatter.get("name", skill_name)),
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description=str(frontmatter.get("description", "")),
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version=str(frontmatter.get("version", "1.0.0"))
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))
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return skills
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def build_agent_card() -> AgentCard:
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"""Build the agent card from current configuration and environment."""
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config = load_config()
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# Identity
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name = os.environ.get("HERMES_AGENT_NAME") or config.get("agent", {}).get("name") or "hermes"
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description = os.environ.get("HERMES_AGENT_DESCRIPTION") or config.get("agent", {}).get("description") or "Sovereign AI agent"
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# URL - try to determine from environment or config
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port = os.environ.get("HERMES_WEB_PORT") or "9119"
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host = os.environ.get("HERMES_WEB_HOST") or "localhost"
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url = f"http://{host}:{port}"
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# Capabilities
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# In a real scenario, we'd check model metadata for vision/reasoning
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capabilities = AgentCapabilities(
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streaming=True,
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tools=True,
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vision=False, # Default to false unless we can confirm
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reasoning=False
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)
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# Skills
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skills = _load_skills()
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return AgentCard(
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name=name,
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description=description,
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url=url,
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version=__version__,
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capabilities=capabilities,
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skills=skills
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)
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def get_agent_card_json() -> str:
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"""Return the agent card as a JSON string."""
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try:
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card = build_agent_card()
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return json.dumps(asdict(card), indent=2)
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except Exception as e:
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logger.error(f"Failed to build agent card: {e}")
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# Minimal fallback card
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fallback = {
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"name": "hermes",
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"description": "Sovereign AI agent (fallback)",
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"version": __version__,
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"error": str(e)
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}
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return json.dumps(fallback, indent=2)
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def validate_agent_card(card_data: Dict[str, Any]) -> bool:
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"""Check if the card data complies with the A2A schema."""
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required = ["name", "description", "url", "version"]
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return all(k in card_data for k in required)
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@@ -45,7 +45,6 @@ from hermes_cli.config import (
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redact_key,
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)
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from gateway.status import get_running_pid, read_runtime_status
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from agent.agent_card import get_agent_card_json
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try:
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from fastapi import FastAPI, HTTPException, Request
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@@ -97,9 +96,6 @@ _PUBLIC_API_PATHS: frozenset = frozenset({
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"/api/config/defaults",
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"/api/config/schema",
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"/api/model/info",
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"/api/agent-card",
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"/agent-card.json",
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"/.well-known/agent-card.json",
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})
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@@ -364,14 +360,6 @@ def _probe_gateway_health() -> tuple[bool, dict | None]:
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return False, None
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@app.get("/api/agent-card")
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@app.get("/agent-card.json")
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@app.get("/.well-known/agent-card.json")
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async def get_agent_card():
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"""Return the A2A agent card for fleet discovery."""
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return JSONResponse(content=json.loads(get_agent_card_json()))
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@app.get("/api/status")
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async def get_status():
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current_ver, latest_ver = check_config_version()
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313
tools/risk_scorer.py
Normal file
313
tools/risk_scorer.py
Normal file
@@ -0,0 +1,313 @@
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"""Context-Aware Risk Scoring — ML-lite tier detection enhancement.
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Enhances the existing approval.py dangerous-command detection with
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context-aware risk scoring. Instead of pure pattern matching, considers:
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1. Path context: rm /tmp/x is safer than rm /etc/passwd
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2. Command context: chmod 777 on project dir vs system dir
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3. Recency: repeated dangerous commands increase risk
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4. Scope: commands affecting more files = higher risk
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Usage:
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from tools.risk_scorer import score_action, RiskResult
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result = score_action("rm -rf /tmp/build")
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# result.tier = MEDIUM (not HIGH, because /tmp is safe)
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# result.confidence = 0.7
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"""
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import os
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import re
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import time
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from dataclasses import dataclass, field
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from enum import IntEnum
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from typing import Any, Dict, List, Optional, Tuple
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# Risk tiers (aligned with approval_tiers.py)
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class RiskTier(IntEnum):
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SAFE = 0
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LOW = 1
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MEDIUM = 2
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HIGH = 3
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CRITICAL = 4
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@dataclass
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class RiskResult:
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"""Result of risk scoring."""
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tier: RiskTier
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confidence: float # 0.0 to 1.0
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reasons: List[str] = field(default_factory=list)
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context_factors: Dict[str, Any] = field(default_factory=dict)
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# --- Path risk assessment ---
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SAFE_PATHS = {
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"/tmp", "/var/tmp", "/dev/shm",
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"~/.hermes/sessions", "~/.hermes/cache", "~/.hermes/logs",
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"/tmp/", "/var/tmp/",
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}
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HIGH_RISK_PATHS = {
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"/etc", "/boot", "/usr/lib", "/usr/bin",
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"~/.ssh", "~/.gnupg",
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"/var/lib", "/opt",
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}
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CRITICAL_PATHS = {
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"/", "/etc/passwd", "/etc/shadow", "/etc/sudoers",
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"~/.ssh/id_rsa", "~/.ssh/authorized_keys",
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"/boot/vmlinuz", "/dev/sda", "/dev/nvme",
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}
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def _extract_paths(command: str) -> List[str]:
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"""Extract file paths from a command."""
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paths = []
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# Match common path patterns
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for match in re.finditer(r'[/~][\w/.~-]+', command):
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paths.append(match.group())
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# Also match $HOME, $HERMES_HOME expansions
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for match in re.finditer(r'\$(?:HOME|HERMES_HOME|PWD)[/\w]*', command):
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paths.append(match.group())
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return paths
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def _classify_path(path: str) -> str:
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"""Classify a path as safe, high-risk, or critical."""
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path_lower = path.lower().replace("\\", "/")
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for critical in CRITICAL_PATHS:
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if path_lower.startswith(critical.lower()):
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return "critical"
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for high in HIGH_RISK_PATHS:
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if path_lower.startswith(high.lower()):
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return "high"
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for safe in SAFE_PATHS:
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if path_lower.startswith(safe.lower()):
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return "safe"
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# Unknown paths default to medium
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return "unknown"
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# --- Command risk modifiers ---
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RISK_MODIFIERS = {
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# Flags that increase risk
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"-rf": 1.5,
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"-r": 1.2,
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"--force": 1.5,
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"--recursive": 1.2,
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"--no-preserve-root": 3.0,
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"-f": 1.3,
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"--hard": 1.5,
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"--force-push": 2.0,
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"-D": 1.4,
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# Flags that decrease risk
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"--dry-run": 0.1,
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"-n": 0.3,
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"--no-act": 0.1,
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"--interactive": 0.7,
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"-i": 0.7,
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}
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def _get_command_risk_modifier(command: str) -> float:
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"""Get risk modifier based on command flags."""
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modifier = 1.0
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for flag, mod in RISK_MODIFIERS.items():
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if flag in command:
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modifier *= mod
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return modifier
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# --- Scope assessment ---
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def _assess_scope(command: str) -> float:
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"""Assess the scope of a command (how many files/systems affected)."""
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scope = 1.0
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# Wildcards increase scope
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if "*" in command or "?" in command:
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scope *= 2.0
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# Recursive operations increase scope
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if re.search(r'-r[f]?\b', command):
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scope *= 1.5
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# find/xargs pipelines increase scope
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if "find" in command and ("exec" in command or "xargs" in command):
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scope *= 2.0
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# Multiple targets increase scope
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paths = _extract_paths(command)
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if len(paths) > 2:
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scope *= 1.3
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return min(scope, 5.0) # Cap at 5x
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# --- Recent command tracking ---
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_recent_commands: List[Tuple[float, str]] = []
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_TRACK_WINDOW = 300 # 5 minutes
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def _track_command(command: str) -> float:
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"""Track command and return escalation factor based on recency."""
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now = time.time()
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# Clean old entries
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global _recent_commands
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_recent_commands = [
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(ts, cmd) for ts, cmd in _recent_commands
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if now - ts < _TRACK_WINDOW
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]
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# Check for repeated dangerous patterns
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escalation = 1.0
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for ts, recent_cmd in _recent_commands:
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# Same command repeated = escalating risk
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if recent_cmd == command:
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escalation += 0.2
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# Similar commands = moderate escalation
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elif _commands_similar(command, recent_cmd):
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escalation += 0.1
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_recent_commands.append((now, command))
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return min(escalation, 3.0) # Cap at 3x
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def _commands_similar(cmd1: str, cmd2: str) -> bool:
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"""Check if two commands are structurally similar."""
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# Extract command name
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name1 = cmd1.split()[0] if cmd1.split() else ""
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name2 = cmd2.split()[0] if cmd2.split() else ""
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return name1 == name2
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# --- Main scoring function ---
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# Base tier mapping from command name
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COMMAND_BASE_TIERS = {
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"rm": RiskTier.HIGH,
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"chmod": RiskTier.MEDIUM,
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"chown": RiskTier.HIGH,
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"mkfs": RiskTier.CRITICAL,
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"dd": RiskTier.HIGH,
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"kill": RiskTier.HIGH,
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"pkill": RiskTier.HIGH,
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"systemctl": RiskTier.HIGH,
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"git": RiskTier.LOW,
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"sed": RiskTier.LOW,
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"cp": RiskTier.LOW,
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"mv": RiskTier.LOW,
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"python3": RiskTier.LOW,
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"pip": RiskTier.LOW,
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"npm": RiskTier.LOW,
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"docker": RiskTier.MEDIUM,
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"ansible": RiskTier.HIGH,
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}
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def score_action(action: str, context: Optional[Dict[str, Any]] = None) -> RiskResult:
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"""Score an action's risk level with context awareness.
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Considers:
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- Command base risk
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- Path context (safe vs critical paths)
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- Command flags (force, recursive, dry-run)
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- Scope (wildcards, multiple targets)
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- Recency (repeated commands escalate)
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Returns:
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RiskResult with tier, confidence, and reasons.
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"""
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if not action or not isinstance(action, str):
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return RiskResult(tier=RiskTier.SAFE, confidence=1.0, reasons=["empty input"])
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parts = action.strip().split()
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if not parts:
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return RiskResult(tier=RiskTier.SAFE, confidence=1.0, reasons=["empty command"])
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cmd_name = parts[0].split("/")[-1] # Extract command name
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# Base tier from command name
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base_tier = COMMAND_BASE_TIERS.get(cmd_name, RiskTier.SAFE)
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# Path risk assessment
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paths = _extract_paths(action)
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max_path_risk = "safe"
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for path in paths:
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path_risk = _classify_path(path)
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risk_order = {"safe": 0, "unknown": 1, "high": 2, "critical": 3}
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if risk_order.get(path_risk, 0) > risk_order.get(max_path_risk, 0):
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max_path_risk = path_risk
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# Calculate final tier
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reasons = []
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# Path-based tier adjustment
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if max_path_risk == "critical":
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base_tier = RiskTier.CRITICAL
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reasons.append(f"Critical path detected: {paths[0] if paths else 'unknown'}")
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elif max_path_risk == "high":
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if base_tier.value < RiskTier.HIGH.value:
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base_tier = RiskTier.HIGH
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reasons.append(f"High-risk path: {paths[0] if paths else 'unknown'}")
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elif max_path_risk == "safe":
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# Downgrade if all paths are safe
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if base_tier.value > RiskTier.MEDIUM.value:
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base_tier = RiskTier.MEDIUM
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reasons.append("Safe path context — risk downgraded")
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# Apply modifiers
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modifier = _get_command_risk_modifier(action)
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scope = _assess_scope(action)
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recency = _track_command(action)
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# Check for dry-run (overrides everything)
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if "--dry-run" in action or "-n " in action:
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return RiskResult(
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tier=RiskTier.SAFE,
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confidence=0.95,
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reasons=["dry-run mode — no actual changes"],
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context_factors={"dry_run": True},
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)
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# Calculate confidence
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confidence = 0.8 # Base confidence
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||||
|
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if max_path_risk == "safe":
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confidence = 0.9
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||||
elif max_path_risk == "unknown":
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confidence = 0.6
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elif max_path_risk == "critical":
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confidence = 0.95
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|
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# Reasons
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if modifier > 1.5:
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reasons.append(f"Force/recursive flags (modifier: {modifier:.1f}x)")
|
||||
if scope > 1.5:
|
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reasons.append(f"Wide scope (wildcards/multiple targets, {scope:.1f}x)")
|
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if recency > 1.2:
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reasons.append(f"Repeated command pattern ({recency:.1f}x escalation)")
|
||||
|
||||
if not reasons:
|
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reasons.append(f"Command '{cmd_name}' classified as {base_tier.name}")
|
||||
|
||||
return RiskResult(
|
||||
tier=base_tier,
|
||||
confidence=round(confidence, 2),
|
||||
reasons=reasons,
|
||||
context_factors={
|
||||
"path_risk": max_path_risk,
|
||||
"modifier": round(modifier, 2),
|
||||
"scope": round(scope, 2),
|
||||
"recency": round(recency, 2),
|
||||
"paths": paths,
|
||||
},
|
||||
)
|
||||
Reference in New Issue
Block a user