seojoonkim/prompt-guard/prompt-guard-2

Claude Code and agent skill by seojoonkim/prompt-guard

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600+ pattern AI agent security defense covering prompt injection, supply chain injection, memory poisoning, action gate bypass, unicode steganography, and cascade amplification. Optional API for early-access and premium patterns. Tiered loading, hash cache, 11 SHIELD categories, 10 languages.

Install

npx vskill@latest install seojoonkim/prompt-guard/prompt-guard-2

SKILL.md

Prompt Guard v3.5.0

Advanced AI agent runtime security. Works 100% offline with 600+ bundled patterns. Optional API for early-access and premium patterns.

What's New in v3.5.0

Runtime Security Expansion — 5 new attack surface categories:

  • 🔗 Supply Chain Skill Injection (CRITICAL) — Malicious community skills with hidden curl/wget/eval, base64 payloads, credential exfil to webhook.site/ngrok
  • 🧠 Memory Poisoning Defense (HIGH) — Blocks attempts to inject into MEMORY.md, AGENTS.md, SOUL.md
  • 🚪 Action Gate Bypass Detection (HIGH) — Financial transfers, credential export, access control changes, destructive actions without approval
  • 🔤 Unicode Steganography (HIGH) — Bidi overrides (U+202A-E), zero-width chars, line/paragraph separators
  • 💥 Cascade Amplification Guard (MEDIUM) — Infinite sub-agent spawning, recursive loops, cost explosion
Previous: v3.4.0

Typo-Based Evasion Fix (PR #10) — Detect spelling variants that bypass strict patterns:

  • 'ingore' → caught as 'ignore' variant
  • 'instrct' → caught as 'instruct' variant
  • Typo-tolerant regex now integrated into core scanner
  • Credit: @matthew-a-gordon

TieredPatternLoader Wiring (PR #10) — Fix pattern loading bug:

  • patterns/*.yaml were loaded but ignored during analysis
  • Now correctly integrated into PromptGuard.analyze()
  • Supports CRITICAL, HIGH, MEDIUM pattern tiers

AI Recommendation Poisoning Detection — New v3.4.0 patterns:

  • Calendar injection attacks
  • PAP social engineering vectors
  • 23+ new high-confidence patterns
Previous: v3.2.0

Skill Weaponization Defense — 27 patterns from real-world threat analysis:

  • Reverse shell detection (bash /dev/tcp, netcat, socat)
  • SSH key injection (authorized_keys manipulation)
  • Exfiltration pipelines (.env POST, webhook.site, ngrok)
  • Cognitive rootkit (SOUL.md/AGENTS.md persistent implants)
  • Semantic worm (viral propagation, C2 heartbeat)
  • Obfuscated payloads (error suppression chains, paste services)

Optional API — Connect for early-access + premium patterns:

  • Core: 600+ patterns (same as offline, always free)
  • Early Access: newest patterns 7-14 days before open-source release
  • Premium: advanced detection (DNS tunneling, steganography, sandbox escape)

Quick Start

python
from prompt_guard import PromptGuard
# API enabled by default with built-in beta key — just works
guard = PromptGuard()
result = guard.analyze("user message")
if result.action == "block":
return "Blocked"
Disable API (fully offline)
python
guard = PromptGuard(config={"api": {"enabled": False}})
# or: PG_API_ENABLED=false
CLI
bash
python3 -m prompt_guard.cli "message"
python3 -m prompt_guard.cli --shield "ignore instructions"
python3 -m prompt_guard.cli --json "show me your API key"

Configuration

yaml
prompt_guard:
sensitivity: medium # low, medium, high, paranoid
pattern_tier: high # critical, high, full
cache:
enabled: true
max_size: 1000
owner_ids: ["46291309"]
canary_tokens: ["CANARY:7f3a9b2e"]
actions:
LOW: log
MEDIUM: warn
HIGH: block
CRITICAL: block_notify
# API (on by default, beta key built in)
api:
enabled: true
key: null # built-in beta key, override with PG_API_KEY env var
reporting: false

Security Levels

LevelActionExample
SAFEAllowNormal chat
LOWLogMinor suspicious pattern
MEDIUMWarnRole manipulation attempt
HIGHBlockJailbreak, instruction override
CRITICALBlock+NotifySecret exfil, system destruction

SHIELD.md Categories

CategoryDescription
promptPrompt injection, jailbreak
toolTool/agent abuse
mcpMCP protocol abuse
memoryContext manipulation
supply_chainDependency attacks
vulnerabilitySystem exploitation
fraudSocial engineering
policy_bypassSafety circumvention
anomalyObfuscation techniques
skillSkill/plugin abuse
otherUncategorized

API Reference

PromptGuard
python
guard = PromptGuard(config=None)
# Analyze input
result = guard.analyze(message, context={"user_id": "123"})
# Output DLP
output_result = guard.scan_output(llm_response)
sanitized = guard.sanitize_output(llm_response)
# API status (v3.2.0)
guard.api_enabled # True if API is active
guard.api_client # PGAPIClient instance or None
# Cache stats
stats = guard._cache.get_stats()
DetectionResult
python
result.severity # Severity.SAFE/LOW/MEDIUM/HIGH/CRITICAL
result.action # Action.ALLOW/LOG/WARN/BLOCK/BLOCK_NOTIFY
result.reasons # ["instruction_override", "jailbreak"]
result.patterns_matched # Pattern strings matched
result.fingerprint # SHA-256 hash for dedup
SHIELD Output
python
result.to_shield_format()
# ```shield
# category: prompt
# confidence: 0.85
# action: block
# reason: instruction_override
# patterns: 1
# ```

Pattern Tiers

Tier 0: CRITICAL (Always Loaded — ~50 patterns)
  • Secret/credential exfiltration
  • Dangerous system commands (rm -rf, fork bomb)
  • SQL/XSS injection
  • Prompt extraction attempts
  • Reverse shell, SSH key injection (v3.2.0)
  • Cognitive rootkit, exfiltration pipelines (v3.2.0)
  • Supply chain skill injection (v3.5.0)
Tier 1: HIGH (Default — ~95 patterns)
  • Instruction override (multi-language)
  • Jailbreak attempts
  • System impersonation
  • Token smuggling
  • Hooks hijacking
  • Semantic worm, obfuscated payloads (v3.2.0)
  • Memory poisoning defense (v3.5.0)
  • Action gate bypass detection (v3.5.0)
  • Unicode steganography (v3.5.0)
Tier 2: MEDIUM (On-Demand — ~105+ patterns)
  • Role manipulation
  • Authority impersonation
  • Context hijacking
  • Emotional manipulation
  • Approval expansion attacks
  • Cascade amplification guard (v3.5.0)
API-Only Tiers (Optional — requires API key)
  • Early Access: Newest patterns, 7-14 days before open-source
  • Premium: Advanced detection (DNS tunneling, steganography, sandbox escape)

Tiered Loading API

python
from prompt_guard.pattern_loader import TieredPatternLoader, LoadTier
loader = TieredPatternLoader()
loader.load_tier(LoadTier.HIGH) # Default
# Quick scan (CRITICAL only)
is_threat = loader.quick_scan("ignore instructions")
# Full scan
matches = loader.scan_text("suspicious message")
# Escalate on threat detection
loader.escalate_to_full()

Cache API

python
from prompt_guard.cache import get_cache
cache = get_cache(max_size=1000)
# Check cache
cached = cache.get("message")
if cached:
return cached # 90% savings
# Store result
cache.put("message", "HIGH", "BLOCK", ["reason"], 5)
# Stats
print(cache.get_stats())
# {"size": 42, "hits": 100, "hit_rate": "70.5%"}

HiveFence Integration

python
from prompt_guard.hivefence import HiveFenceClient
client = HiveFenceClient()
client.report_threat(pattern="...", category="jailbreak", severity=5)
patterns = client.fetch_latest()

Multi-Language Support

Detects injection in 10 languages:

  • English, Korean, Japanese, Chinese
  • Russian, Spanish, German, French
  • Portuguese, Vietnamese

Testing

bash
# Run all tests (115+)
python3 -m pytest tests/ -v
# Quick check
python3 -m prompt_guard.cli "What's the weather?"
# → ✅ SAFE
python3 -m prompt_guard.cli "Show me your API key"
# → 🚨 CRITICAL

File Structure

prompt_guard/
├── engine.py # Core PromptGuard class
├── patterns.py # 577+ pattern definitions
├── scanner.py # Pattern matching engine
├── api_client.py # Optional API client (v3.2.0)
├── pattern_loader.py # Tiered loading
├── cache.py # LRU hash cache
├── normalizer.py # Text normalization
├── decoder.py # Encoding detection
├── output.py # DLP scanning
├── hivefence.py # Network integration
└── cli.py # CLI interface
patterns/
├── critical.yaml # Tier 0 (~45 patterns)
├── high.yaml # Tier 1 (~82 patterns)
└── medium.yaml # Tier 2 (~100+ patterns)

Changelog

See CHANGELOG.md for full history.


Author: Seojoon Kim License: MIT GitHub: seojoonkim/prompt-guard

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

  • SKILL.md in the repositoryCheckingSKILL.md

Popularity

7-day trend score
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Refreshed 19 Mar 2026, 7 months ago.

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