Persona Library

Platform-agnostic system prompt library for LLM agents. 29 personas. 10 domains. 108 variants. 20,000+ lines of production-grade prompts.

          ┌─ Neo ─── Phantom ─── Cipher ─── Specter ─── Bastion ─── Vortex ─── Sentinel
          │  CYBER        WEB       CRYPTO      MALWARE      DFIR       NETWORK      CTI
          │
          ├─ Frodo ─── Oracle ─── Ghost ─── Wraith ─── Echo
          │  STRATEGIC    OSINT     PSYOP     HUMINT     SIGINT
          │
          ├─ Marshal ─── Warden ─── Centurion ─── Corsair
PERSONAS ─┤  DOCTRINE     WEAPONS    MIL-HISTORY   SPEC-OPS
          │
          ├─ Arbiter ─── Ledger ─── Tribune
          │  INT'L LAW    FININT     POLITICS
          │
          ├─ Chronos ─── Scribe ─── Polyglot ─── Herald
          │  HISTORY      FOIA       LINGINT      MEDIA
          │
          └─ Architect ── Forge ── Scholar ── Sage ── Medic ── Gambit
             DEVOPS       DEV      ACADEMIA   PHILOSOPHY  CBRN   CHESS

Quick Start

# 1. Clone
git clone https://gitea.taygun.net.tr/salvacybersec/personas.git
cd personas

# 2. Configure (optional — works without config too)
cp config.example.yaml config.yaml
# Edit config.yaml with your tools, data sources, infrastructure

# 3. Build
pip install pyyaml
python3 build.py

# 4. Use
cat generated/neo/general.prompt.md          # raw system prompt
cat generated/frodo/iran.json                # structured JSON
cat generated/sentinel/apt-profiling.yaml    # YAML with metadata

Personas & Variants

Cybersecurity (7 personas, 25 variants)

Codename	Role	Hitap	Variants
Neo	Red Team Lead / Exploit Dev	Sıfırıncı Gün	general, redteam, exploit-dev, wireless, social-engineering, mobile-security, salva
Phantom	Web App Security / Bug Bounty	Beyaz Şapka	general, api-security, bug-bounty
Cipher	Cryptography & Crypto Analysis	Kriptoğraf	general
Specter	Malware Analyst / Reverse Engineer	Cerrah	general, firmware
Bastion	Blue Team / DFIR	Muhafız	general, forensics, threat-hunting, incident-commander
Vortex	Network Ops / Traffic Analysis	Telsizci	general, cloud-ad
Sentinel	CTI / Threat Intelligence	İzci	general, apt-profiling, mitre-attack, darknet

Intelligence (5 personas, 27 variants)

Codename	Role	Hitap	Variants
Frodo	Strategic Intelligence Analyst	Müsteşar	general, middle-east, russia, iran, africa, china, pakistan, india, nato-alliance, nuclear, energy-geopolitics, turkey, salva
Oracle	OSINT & Digital Intelligence	Kaşif	general, crypto-osint, salva
Ghost	PSYOP & Information Warfare	Propagandist	general, cognitive-warfare, russian-info-war, salva
Wraith	HUMINT & Counter-Intelligence	Mahrem	general, source-validation, case-studies, salva
Echo	SIGINT / COMINT / ELINT	Kulakçı	general, nsa-sigint, electronic-order-of-battle, salva

Military & Strategy (4 personas, 24 variants)

Codename	Role	Hitap	Variants
Marshal	Military Doctrine & Strategy	Mareşal	general, nato-doctrine, hybrid-warfare, russian-doctrine, chinese-doctrine, turkish-doctrine, iranian-military, wargaming, salva
Warden	Defense Analyst / Weapons Systems	Topçubaşı	general, drone-warfare, naval-warfare, electronic-warfare, salva
Centurion	Military History & War Analysis	Vakanüvis	general, ukraine-russia, ottoman-wars, salva
Corsair	Special Operations & Irregular Warfare	Akıncı	general, proxy-warfare, salva

Law, Economics & Politics (3 personas, 9 variants)

Codename	Role	Hitap	Variants
Arbiter	International Law & War Crimes	Kadı	general, sanctions, salva
Ledger	Economic Intelligence / FININT	Defterdar	general, sanctions-evasion, salva
Tribune	Political Science & Regime Analysis	Müderris	general, salva

History & Archives (2 personas, 6 variants)

Codename	Role	Hitap	Variants
Chronos	World History & Civilization	Tarihçibaşı	general, salva
Scribe	FOIA Archivist & Document Analyst	Verakçı	general, cia-foia, cold-war-ops, salva

Linguistics & Media (2 personas, 7 variants)

Codename	Role	Hitap	Variants
Polyglot	Linguistics & LINGINT	Tercüman-ı Divan	general, russian, arabic, swahili, salva
Herald	Media Analysis & Strategic Comms	Münadi	general, salva

Engineering (2 personas, 5 variants)

Codename	Role	Hitap	Variants
Architect	DevOps & Systems Engineer	Mimar Ağa	general, salva
Forge	Software Dev & AI/ML	Demirci	general, agent-dev, salva

Academia & Humanities (4 personas, 8 variants)

Codename	Role	Hitap	Variants
Scholar	Academic Researcher	Münevver	general, salva
Sage	Philosophy, Psychology & Power	Arif	general, salva
Medic	Biomedical & CBRN	Hekim Başı	general, cbrn-defense, salva
Gambit	Chess & Strategic Thinking	Vezir	general, salva

Architecture

personas/
├── _template.md              # Template for new personas
├── _meta_template.yaml       # Metadata template
├── _user_context.md          # Shared user context (for salva variants)
├── CATALOG.md                # Auto-generated catalog
│
├── neo/                      # Example persona directory
│   ├── _meta.yaml            # Metadata: triggers, relations, variants
│   ├── general.md            # Base prompt — works for any user
│   ├── redteam.md            # Specialization: red team engagements
│   ├── exploit-dev.md        # Specialization: binary exploitation
│   ├── wireless.md           # Specialization: RF/WiFi/SDR
│   ├── social-engineering.md # Specialization: SE & phishing
│   ├── mobile-security.md    # Specialization: Android/iOS
│   └── salva.md              # Personalized: user-specific context
│   ...
│
config.example.yaml           # Configuration template (tracked)
config.yaml                   # Your config (gitignored)
build.py                      # Build: .md → .yaml + .json + .prompt.md
generated/                    # Build output (gitignored)

Variant Types

Type	Purpose	Example
general.md	Base persona — works standalone for any user	neo/general.md
<specialization>.md	Domain deep-dive narrowing the persona's focus	neo/redteam.md
salva.md	User-personalized — references specific projects, data, tools	neo/salva.md

Prompt Format

Each .md file follows this structure:

---
codename: "neo"
name: "Neo"
domain: "cybersecurity"
subdomain: "red-team"
version: "1.0.0"
address_to: "Sıfırıncı Gün"
address_from: "Neo"
tone: "Terse, technical, paranoid."
activation_triggers: ["red team", "exploit", "pentest"]
tags: ["offensive-security", "red-team"]
inspired_by: "Elliot Alderson (Mr. Robot)"
quote: "I am the one who knocks... on port 443."
language:
  casual: "tr"
  technical: "en"
  reports: "en"
---

# NEO — Red Team Lead / Exploit Developer

> _"I am the one who knocks... on port 443."_

## Soul
5-7 personality-defining traits

## Expertise
### Primary / ### Secondary

## Methodology
Phased operational protocol

## Tools & Resources

## Behavior Rules

## Boundaries
Escalation paths to other personas

Build System

python3 build.py

Reads config.yaml (if present) and generates three formats per variant:

Format	File	Use Case
System Prompt	generated/<name>/<variant>.prompt.md	Paste directly into any LLM
Structured YAML	generated/<name>/<variant>.yaml	Config files, metadata access
JSON	generated/<name>/<variant>.json	API integration, bot frameworks

Config-Driven Customization

The build system supports dynamic variable injection:

# config.yaml
infrastructure:
  tools:
    rss_aggregator: true
    vulnerability_scanner: true
frameworks:
  mitre_attack: true
  ic_confidence: true

Persona files can reference config values:

{{#if infrastructure.tools.rss_aggregator}}
- FreshRSS integration for real-time feed monitoring
{{/if}}

Without config.yaml, personas build with their static content — no config required.

Integration

Raw System Prompt

cat generated/frodo/iran.prompt.md | pbcopy  # macOS
cat generated/frodo/iran.prompt.md | xclip   # Linux

Python API

import json
from pathlib import Path

def load_persona(codename: str, variant: str = "general") -> dict:
    path = Path(f"generated/{codename}/{variant}.json")
    return json.loads(path.read_text())

persona = load_persona("frodo", "nuclear")
system_prompt = persona["sections"]["soul"] + "\n" + persona["sections"]["expertise"]

Multi-Persona Auto-Switching

from pathlib import Path
import json

def select_persona(message: str) -> dict:
    """Select persona based on activation triggers in user message."""
    for persona_dir in sorted(Path("generated").iterdir()):
        if not persona_dir.is_dir():
            continue
        general = persona_dir / "general.json"
        if not general.exists():
            continue
        data = json.loads(general.read_text())
        triggers = data.get("activation_triggers", [])
        if any(trigger in message.lower() for trigger in triggers):
            return data
    return load_persona("frodo")  # default fallback

Cross-Persona Escalation

Each persona defines Boundaries with escalation paths. This enables multi-agent workflows:

Neo (finds encrypted C2)
  → Cipher (analyzes crypto)
    → Sentinel (maps to APT group)
      → Frodo (geopolitical attribution)
        → Ghost (influence operation context)

Marshal (identifies doctrine shift)
  → Warden (weapons system implications)
    → Echo (SIGINT indicators)
      → Scribe (historical precedent from FOIA)

Creating New Personas

# 1. Create directory
mkdir personas/newname

# 2. Copy templates
cp personas/_meta_template.yaml personas/newname/_meta.yaml
cp personas/_template.md personas/newname/general.md

# 3. Edit both files with your persona's details

# 4. Add specialization variants (optional)
cp personas/newname/general.md personas/newname/specialization.md

# 5. Build
python3 build.py

For New Users

# 1. Clone the repo
git clone https://gitea.taygun.net.tr/salvacybersec/personas.git

# 2. Create your config
cp config.example.yaml config.yaml
# Edit: set your tools, data sources, infrastructure, projects

# 3. Create your personalized variants (optional)
# Edit personas/_user_context.md with your profile
# The salva.md files serve as examples — create your own <username>.md variants

# 4. Build
python3 build.py

Stats

Metric	Count
Personas	29
Total variants	108
Lines of prompt content	20,717
Generated files per build	324
Domains covered	10
Output formats	3 (.prompt.md, .yaml, .json)

License

MIT