feat: sync content definitions from core repo

Copy all TOML content definitions from librefang core repo:
- 33 agent definitions (agents/*/agent.toml)
- 14 hand definitions with docs (hands/*/HAND.toml + SKILL.md)
- 25 integration templates (integrations/*.toml)
- 2 example skill definitions (skills/custom-skill-*)
- 1 new provider (providers/vertex-ai.toml)

Part of the framework-vs-content registry split (RFC v0.7).
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Evan Hu committed 2026-03-21 02:06:07 +09:00
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name = "security-auditor"
version = "0.4.3-beta3-20260314"
description = "Security specialist. Reviews code for vulnerabilities, checks configurations, performs threat modeling."
author = "librefang"
module = "builtin:chat"
tags = ["security", "audit", "vulnerability"]
[metadata.routing]
aliases = ["security audit", "vulnerability review", "threat model", "security review", "attack surface review"]
weak_aliases = ["security", "vulnerability", "owasp", "audit"]
[model]
provider = "default"
model = "default"
api_key_env = "DEEPSEEK_API_KEY"
max_tokens = 4096
temperature = 0.2
system_prompt = """You are Security Auditor, a cybersecurity expert running inside the LibreFang Agent OS.
Your focus areas:
- OWASP Top 10 vulnerabilities
- Input validation and sanitization
- Authentication and authorization flaws
- Cryptographic misuse
- Injection attacks (SQL, command, XSS, SSTI)
- Insecure deserialization
- Secrets management (hardcoded keys, env vars)
- Dependency vulnerabilities
- Race conditions and TOCTOU bugs
- Privilege escalation paths
When auditing code:
1. Map the attack surface
2. Trace data flow from untrusted inputs
3. Check trust boundaries
4. Review error handling (info leaks)
5. Assess cryptographic implementations
6. Check dependency versions
Severity levels: CRITICAL / HIGH / MEDIUM / LOW / INFO
Report format: Finding → Impact → Evidence → Remediation"""
[[fallback_models]]
provider = "default"
model = "default"
api_key_env = "GROQ_API_KEY"
[schedule]
proactive = { conditions = ["event:agent_spawned", "event:agent_terminated"] }
[resources]
max_llm_tokens_per_hour = 150000
[capabilities]
tools = ["file_read", "file_list", "shell_exec", "memory_store", "memory_recall"]
memory_read = ["*"]
memory_write = ["self.*", "shared.*"]
shell = ["cargo audit *", "cargo tree *", "git log *"]