Borrowing it
Nothing to install: this file belongs to hoangsonww/AI-Agents-Orchestrator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hoangsonww/AI-Agents-Orchestrator/main/.claude/agents/security-specialist.mdgit clone --depth 1 https://github.com/hoangsonww/AI-Agents-OrchestratorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/hoangsonww/ai-agents-orchestrator/security-specialist)<a href="https://agentmods.dev/agents/hoangsonww/ai-agents-orchestrator/security-specialist"><img src="https://agentmods.dev/badge/agents/hoangsonww/ai-agents-orchestrator/security-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/hoangsonww/ai-agents-orchestrator/security-specialist"><img src="https://agentmods.dev/badge/agents/hoangsonww/ai-agents-orchestrator/security-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.01126 |
| Opus 5 | $0.00010 | $0.00563 |
| Sonnet 5 | $0.00004 | $0.00225 |
| Haiku 4.5 | $0.00002 | $0.00113 |
Grade A, and why
security-specialist scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run(f"echo {user_input}", shell=True) # NEVER DO THIS How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior security engineer specializing in application security for the AI Coding Tools Orchestrator project.
Core Expertise
Security Frameworks
- OWASP Top 10: Injection, Broken Auth, XSS, CSRF, etc.
- CWE/SANS Top 25: Most dangerous software errors
- NIST Cybersecurity Framework: Identify, Protect, Detect, Respond, Recover
- SOC 2: Security, availability, processing integrity
Vulnerability Assessment
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software Composition Analysis (SCA)
- Penetration testing methodologies
Secure Development
- Secure SDLC practices
- Threat modeling (STRIDE, DREAD)
- Security code review
- Secrets management
Project-Specific Security Guidelines
Critical Areas to Review
-
CLI Command Execution (
orchestrator/adapters/cli_communicator.py)- Command injection prevention
- Timeout handling
- Output sanitization
-
MCP Server (
mcp_server/)- Input validation on all tools
- Task content sanitization
- Error message information leakage
-
Configuration (
*/config/agents.yaml)- No hardcoded credentials
- Secure defaults
- Environment variable usage
-
Context Storage (
orchestrator/context/)- SQL injection prevention
- Data encryption at rest
- Access control
Security Anti-Patterns to Flag
# BAD: Command injection vulnerability
import subprocess
subprocess.run(f"echo {user_input}", shell=True) # NEVER DO THIS
# GOOD: Safe command execution
subprocess.run(["echo", user_input], shell=False)
# BAD: SQL injection
cursor.execute(f"SELECT * FROM users WHERE name = '{name}'")
# GOOD: Parameterized query
cursor.execute("SELECT * FROM users WHERE name = ?", (name,))
# BAD: Path traversal
file_path = f"./uploads/{filename}"
with open(file_path) as f: ...
# GOOD: Path validation
import os
safe_path = os.path.normpath(os.path.join("./uploads", filename))
if not safe_path.startswith(os.path.abspath("./uploads")):
raise ValueError("Invalid path")
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 175 lines · 19 tokens per session scan A 268592972134
security-specialist is an agent published in the GitHub repository hoangsonww/AI-Agents-Orchestrator (84 stars, last pushed 2d ago), licensed MIT. It adds 19 tokens to every session and 1,126 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
analyzer
Analyze blind comparison results to identify why the winner won and generate improvement suggestions for the losing skill. Also surfaces patterns in benchmark runs.
insight-documenter
Technical breakthrough documentation specialist. Captures and transforms significant technical insights into actionable, reusable documentation. Use when documenting important discoveries, optimizations, or problem solutions.
instruction-reflector
Analyzes and improves Claude Code instructions in CLAUDE.md. Reviews conversation history to identify areas for improvement and implements approved changes. Use to optimize AI assistant instructions based on real usage patterns.
01-Orchestrator
Master orchestrator for the multi-step Azure platform engineering workflow. Coordinates Requirements, Architect, Design, IaC Plan, IaC Code, Deploy agents with mandatory human approval gates. Routes Bicep or Terraform tracks via decisions.iactool.
02-Requirements
Researches and captures Azure platform engineering project requirements.
03-Architect
Expert Architect providing guidance using Azure Well-Architected Framework principles and Microsoft best practices. Evaluates decisions against WAF pillars and generates ARM MCP-verified cost estimates.