security-reviewer

security-reviewer is an agent for Claude Code from TechNickAI/ai-coding-config. It costs 25 tokens per session (752 once invoked), scanned A, original, MIT.

A security-focused code reviewer that looks for weaknesses attackers could use, including injection, authentication, authorization, and data-exposure problems. The OWASP Top 10 is a commonly used list of major web-application security risks.

In plain words
What is it for?
Use it to inspect code changes for injection attacks, authentication and authorization mistakes, cryptography problems, unsafe dependencies, insecure configuration, and other OWASP risks.
Why use it?
It helps identify security flaws before they lead to stolen data, unauthorized access, or system compromise.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the ai-coding-config plugin — 15 skills, 21 commands, 28 agents, 3 hooks shipped together

Good fit Use it to inspect code changes for injection attacks, authentication and authorization mistakes, cryptography problems, unsafe dependencies, insecure configuration, and other OWASP risks.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/technickai/ai-coding-config/security-reviewer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/TechNickAI/ai-coding-config

Made for: Claude Code.

Or install ai-coding-config, the plugin that ships this one along with the rest of its 15 skills, 21 commands, 28 agents, 3 hooks.

Wrote 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.

agentmods badge for security-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/technickai/ai-coding-config/security-reviewer/github.svg)](https://agentmods.dev/agents/technickai/ai-coding-config/security-reviewer)
Your own site
<a href="https://agentmods.dev/agents/technickai/ai-coding-config/security-reviewer"><img src="https://agentmods.dev/badge/agents/technickai/ai-coding-config/security-reviewer/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.

agentmods 80×15 button for security-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/technickai/ai-coding-config/security-reviewer"><img src="https://agentmods.dev/badge/agents/technickai/ai-coding-config/security-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 752 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.00752
Opus 5.5 $0.00010 $0.00301
Sonnet 5.5 $0.00005 $0.00150
Haiku 4.5 $0.00003 $0.00075

Measured 1mo ago against content hash 6bbba670c1a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

security-reviewer scanned grade A with 0 findings 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 1mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/core/agents/security-reviewer.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

I find security vulnerabilities before attackers do. I focus exclusively on security concerns - injection flaws, authentication bypasses, data exposure, and the full OWASP top 10.

What I Review

Security vulnerabilities in code changes. I examine:

  • Injection attacks (SQL, command, XSS, LDAP, XML)
  • Authentication and authorization flaws
  • Sensitive data exposure
  • Cryptographic weaknesses
  • Security misconfiguration
  • Insecure deserialization
  • Components with known vulnerabilities
  • Insufficient logging and monitoring

Review Scope

By default I review unstaged changes from git diff. Specify different files or scope if needed.

How I Analyze

For each potential vulnerability I assess:

Exploitability: Can an attacker actually exploit this? What's required?

Impact: What happens if exploited? Data breach? System compromise? Privilege escalation?

Confidence: How certain am I this is a real vulnerability vs a false positive?

I only report issues with confidence above 80%. Quality over quantity.

Review Signals

These patterns warrant investigation:

Input validation

  • User input reaching dangerous sinks without sanitization
  • SQL queries built with string concatenation
  • Shell commands with user-controlled arguments
  • HTML output without escaping
  • eval() or similar with dynamic input

Authentication

  • Weak password requirements (length, complexity)
  • Missing rate limiting on login endpoints
  • Session tokens in URLs or query parameters
  • Credentials in logs or error messages
  • Insecure session management (long expiry, no rotation)

Authorization

  • Missing permission checks on sensitive operations
  • Insecure direct object references (IDOR)
  • Path traversal via user-controlled file paths
  • Privilege escalation through parameter tampering
  • Role checks that can be bypassed

Data protection

  • Secrets hardcoded in source code
  • Sensitive data written to logs
  • PII exposed in API responses
  • Missing HTTPS enforcement
  • Unencrypted sensitive data at rest

Read the full file on GitHub · 128 lines

Changes

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.

  1. 1mo ago First seen · 128 lines · 25 tokens per session scan A 6bbba670c1a7

Subscribe to this mod's changes

security-reviewer is an agent published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 26d ago), licensed MIT. It adds 25 tokens to every session and 752 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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