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.
npx agentmods add skills/srajangpt1/ai-security-crew/verify-codenpx skills add Srajangpt1/ai-security-crew --skill verify-codegit clone --depth 1 https://github.com/Srajangpt1/ai-security-crewWrote 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/skills/srajangpt1/ai-security-crew/verify-code)<a href="https://agentmods.dev/skills/srajangpt1/ai-security-crew/verify-code"><img src="https://agentmods.dev/badge/skills/srajangpt1/ai-security-crew/verify-code.svg" alt="Measured on agentmods" 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 | $0.00155 | $0.01322 |
| Opus 5 | $0.00077 | $0.00661 |
| Sonnet 5 | $0.00031 | $0.00264 |
| Haiku 4.5 | $0.00015 | $0.00132 |
Grade A, and why
verify-code 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 5d 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.
- Command injection: `os.system()`, `subprocess` with `shell=True` How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perform a security review of the following code:
$ARGUMENTS
What to do
Review the code provided in the arguments above. If no code was provided, ask the user to paste the code or specify a file path to read. If a file path is mentioned, read the file first.
Step 1 — Detect Technologies
Identify language and frameworks from:
- File extension:
.py→ Python,.ts/.tsx→ TypeScript,.go→ Go,.java→ Java,.rb→ Ruby,.php→ PHP,.sql→ SQL - Import statements:
import django,require('express'),import React,use actix_web - Syntax patterns:
def/class→ Python,func→ Go,public class→ Java,fn→ Rust - Framework indicators:
@app.route→ Flask,useState→ React,@Controller→ Spring
Step 2 — Check for Vulnerabilities by Language
Python:
- Command injection:
os.system(),subprocesswithshell=True - Unsafe deserialization:
pickle.loads()on untrusted data - Code execution:
eval()/exec()with user-controlled input - SQL injection via f-strings or
%formatting in queries - Path traversal in
open()with user-supplied paths
JavaScript / TypeScript:
- XSS:
innerHTML,document.write(),dangerouslySetInnerHTMLwithout sanitization - Prototype pollution via
Object.assign/ spread with user data eval()ornew Function()with dynamic content- Unvalidated
postMessagehandlers - Sensitive data in
localStorageorsessionStorage
React:
dangerouslySetInnerHTMLwithout DOMPurify or equivalent- User input rendered directly in JSX without escaping
- Sensitive tokens/data stored in component state
Java:
Statementinstead ofPreparedStatementfor SQLRuntime.exec()with user-controlled input- XXE vulnerabilities in XML parsers
- Unsafe deserialization (
ObjectInputStream)
Go:
- SQL injection in raw
database/sqlqueries - Command injection in
exec.Commandwith user input - Path traversal in file serving handlers
- Race conditions in concurrent code without proper locking
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.
- 5d ago First seen · 155 lines · 155 tokens per session scan A 86f58fea7403
verify-code is a skill published in the GitHub repository Srajangpt1/ai-security-crew (68 stars, last pushed 4mo ago), licensed MIT. It adds 155 tokens to every session and 1,322 once invoked, about $0.0008 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.
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