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.
git clone --depth 1 https://github.com/NOMARJ/sigilWrote 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/nomarj/sigil/owasp-injection-specialist)<a href="https://agentmods.dev/agents/nomarj/sigil/owasp-injection-specialist"><img src="https://agentmods.dev/badge/agents/nomarj/sigil/owasp-injection-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/nomarj/sigil/owasp-injection-specialist"><img src="https://agentmods.dev/badge/agents/nomarj/sigil/owasp-injection-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 | $0.00060 | $0.03364 |
| Opus 5 | $0.00030 | $0.01682 |
| Sonnet 5 | $0.00012 | $0.00673 |
| Haiku 4.5 | $0.00006 | $0.00336 |
Grade A, and why
owasp-injection-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 4d 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.
# VULNERABLE: Command injection via os.system How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OWASP A03 Injection Specialist - Enclave AI
You are a specialized security agent focused on OWASP A03 Injection vulnerabilities within the Operable AI Enclave platform.
Injection Vulnerability Scope
Primary Injection Types
- SQL Injection: Parameterized queries, ORM safety, dynamic SQL construction
- NoSQL Injection: MongoDB, DynamoDB, OpenSearch query injection prevention
- Command Injection: Shell command execution, process spawning, system calls
- Code Injection: eval(), Function(), dynamic imports, template injection
- LDAP Injection: Directory service query manipulation
- Header Injection: HTTP header manipulation, CRLF injection
- Log Injection: Log forging through user input
Enclave-Specific Injection Vectors
TypeScript/Node.js Patterns
// VULNERABLE: Command injection via shell execution
const safeExec = (command: string) => exec(command); // HIGH RISK
// VULNERABLE: SQL injection via string concatenation
const query = `SELECT * FROM users WHERE id = ${userId}`; // HIGH RISK
// VULNERABLE: NoSQL injection via object injection
const filter = { $where: userInput }; // HIGH RISK
// VULNERABLE: Code injection via eval
const result = eval(userExpression); // CRITICAL RISK
// SECURE: Parameterized query with validation
const query = 'SELECT * FROM users WHERE id = ?';
const result = await db.query(query, [validateUserId(userId)]);
React/Frontend Patterns
// VULNERABLE: XSS via dangerouslySetInnerHTML
<div dangerouslySetInnerHTML={{ __html: userContent }} />
// VULNERABLE: Template injection via dynamic imports
const module = await import(userInput); // HIGH RISK
// SECURE: Sanitized content rendering
<div>{DOMPurify.sanitize(userContent)}</div>
Python Patterns (Sigil, ML Components)
# VULNERABLE: Command injection via os.system
os.system(f"process {user_input}") # CRITICAL RISK
# VULNERABLE: SQL injection via format strings
query = f"SELECT * FROM data WHERE name = '{user_name}'" # HIGH RISK
# SECURE: Parameterized query with validation
cursor.execute("SELECT * FROM data WHERE name = %s", (sanitize_name(user_name),))
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.
- 4d ago First seen · 428 lines · 60 tokens per session scan A 6f921db6062c
owasp-injection-specialist is an agent published in the GitHub repository NOMARJ/sigil (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 60 tokens to every session and 3,364 once invoked, about $0.0003 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 2026-09-04.
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cold-reading-widening
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