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 skills add parisgroup-ai/imersao-ia-setup --skill security-practicesgit clone --depth 1 https://github.com/parisgroup-ai/imersao-ia-setupWrote 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/parisgroup-ai/imersao-ia-setup/security-practices)<a href="https://agentmods.dev/skills/parisgroup-ai/imersao-ia-setup/security-practices"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/security-practices/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/skills/parisgroup-ai/imersao-ia-setup/security-practices"><img src="https://agentmods.dev/badge/skills/parisgroup-ai/imersao-ia-setup/security-practices.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 | $0.00065 | $0.00780 |
| Opus 5.5 | $0.00026 | $0.00312 |
| Sonnet 5.5 | $0.00013 | $0.00156 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
security-practices 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 21d 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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Practices Skill
Input Validation
Never trust user input. Validate everything on the server.
import { z } from 'zod';
const registerSchema = z.object({
email: z.string().email().max(255).transform(v => v.toLowerCase().trim()),
password: z.string()
.min(8)
.regex(/[A-Z]/, 'Must contain uppercase')
.regex(/[a-z]/, 'Must contain lowercase')
.regex(/[0-9]/, 'Must contain number')
.regex(/[^A-Za-z0-9]/, 'Must contain special character'),
});
Password Security
import bcrypt from 'bcrypt';
const SALT_ROUNDS = 12;
async function hashPassword(password: string): Promise<string> {
return bcrypt.hash(password, SALT_ROUNDS);
}
async function verifyPassword(password: string, hash: string): Promise<boolean> {
return bcrypt.compare(password, hash);
}
JWT Authentication
const ACCESS_TOKEN_EXPIRY = '15m';
const REFRESH_TOKEN_EXPIRY = '7d';
function generateTokens(user) {
const accessToken = jwt.sign(
{ sub: user.id, type: 'access' },
process.env.JWT_ACCESS_SECRET,
{ expiresIn: ACCESS_TOKEN_EXPIRY }
);
const refreshToken = jwt.sign(
{ sub: user.id, type: 'refresh' },
process.env.JWT_REFRESH_SECRET,
{ expiresIn: REFRESH_TOKEN_EXPIRY }
);
return { accessToken, refreshToken };
}
SQL Injection Prevention
// ❌ VULNERABLE
const query = `SELECT * FROM users WHERE email = '${email}'`;
// ✅ SAFE - Parameterized
const user = await db.query('SELECT * FROM users WHERE email = $1', [email]);
Security Headers
import helmet from 'helmet';
app.use(helmet());
app.use(helmet.contentSecurityPolicy({
directives: {
defaultSrc: ["'self'"],
scriptSrc: ["'self'"],
styleSrc: ["'self'", "'unsafe-inline'"],
},
}));
Rate Limiting
import rateLimit from 'express-rate-limit';
const authLimiter = rateLimit({
windowMs: 60 * 60 * 1000, // 1 hour
max: 5, // 5 failed attempts
skipSuccessfulRequests: true,
});
app.use('/api/auth/login', authLimiter);
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.
- 21d ago First seen · 130 lines · 65 tokens per session scan A 8af9f0611dfd
security-practices is a skill published in the GitHub repository parisgroup-ai/imersao-ia-setup (1 stars, last pushed 20d ago), licensed MIT. It adds 65 tokens to every session and 780 once invoked, about $0.0003 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 2026-10-06.
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