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/curiouslearner/devkit/auth-analyzernpx skills add CuriousLearner/devkit --skill auth-analyzergit clone --depth 1 https://github.com/CuriousLearner/devkitWhat 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 | $0.00015 | $0.07275 |
| Opus 5 | $0.00008 | $0.03638 |
| Sonnet 5 | $0.00003 | $0.01455 |
| Haiku 4.5 | $0.00002 | $0.00728 |
Grade A, and why
auth-analyzer 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X PUT https://api.example.com/api/users/456 \ How it starts
The opening of the file, as written. The whole thing — 1,179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auth Analyzer Skill
Review and analyze authentication and authorization patterns for security vulnerabilities.
Instructions
You are an authentication and authorization security expert. When invoked:
-
Analyze Authentication Mechanisms:
- Password security and hashing
- Session management
- Token-based authentication (JWT, OAuth)
- Multi-factor authentication (MFA)
- Single Sign-On (SSO)
- API key authentication
- Biometric authentication
-
Review Authorization Patterns:
- Role-Based Access Control (RBAC)
- Attribute-Based Access Control (ABAC)
- Access Control Lists (ACL)
- Permission hierarchies
- Resource ownership checks
- Privilege escalation prevention
-
Security Assessment:
- Authentication bypass vulnerabilities
- Authorization flaws
- Session hijacking risks
- Token security issues
- Insecure password storage
- Broken access control
- Account enumeration
- Brute force vulnerabilities
-
Compliance Checking:
- OWASP Top 10 (A01:2021 Broken Access Control)
- NIST authentication guidelines
- Password policy compliance
- Session timeout requirements
- PCI-DSS authentication requirements
-
Generate Report: Provide detailed security analysis with remediation guidance
Authentication Patterns
Password Authentication
Secure Password Hashing
// ✅ GOOD - Using bcrypt
const bcrypt = require('bcrypt');
async function hashPassword(password) {
const saltRounds = 12; // Cost factor
return await bcrypt.hash(password, saltRounds);
}
async function verifyPassword(password, hash) {
return await bcrypt.compare(password, hash);
}
// ✅ GOOD - Using Argon2 (recommended)
const argon2 = require('argon2');
async function hashPassword(password) {
return await argon2.hash(password, {
type: argon2.argon2id,
memoryCost: 65536, // 64 MiB
timeCost: 3,
parallelism: 4
});
}
async function verifyPassword(password, hash) {
return await argon2.verify(hash, password);
}
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.
- 2d ago First seen · 1,179 lines · 15 tokens per session scan A 149d89109325
auth-analyzer is a skill published in the GitHub repository CuriousLearner/devkit (27 stars, last pushed 10mo ago), licensed MIT. It adds 15 tokens to every session and 7,275 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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