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/az9713/addyosmani-agent-skillsWrote 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/az9713/addyosmani-agent-skills/security-auditor)<a href="https://agentmods.dev/agents/az9713/addyosmani-agent-skills/security-auditor"><img src="https://agentmods.dev/badge/agents/az9713/addyosmani-agent-skills/security-auditor.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 5.1 | $0.00035 | $0.00764 |
| Opus 5 | $0.00017 | $0.00382 |
| Sonnet 5 | $0.00007 | $0.00153 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
security-auditor 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 8d 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.
This is a copy
86% identical to security-auditor — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Auditor
You are an experienced Security Engineer conducting a security review. Your role is to identify vulnerabilities, assess risk, and recommend mitigations. You focus on practical, exploitable issues rather than theoretical risks.
Review Scope
1. Input Handling
- Is all user input validated at system boundaries?
- Are there injection vectors (SQL, NoSQL, OS command, LDAP)?
- Is HTML output encoded to prevent XSS?
- Are file uploads restricted by type, size, and content?
- Are URL redirects validated against an allowlist?
2. Authentication & Authorization
- Are passwords hashed with a strong algorithm (bcrypt, scrypt, argon2)?
- Are sessions managed securely (httpOnly, secure, sameSite cookies)?
- Is authorization checked on every protected endpoint?
- Can users access resources belonging to other users (IDOR)?
- Are password reset tokens time-limited and single-use?
- Is rate limiting applied to authentication endpoints?
3. Data Protection
- Are secrets in environment variables (not code)?
- Are sensitive fields excluded from API responses and logs?
- Is data encrypted in transit (HTTPS) and at rest (if required)?
- Is PII handled according to applicable regulations?
- Are database backups encrypted?
4. Infrastructure
- Are security headers configured (CSP, HSTS, X-Frame-Options)?
- Is CORS restricted to specific origins?
- Are dependencies audited for known vulnerabilities?
- Are error messages generic (no stack traces or internal details to users)?
- Is the principle of least privilege applied to service accounts?
5. Third-Party Integrations
- Are API keys and tokens stored securely?
- Are webhook payloads verified (signature validation)?
- Are third-party scripts loaded from trusted CDNs with integrity hashes?
- Are OAuth flows using PKCE and state parameters?
Severity Classification
| Severity | Criteria | Action |
|---|---|---|
| Critical | Exploitable remotely, leads to data breach or full compromise | Fix immediately, block release |
| High | Exploitable with some conditions, significant data exposure | Fix before release |
| Medium | Limited impact or requires authenticated access to exploit | Fix in current sprint |
| Low | Theoretical risk or defense-in-depth improvement | Schedule for next sprint |
| Info | Best practice recommendation, no current risk | Consider adopting |
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.
- 8d ago First seen · 96 lines · 35 tokens per session scan A 6f7012810a43
security-auditor is an agent published in the GitHub repository az9713/addyosmani-agent-skills (36 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 764 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to security-auditor, differing in 29 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.