security-hardening

security-hardening is a skill for Claude Code, Codex from JakubMikolajek/codex-skills-collection. It costs 73 tokens per session (2,340 once invoked), scanned A, original, MIT.

A security review guide for backend systems, which are the server-side parts of an application. It covers common web risks, login and permissions, secret storage, input checks, security headers, and API protection.

In plain words
What is it for?
Use it for security-focused code reviews, authentication and authorization work, new API endpoints, external integrations, and backend features going into production.
Why use it?
It helps find weaknesses before deployment, especially where code accepts user input, handles files or tokens, or exposes network endpoints.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for security-focused code reviews, authentication and authorization work, new API endpoints, external integrations, and backend features going into production.

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Install with agentmods
npx agentmods add skills/jakubmikolajek/codex-skills-collection/security-hardening
Install

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.

Any agent
npx skills add JakubMikolajek/codex-skills-collection --skill security-hardening
Clone the repo
git clone --depth 1 https://github.com/JakubMikolajek/codex-skills-collection

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for security-hardening

README.md
[![agentmods](https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/security-hardening/github.svg)](https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/security-hardening)
Your own site
<a href="https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/security-hardening"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/security-hardening/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.

agentmods 80×15 button for security-hardening

Your own site · 80×15
<a href="https://agentmods.dev/skills/jakubmikolajek/codex-skills-collection/security-hardening"><img src="https://agentmods.dev/badge/skills/jakubmikolajek/codex-skills-collection/security-hardening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,340 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 179
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.02340
Opus 5 $0.00036 $0.01170
Sonnet 5 $0.00015 $0.00468
Haiku 4.5 $0.00007 $0.00234

Measured 12d ago against content hash fc503797457f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

security-hardening 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 12d 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.

skills/security-hardening/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Hardening

This skill enforces structured security analysis before code reaches production. It covers the most common vulnerabilities found in backend systems and provides concrete mitigation patterns per category.

When to Use

  • Any backend feature that handles user input, file uploads, or external data
  • Any task involving authentication, authorization, sessions, or tokens
  • Code review with a security focus (/review + security scope)
  • Before deploying a new API endpoint, service, or integration to production
  • When the codebase is new and no security baseline has been established

When NOT to Use

  • Pure frontend UI tasks with no backend interaction
  • Infrastructure configuration reviewed separately under a dedicated infra checklist
  • Internal tooling with no external network exposure and no user data

Core Principle

Assume breach at every boundary. Every input is hostile, every token is potentially stolen, every dependency is potentially compromised. Security is not a final step — it is a constraint on every design decision.

Security Hardening Process

Use the checklist below and track progress:

Security hardening progress:
- [ ] Step 1: Inventory trust boundaries and data flows
- [ ] Step 2: Audit authentication and authorization
- [ ] Step 3: Validate input handling and injection surface
- [ ] Step 4: Review secrets and credential management
- [ ] Step 5: Check security headers and transport
- [ ] Step 6: Verify dependency and supply chain hygiene
- [ ] Step 7: Produce Security Review output

Step 1: Inventory trust boundaries and data flows

Map every point where untrusted data enters the system:

  • HTTP request bodies, query params, headers, cookies
  • File upload content and filenames
  • Webhook payloads from third parties
  • Data read from external APIs or message queues
  • Data read from the database that originated from user input

For each entry point, verify: who validates it, where, and how failures are handled.

Read the full file on GitHub · 229 lines

Changes

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.

  1. 12d ago First seen · 229 lines · 73 tokens per session scan A fc503797457f

Subscribe to this mod's changes

security-hardening is a skill published in the GitHub repository JakubMikolajek/codex-skills-collection (5 stars, last pushed 7d ago), licensed MIT. It adds 73 tokens to every session and 2,340 once invoked, about $0.0004 per session on Opus 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 2026-08-31.

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