gitscape.ai: Skill for Claude Code

.agents/skills/security-and-hardening/SKILL.md

security-and-hardening is a skill for Claude Code, Codex from jmxt3/gitscape.ai. It costs 48 tokens per session (2,664 once invoked), scanned A, a copy of security-and-hardening, Apache-2.0.

A set of security practices for software that accepts user input, handles accounts or sensitive data, or connects to outside services. It treats incoming data as untrusted and requires checks at system boundaries.

In plain words
What is it for?
Use it when building forms, APIs, authentication, authorization, file uploads, webhooks, payments, personal-data handling, or third-party integrations.
Why use it?
It reduces common risks such as injection attacks, stolen sessions, exposed secrets, unsafe output, and weak password storage.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; installed under .agents/ (shared by several agents).

This is jmxt3/gitscape.ai's own configuration. It tells Claude Code and Codex how to work on gitscape.ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gitscape.ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jmxt3/gitscape.ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jmxt3/gitscape.ai/main/.agents/skills/security-and-hardening/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jmxt3/gitscape.ai

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-and-hardening

README.md
[![agentmods](https://agentmods.dev/badge/skills/jmxt3/gitscape.ai/security-and-hardening/github.svg)](https://agentmods.dev/skills/jmxt3/gitscape.ai/security-and-hardening)
Your own site
<a href="https://agentmods.dev/skills/jmxt3/gitscape.ai/security-and-hardening"><img src="https://agentmods.dev/badge/skills/jmxt3/gitscape.ai/security-and-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-and-hardening

Your own site · 80×15
<a href="https://agentmods.dev/skills/jmxt3/gitscape.ai/security-and-hardening"><img src="https://agentmods.dev/badge/skills/jmxt3/gitscape.ai/security-and-hardening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,664 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.
Origin 100% copy Near-identical to another mod 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 $0.00048 $0.02664
Opus 5 $0.00024 $0.01332
Sonnet 5 $0.00010 $0.00533
Haiku 4.5 $0.00005 $0.00266

Measured 11d ago against content hash d13c91c5aa27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

security-and-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 11d 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.

Origin

This is a copy

100% identical to security-and-hardening — 0 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.

.agents/skills/security-and-hardening/SKILL.md · 350 lines

How it starts

The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security and Hardening

Overview

Security-first development practices for web applications. Treat every external input as hostile, every secret as sacred, and every authorization check as mandatory. Security isn't a phase — it's a constraint on every line of code that touches user data, authentication, or external systems.

When to Use

  • Building anything that accepts user input
  • Implementing authentication or authorization
  • Storing or transmitting sensitive data
  • Integrating with external APIs or services
  • Adding file uploads, webhooks, or callbacks
  • Handling payment or PII data

The Three-Tier Boundary System

Always Do (No Exceptions)

  • Validate all external input at the system boundary (API routes, form handlers)
  • Parameterize all database queries — never concatenate user input into SQL
  • Encode output to prevent XSS (use framework auto-escaping, don't bypass it)
  • Use HTTPS for all external communication
  • Hash passwords with bcrypt/scrypt/argon2 (never store plaintext)
  • Set security headers (CSP, HSTS, X-Frame-Options, X-Content-Type-Options)
  • Use httpOnly, secure, sameSite cookies for sessions
  • Run npm audit (or equivalent) before every release

Ask First (Requires Human Approval)

  • Adding new authentication flows or changing auth logic
  • Storing new categories of sensitive data (PII, payment info)
  • Adding new external service integrations
  • Changing CORS configuration
  • Adding file upload handlers
  • Modifying rate limiting or throttling
  • Granting elevated permissions or roles

Never Do

  • Never commit secrets to version control (API keys, passwords, tokens)
  • Never log sensitive data (passwords, tokens, full credit card numbers)
  • Never trust client-side validation as a security boundary
  • Never disable security headers for convenience
  • Never use eval() or innerHTML with user-provided data
  • Never store sessions in client-accessible storage (localStorage for auth tokens)
  • Never expose stack traces or internal error details to users

Read the full file on GitHub · 350 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. 11d ago First seen · 350 lines · 48 tokens per session scan A d13c91c5aa27

Subscribe to this mod's changes

security-and-hardening is a skill published in the GitHub repository jmxt3/gitscape.ai (33 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 2,664 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to security-and-hardening, differing in 0 lines, and is treated as a copy.

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