sc-clickjacking

sc-clickjacking is a skill for Claude Code, Codex from ersinkoc/security-check. It costs 24 tokens per session (800 once invoked), scanned A, original, MIT.

A security check for clickjacking, an attack where a malicious page places another site inside an invisible frame to trick users into clicking. It checks frame-protection headers and JavaScript frame-blocking measures.

In plain words
What is it for?
Use it to inspect HTML-serving web applications for missing X-Frame-Options, missing CSP frame-ancestors rules, and bypassable framebusting code.
Why use it?
It helps find web pages that can be embedded by untrusted sites and may expose users to deceptive clicks.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/ersinkoc/security-check/sc-clickjacking
Any agent
npx skills add ersinkoc/security-check --skill sc-clickjacking
Clone the repo
git clone --depth 1 https://github.com/ersinkoc/security-check

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 sc-clickjacking

README.md
[![agentmods](https://agentmods.dev/badge/skills/ersinkoc/security-check/sc-clickjacking.svg)](https://agentmods.dev/skills/ersinkoc/security-check/sc-clickjacking)
Your own site
<a href="https://agentmods.dev/skills/ersinkoc/security-check/sc-clickjacking"><img src="https://agentmods.dev/badge/skills/ersinkoc/security-check/sc-clickjacking.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 800 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00024 $0.00800
Opus 5 $0.00012 $0.00400
Sonnet 5 $0.00005 $0.00160
Haiku 4.5 $0.00002 $0.00080

Measured 5d ago against content hash 829e58ab645b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sc-clickjacking 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 5d 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/sc-clickjacking/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SC: Clickjacking / UI Redressing

Purpose

Detects clickjacking vulnerabilities where applications can be embedded in iframes on malicious sites, tricking users into clicking hidden elements. Checks for missing X-Frame-Options header, missing Content-Security-Policy frame-ancestors directive, and framebusting bypass vulnerabilities.

Activation

Called by sc-orchestrator during Phase 2 when web applications serving HTML are detected.

Phase 1: Discovery

Keyword Patterns to Search

"X-Frame-Options", "frame-ancestors", "DENY", "SAMEORIGIN",
"helmet", "frameguard", "X_FRAME_OPTIONS",
"SECURE_BROWSER_XSS_FILTER", "clickjack"

Checks

  1. Is X-Frame-Options header set? (DENY or SAMEORIGIN)
  2. Is Content-Security-Policy: frame-ancestors set?
  3. Are both missing? (Clickjacking possible)
  4. Is there JavaScript-based framebusting that can be bypassed?

Configuration Examples

// VULNERABLE: No frame protection headers
app.get('/', (req, res) => {
  res.send('<html>...');  // Can be iframed by any site
});

// SAFE: Using helmet
const helmet = require('helmet');
app.use(helmet.frameguard({ action: 'deny' }));
// Or CSP
app.use(helmet.contentSecurityPolicy({
  directives: { frameAncestors: ["'self'"] }
}));
# Django settings.py
X_FRAME_OPTIONS = 'DENY'  # SAFE
# If missing → VULNERABLE
// SAFE: Set header in middleware
func securityHeaders(next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        w.Header().Set("X-Frame-Options", "DENY")
        w.Header().Set("Content-Security-Policy", "frame-ancestors 'none'")
        next.ServeHTTP(w, r)
    })
}

Severity Classification

  • Critical: Missing frame protection on pages with sensitive actions (transfers, settings)
  • High: Missing frame protection on authenticated pages
  • Medium: Missing frame protection on public pages with forms
  • Low: Missing CSP frame-ancestors when X-Frame-Options is set (defense in depth)

Read the full file on GitHub · 94 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. 5d ago First seen · 94 lines · 24 tokens per session scan A 829e58ab645b

Subscribe to this mod's changes

sc-clickjacking is a skill published in the GitHub repository ersinkoc/security-check (56 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 800 once invoked, about $0.0001 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens