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 skills add UnboundCompute/security-agent-skills --skill auditing-clickjacking-and-ui-redressinggit clone --depth 1 https://github.com/UnboundCompute/security-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/skills/unboundcompute/security-agent-skills/auditing-clickjacking-and-ui-redressing)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/auditing-clickjacking-and-ui-redressing"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/auditing-clickjacking-and-ui-redressing/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.
<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/auditing-clickjacking-and-ui-redressing"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/auditing-clickjacking-and-ui-redressing.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00209 | $0.02321 |
| Opus 5.5 | $0.00084 | $0.00928 |
| Sonnet 5.5 | $0.00042 | $0.00464 |
| Haiku 4.5 | $0.00021 | $0.00232 |
Grade A, and why
auditing-clickjacking-and-ui-redressing 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditing clickjacking and UI redressing: the user clicks your button on the attacker's page
Clickjacking works because the browser will happily render your real, authenticated page inside a frame on
someone else's site, and the user cannot tell. The attacker loads your page in a transparent or hidden iframe,
positions it under decoy content, and lures the user into clicking what looks like the attacker's button, when
the click actually lands on your page, taken with the user's own session. So any sensitive, state-changing
action that a single click can trigger, changing a setting, confirming a purchase, granting an approval,
connecting an account, is exposed if your page can be framed by another origin. The defense is to refuse
framing by untrusted origins, with a Content-Security-Policy frame-ancestors directive (and the older
X-Frame-Options as a fallback), and, for the highest-value actions, to not make them one-click blind: a
confirmation the overlay cannot fake. Related redressing tricks, drag-and-drop and keystroke capture, exploit
the same framing to steal input. The audit checks, for every sensitive page, whether it can be framed and
whether its state-changing actions are reachable by a single hidden click. You audit this by trying to frame
the real page from another origin and drive its actions.
When to use
- A web page performs authenticated, state-changing actions triggerable by a click (settings, purchase, approval, connect, delete).
- The page may lack a
frame-ancestorsCSP directive or X-Frame-Options, so another origin can frame it. - A sensitive action may be one-click with no confirmation an overlay cannot hide.
Scope check
Audit clickjacking only on applications you own or are authorized to assess. Framing the real site to demonstrate the attack uses a real authenticated session, so use test accounts and your own attacker-page test harness and never trick a real user or act on an account that is not yours. If you can't name the authorization, stop.
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.
- 1mo ago First seen · 145 lines · 209 tokens per session scan A 39c3f7a578a5
auditing-clickjacking-and-ui-redressing is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 209 tokens to every session and 2,321 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-05.
Other skills, from other repositories
prodcheck-review
Review this codebase against the prodcheck pre-production checklists — security, performance, scale, integrations, post-launch readiness and people. Use when asked to check whether a project is ready to ship, to audit an area before launch, or to work through a specific checklist. Produces evidence with file:line…
integrate-arcjet-guard-genkit
Integrate Arcjet security into a Genkit JS agent using @arcjet/guard — wrap ai.defineTool, put guardMiddleware on generate({ use }) for unwrapped / MCP / filesystem tools, and read a caller-owned id from generate({ context }). Use when asked to add Arcjet to genkit, rate limit its tools, screen inbound messages, or…
integrate-arcjet-guard-tanstack-ai
Integrate Arcjet security into a TanStack AI chat() app using @arcjet/guard — put guardMiddleware first on chat({ middleware }) so onBeforeToolCall gates tools, and read a caller-owned id from chat({ context }). Use when asked to add Arcjet to TanStack AI, rate limit its tools, screen inbound messages, or block prompt…
integrate-arcjet-guard-claude-managed-agents
Integrate Arcjet security into Claude Managed Agents (hosted REST+SSE, beta managed-agents-2026-04-01) using @arcjet/guard — screen user.message / initialevents before sessions.events.send, and gate custom tools on agent.customtooluse. Use when asked to add Arcjet to Claude Managed Agents, rate limit custom tools, or…
linear-claude-skill
Manage Linear issues, projects, and teams.
varlock-claude-skill
Secure environment variable management ensuring secrets are never exposed in Claude sessions, terminals, logs, or git commits.