sast-xss

sast-xss is a skill for Claude Code, Codex from utkusen/sast-skills. It costs 99 tokens per session (7,607 once invoked), scanned A, original, MIT.

A code-security check for Cross-Site Scripting (XSS), a flaw where attacker-controlled text is treated as HTML or JavaScript in a web page. It traces user input to places where browsers render or execute it.

In plain words
What is it for?
Use it to inspect HTML, JavaScript, and browser-DOM output locations for reflected, stored, or client-side XSS paths. It finds candidate sinks, verifies input flows in batches, and combines the results.
Why use it?
It helps find code that could run an attacker’s script in another user’s browser. This can expose sessions or credentials and alter what users see.

Skill for Claude CodeCodex

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

Good fit Use it to inspect HTML, JavaScript, and browser-DOM output locations for reflected, stored, or client-side XSS paths. It finds candidate sinks, verifies input flows in batches, and combines the results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/utkusen/sast-skills/sast-xss
About the project

SAST Skills is a collection of agent workflows that inspect web and mobile application code for security vulnerabilities, where SAST means static application security testing. Developers and security reviewers use it to map a codebase, verify possible flaws, and produce a severity-ranked remediation report. The catalogue entries are the project's vulnerability-detection and reporting skills.

utkusen/sast-skills · 1,309 stars · on GitHub

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 utkusen/sast-skills --skill sast-xss
Clone the repo
git clone --depth 1 https://github.com/utkusen/sast-skills

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 sast-xss

README.md
[![agentmods](https://agentmods.dev/badge/skills/utkusen/sast-skills/sast-xss/github.svg)](https://agentmods.dev/skills/utkusen/sast-skills/sast-xss)
Your own site
<a href="https://agentmods.dev/skills/utkusen/sast-skills/sast-xss"><img src="https://agentmods.dev/badge/skills/utkusen/sast-skills/sast-xss/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 sast-xss

Your own site · 80×15
<a href="https://agentmods.dev/skills/utkusen/sast-skills/sast-xss"><img src="https://agentmods.dev/badge/skills/utkusen/sast-skills/sast-xss.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,607 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 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: 10 findings, 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 Output Handling · line 55
    Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.
    Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
  • high Output Handling · line 285
    Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.
    Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
  • high Output Handling · line 395
    Model output is used without validation or sanitization. Unvalidated output injected into downstream contexts (SQL, shell, HTML) enables injection attacks and arbitrary code execution.
    Fix: Validate and sanitize all model output before using it in downstream contexts. Use parameterized queries for SQL, shell quoting for commands, and HTML encoding for web output.
  • high Prompt Injection · line 157
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Prompt Injection · line 241
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium Excessive Agency · line 22
    Skill grants unrestricted tool access without appropriate constraints. An agent with unfettered tool access can perform arbitrary actions including file modification, network requests, and code execution.
    Fix: Restrict tool access to only the tools required for the skill's stated purpose. Use an explicit allowlist rather than granting blanket access.
  • medium Tool Misuse · line 56
    Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.
    Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
  • medium Tool Misuse · line 300
    Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.
    Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
  • medium Tool Misuse · line 396
    Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.
    Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
  • medium Tool Misuse · line 619
    Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.
    Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 $0.00099 $0.07607
Opus 5 $0.00049 $0.03803
Sonnet 5 $0.00020 $0.01521
Haiku 4.5 $0.00010 $0.00761

Measured 13d ago against content hash 034e4f5770d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sast-xss scanned grade A with 2 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 13d 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.

Unrestricted tool accesslowExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

XSS occurs when user-supplied input is incorporated into a web page's HTML, JavaScript, or DOM without proper escaping or sanitization. This allows attackers to inject and execute arbitrary scripts in victims' browsers,

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

> [curl command or browser payload to confirm the finding.
sast-files/.agents/skills/sast-xss/SKILL.md · 622 lines

How it starts

The opening of the file, as written. The whole thing — 622 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cross-Site Scripting (XSS) Detection

You are performing a focused security assessment to find Cross-Site Scripting vulnerabilities in a codebase. This skill uses a three-phase approach with subagents: recon (find sink sites), batched verify (trace taint for parallel batches of up to 3 sinks each), and merge (consolidate batch results into one report).

Prerequisites: sast/architecture.md must exist. Run the analysis skill first if it doesn't.


What is XSS

XSS occurs when user-supplied input is incorporated into a web page's HTML, JavaScript, or DOM without proper escaping or sanitization. This allows attackers to inject and execute arbitrary scripts in victims' browsers, leading to session hijacking, credential theft, defacement, and malware distribution.

The core pattern: unescaped, unsanitized user input reaches an HTML/JS output sink.

XSS Types

  • Reflected XSS: User input is immediately echoed back in the HTTP response (e.g., a search term rendered directly into the page HTML).
  • Stored XSS: User input is saved to persistent storage (database, file) and later rendered in HTML for other users.
  • DOM-based XSS: Client-side JavaScript reads from an attacker-controlled source (location.search, location.hash, document.cookie) and writes to a dangerous DOM sink (innerHTML, eval, document.write) without server involvement.

What XSS IS

Server-side HTML sinks — rendering user data into HTML responses without escaping:

  • Python/Jinja2: {{ var | safe }}, {% autoescape off %}...{{ var }}...{% endautoescape %}
  • Python/Django: mark_safe(var), format_html(...) with %s and unescaped input, {{ var | safe }} in templates
  • Python/Flask: Markup(var), render_template_string(f"...{var}...")
  • PHP: echo $var, print $var, <?= $var ?> without htmlspecialchars()
  • Ruby/Rails: raw(var), var.html_safe, <%= raw var %>, content_tag with .html_safe
  • Java/JSP: <%= var %>, ${var} without <c:out> or fn:escapeXml()
  • Java/Thymeleaf: th:utext="${var}" (unescaped), [(${var})]
  • Go/html-template misuse: using template.HTML(var), template.JS(var), template.URL(var) to bypass auto-escaping
  • C#/Razor: @Html.Raw(var), MvcHtmlString.Create(var)
  • Node.js/EJS: <%- var %> (unescaped), vs <%= var %> (safe)
  • Node.js/Handlebars: {{{ var }}} (triple-brace, unescaped)
  • Node.js/Pug: !{var} (unescaped)
  • Express: res.send("<html>..." + var + "..."), res.write("<p>" + var + "</p>")

Read the full file on GitHub · 622 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. 13d ago First seen · 622 lines · 99 tokens per session scan A 034e4f5770d8

Subscribe to this mod's changes

sast-xss is a skill published in the GitHub repository utkusen/sast-skills (1,309 stars, last pushed 5mo ago), licensed MIT. It adds 99 tokens to every session and 7,607 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 2 findings (unrestricted tool access, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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