browser-agent

browser-agent is a skill for Cursor from H-mmer/pentest-agents. It costs 44 tokens per session (1,026 once invoked), scanned A, original, no licence file.

A browser automation agent for interactive web security testing. It handles actions such as signing in, following multi-step flows, and checking behavior in another user's context.

In plain words
What is it for?
Use it for login flows, multi-step CSRF tests, stored XSS checks, and other tests requiring browser interaction.
Why use it?
It helps test vulnerabilities that cannot be verified with simple HTTP requests alone.

Skill for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it for login flows, multi-step CSRF tests, stored XSS checks, and other tests requiring browser interaction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/h-mmer/pentest-agents/agent-browser-agent
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 H-mmer/pentest-agents --skill agent-browser-agent
Clone the repo
git clone --depth 1 https://github.com/H-mmer/pentest-agents

Made for: Cursor.

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 browser-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/h-mmer/pentest-agents/agent-browser-agent.svg)](https://agentmods.dev/skills/h-mmer/pentest-agents/agent-browser-agent)
Your own site
<a href="https://agentmods.dev/skills/h-mmer/pentest-agents/agent-browser-agent"><img src="https://agentmods.dev/badge/skills/h-mmer/pentest-agents/agent-browser-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,026 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00044 $0.01026
Opus 5 $0.00022 $0.00513
Sonnet 5 $0.00009 $0.00205
Haiku 4.5 $0.00004 $0.00103

Measured 4d ago against content hash 7b4af0ecb8f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

browser-agent scanned grade A with 1 finding 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 4d 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.

Makes network callslowCapability

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

1. Capture HTTP request/response pairs as evidence: `curl -v ... 2>&1 | tee evidence/step_N_request.txt`
providers/cursor/.cursor/skills/agent-browser-agent/SKILL.md · 89 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 89 lines · 44 tokens per session scan A 7b4af0ecb8f5

Subscribe to this mod's changes

browser-agent is a skill published in the GitHub repository H-mmer/pentest-agents (817 stars, last pushed 2mo ago), with no licence file. It adds 44 tokens to every session and 1,026 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

web2-vuln-classes

Complete reference for 26 web2 bug classes with root causes, detection patterns, bypass tables, exploit techniques, and real paid examples. Covers IDOR, auth bypass, XSS, SSRF (11 IP bypass techniques), SQLi, business logic, race conditions, OAuth/OIDC, file upload (10 bypass techniques), GraphQL, LLM/AI (ASI01-ASI10…

Awarexone/Agentic-Bug-Hunter · 351 tokens

web2-recon

Web2 recon pipeline — subdomain enumeration (subfinder, Chaos API, assetfinder), live host discovery (dnsx, httpx), URL crawling (katana, waybackurls, gau), directory fuzzing (ffuf), JS analysis (LinkFinder, SecretFinder), continuous monitoring (new subdomain alerts, JS change detection, GitHub commit watch). Use when…

Awarexone/Agentic-Bug-Hunter · 103 tokens

bug-bounty

Complete bug bounty workflow — recon (subdomain enumeration, asset discovery, fingerprinting, HackerOne scope, source code audit), pre-hunt learning (disclosed reports, tech stack research, mind maps, threat modeling), vulnerability hunting (IDOR, SSRF, XSS, auth bypass, CSRF, race conditions, SQLi, XXE, file upload…

Awarexone/Agentic-Bug-Hunter · 371 tokens

credential-attack

Password spray methodology for bug bounty — when to do it vs web-vuln hunting, the wordlist-gen + breach-check + osint-employees + spray pipeline, mode selection (http-form / oauth / o365 / okta), rate-limit + lockout tactics, BBP legal guardrails, success detection, and the spray → authenticated /hunt chain pattern.…

Awarexone/Agentic-Bug-Hunter · 102 tokens

graphql-audit

GraphQL security hunting — introspection abuse, field suggestion enumeration (clairvoyance), batching DoS, IDOR via aliasing, auth bypass, injection via arguments, subscription abuse, depth/complexity bombs, and WAF bypass. Covers graphw00f fingerprinting, gqlmap, graphql-cop, and inql. Use when a target exposes a…

Awarexone/Agentic-Bug-Hunter · 92 tokens

mobile-pentest

Mobile app pentest for bug bounty (Android APK + iOS IPA) — runtime-first workflow: install app, proxy through Burp/mitmproxy, drive the UI, capture packets, then test the API exactly like a web target; escalate to decompile (apktool/jadx) and Frida/objection only when traffic is SSL-pinned, encrypted, or absent.…

Awarexone/Agentic-Bug-Hunter · 205 tokens