القائمة
Network interception, request monitoring, cookie management, localStorage and sessionStorage operations, HTTP headers, and credentials.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | agent-browser-network |
| version | 1.0.0 |
| description | Network interception, request monitoring, cookie management, localStorage and sessionStorage operations, HTTP headers, and credentials. |
| allowed-tools | ["Bash"] |
Intercept requests, manage cookies, and access browser storage.
agent-browser network route <url> # Intercept matching requests
agent-browser network route <url> --abort # Block matching requests
agent-browser network route <url> --body <json> # Mock response with JSON body
agent-browser network unroute [url] # Remove route (all if no URL)
agent-browser network requests # View all tracked requests
agent-browser network requests --filter <api> # Filter by URL pattern
agent-browser cookies # Get all cookies
agent-browser cookies set <name> <value> # Set a cookie
agent-browser cookies clear # Clear all cookies
agent-browser storage local # Get all localStorage entries
agent-browser storage local <key> # Get specific key
agent-browser storage local set <key> <value> # Set key-value pair
agent-browser storage local clear # Clear all localStorage
agent-browser storage session # Get all sessionStorage entries
agent-browser storage session <key> # Get specific key
agent-browser storage session set <key> <value> # Set key-value pair
agent-browser storage session clear # Clear all sessionStorage
agent-browser set headers '{"X-Custom": "value"}' # Set extra HTTP headers
agent-browser set credentials <user> <pass> # HTTP basic auth credentials
# Block analytics requests
agent-browser network route "*analytics*" --abort
# Mock an API response
agent-browser network route "*/api/user" --body '{"name":"Test","role":"admin"}'
# Monitor API calls
agent-browser network requests --filter "/api/"
# Set auth cookie
agent-browser cookies set "session" "abc123"
# Read a localStorage token
agent-browser storage local "authToken"
* wildcards)--abort to block ads, tracking, or external resources during testing--body to mock API responses for testing without a backendRun forever as a resident worker in ONE Codex turn: every 5 minutes poll a watched directory for new task files and execute each one to completion, then keep watching — the turn never ends. Use when the user says "queue-loop", "무한 루프로 돌려", "큐 감시해서 계속 실행", "resident worker", "watch a directory and run new tasks forever", or wants a single invocation that keeps picking up dropped commands indefinitely. Because the work stays inside one already-running turn, it keeps issuing model requests across usage-limit windows (the workspace spend cap gates only NEW top-level turns, not an in-flight one). Do NOT use for a single one-shot task, or when the user wants the turn to finish and report back.
Use when the user wants Korean prose cleaned of AI tone, stiff old-fashioned (할아버지/훈장/공문서) tone, translationese, and excessive quotation marks - or asks to "글 다듬어", "자연스럽게", "AI 말투 제거", "할아버지 말투 빼", "deslop 한국어", or "writing-fixer". Removes as many AI and unnatural expressions as possible in one thorough pass while preserving meaning, code, math, and markup. Korean prose only.
Inject a task into the queue-loop worker's queue so a running Codex resident worker picks it up on its next poll (~5 min). Use when the user says "queue-submit", "큐에 작업 넣어", "task 주입해", "이거 워커한테 넘겨", "submit a task to the codex worker", "enqueue this for queue-loop", or wants to hand a job off to the always-on worker instead of doing it inline. It only writes a *.task file into the watched queue directory (default ~/codex-queue) — it does NOT run the task in this session. Do not use when the user wants the work done right now in the current session.
한국어 텍스트에서 AI가 쓴 흔적, 번역체, 부자연스러운 표현을 제거하고 자연스러운 한국어로 다시 써 주는 스킬. 말투 통일, 문장부호 교정, 피동 표현 정리, 영어 직역체 제거를 수행한다.
Iteratively review the current repository, plan fixes from the reviews, and implement the plans. Runs three prompts in strict order (deep review → plan from reviews → implement with ralph) and repeats the full three-prompt cycle up to N times (default 100). Context is cleaned between iterations by spawning each full cycle in a fresh subagent.
Browser configuration: viewport sizing, device emulation, geolocation, offline mode, color scheme, and HTTP settings.