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humanize-automation

Human-like mouse, keyboard and scroll behavior for behavioral bot bypass.

Install / Use

npx skills add uphiago/recon-skills --skill humanize-automation

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Category

Automation

Supported Platforms

Universal

Our assessment of humanize-automation

humanize-automation scores 89/100 on our quality scale, 1080th of 2,750 Automation skills we index (top 40%).

Its SKILL.md is 8.8 KB long, well organised into 26 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

With 1,280 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 29 days ago, so humanize-automation is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

humanize-automation compared with similar skills

All 4 of these similar skills score higher than humanize-automation; compare them before choosing.

SkillScoreStarsUpdatedFormat
humanize-automation (this skill)by uphiago891.3k29d agoSKILL.md
Agent-Reachby Panniantong10086.6k15d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md
rufloby ruvnet10073.6ktodayCLAUDE.md
Scraplingby D4Vinci10084.8ktodayMCP Server

Frequently asked questions

How do I install humanize-automation?
Run npx skills add uphiago/recon-skills --skill humanize-automation. The install tabs above show the steps for each supported agent.
Which AI agents does humanize-automation work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is humanize-automation safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is humanize-automation still maintained?
The repository was last updated 29 days ago, so humanize-automation is actively maintained.

name: humanize-automation description: Human-like mouse, keyboard and scroll behavior for behavioral bot bypass. version: 1.1.0 revision_date: 2026-07-25 license: MIT platforms: [linux] compatibility: Requires python3 tags: [recon, humanize, behavioral, anti-bot, mouse, keyboard, automation] category: recon related_skills:

  • stealth-browser-launch
  • tls-fingerprint-impersonation

Humanize Automation

Replace instant programmatic interactions with human-like mouse movements, keyboard typing, and scroll patterns. Patches Playwright's API at the class level — page.click(), page.type(), page.fill(), and Locator methods are automatically replaced with Bézier-curved mouse paths, per-character typing with mistypes, and multi-phase scroll acceleration. One flag (humanize=True) enables all behavioral patches. No code changes required.

When to Use

  • Target uses behavioral bot detection (mouse trajectory analysis, typing speed profiling).
  • reCAPTCHA v3 scores are low (<0.3) despite correct browser fingerprint.
  • Target times out or challenges after rapid form submissions.
  • Need to simulate a real user browsing session for login or account creation.
  • Target uses requestAnimationFrame-based mouse movement tracking.

Prerequisites

  • terminal with python3.
  • cloakbrowser installed: pip install cloakbrowser.
  • Or standalone Playwright with custom patching: import patch_page from the humanize module.

Quick Start

from cloakbrowser import launch

browser = launch(humanize=True)
page = browser.new_page()
page.goto("https://target.com/login")

# All interactions are automatically humanized
page.locator("#email").fill("user@example.com")     # per-character timing
page.locator("#password").fill("password123")       # with thinking pauses
page.locator("button[type=submit]").click()         # Bézier curve movement
browser.close()

Procedure

Phase 1 — Default Humanization

One flag enables all behavior patches:

browser = launch(
    headless=False,
    proxy="http://residential-proxy:port",
    geoip=True,
    humanize=True,  # enables all behavioral patches
)
page = browser.new_page()
page.goto("https://target.com")

# All Playwright interactions are replaced with human-like equivalents
page.locator("input[name='search']").fill("restricted query")
page.locator("button[type='submit']").click()

Phase 2 — Careful Mode (Slower, More Deliberate)

For sites that profile interaction speed:

browser = launch(
    humanize=True,
    human_preset="careful",  # slower typing, more idle pauses
)

Careful preset changes: typing 100±50ms (vs 70±40ms), click aim 80-180ms (vs 60-140ms), idle_between_actions enabled with 0.4-1.0s pauses.

Phase 3 — Custom Behavior Profile

Override individual parameters for site-specific tuning:

from cloakbrowser import HumanConfig

custom = HumanConfig(
    typing_delay=150,
    typing_delay_spread=60,
    typing_pause_chance=0.15,
    mistype_chance=0.03,
    mouse_wobble_max=2.0,
    click_aim_delay_input=(100, 200),
    scroll_delta_base=(60, 100),
    idle_between_actions=True,
    idle_between_duration=(0.5, 1.5),
)

browser = launch(humanize=True, human_config=custom)

Phase 4 — Per-Call Overrides

Override behavior for individual interactions:

# Slow, careful typing for password field
page.locator("#password").fill("secret", human_config={"typing_delay": 200})

# Fast click (bypass aim delay)
page.locator("#submit").click(human_config={"click_aim_delay_input": (0, 0)})

Phase 5 — Standalone Humanization (Without CloakBrowser)

Patch an existing Playwright page:

from playwright.sync_api import sync_playwright
from cloakbrowser.human import patch_page, resolve_config

pw = sync_playwright().start()
browser = pw.chromium.launch()
page = browser.new_page()

# Apply humanization to an existing page
config = resolve_config("default")
patch_page(page, config)

# All interactions now humanized
page.locator("#email").fill("user@example.com")

Behavioral Parameters Reference

Mouse Movement

| Parameter | Default | Effect | |---|---|---| | mouse_steps_divisor | 8 | Controls smoothness (lower = smoother, more steps) | | mouse_min_steps | 25 | Minimum steps per movement | | mouse_max_steps | 80 | Maximum steps per movement | | mouse_wobble_max | 1.5 px | Sideways sinusoidal wobble amplitude | | mouse_overshoot_chance | 0.15 | Probability of overshooting target | | mouse_overshoot_px | (3, 6) px | Overshoot distance |

Movement algorithm: Cubic Bézier curve with 2 random perpendicular control points → ease-in-out cubic easing → sinusoidal wobble → 15% overshoot chance with correction.

Keyboard Typing

| Parameter | Default | Effect | |---|---|---| | typing_delay | 70 ms | Average per-character delay | | typing_delay_spread | 40 ms | Random spread around delay | | typing_pause_chance | 0.10 | Thinking pause probability per character | | typing_pause_range | (400, 1000) ms | Thinking pause duration | | mistype_chance | 0.02 | Typo probability per character | | mistype_delay_notice | (100, 300) ms | Time before noticing typo | | mistype_delay_correct | (50, 150) ms | Time to correct typo | | field_switch_delay | (800, 1500) ms | Delay when switching between form fields |

Typing algorithm: Per-character delay with random spread → 10% pause chance → 2% typo chance (nearby key → notice → backspace → retype) → Shift symbols via CDP Input.dispatchKeyEvent for isTrusted=true.

Scrolling

| Parameter | Default | Effect | |---|---|---| | scroll_delta_base | (80, 130) px | Scroll distance per step | | scroll_accel_steps | (2, 3) | Acceleration phase steps | | scroll_decel_steps | (2, 3) | Deceleration phase steps | | scroll_overshoot_chance | 0.10 | Probability of overshooting | | scroll_overshoot_px | (50, 150) px | Overshoot distance | | scroll_target_zone | (0.20, 0.80) | Target zone in viewport | | scroll_settle_delay | (300, 600) ms | Delay after reaching target |

Scroll algorithm: Accelerate (2-3 steps, 80-100px) → cruise (80-130px, burst into 20-40px wheel chunks at 8-20ms intervals) → decelerate (2-3 steps, 60-90px) → 10% overshoot chance with correction.

Click Behavior

| Parameter | Default | Effect | |---|---|---| | click_aim_delay_input | (60, 140) ms | Delay before clicking input elements | | click_aim_delay_button | (80, 200) ms | Delay before clicking buttons | | click_hold_input | (40, 100) ms | Hold duration on inputs | | click_hold_button | (60, 150) ms | Hold duration on buttons | | click_input_x_range | (0.05, 0.30) | Click position within input (left side) |

Idle Behavior

| Parameter | Default | Effect | |---|---|---| | idle_between_actions | False | Enable micro-movements between actions | | idle_between_duration | (0.3, 0.8) sec | Idle duration between actions | | idle_drift_px | 3 px | Random cursor drift during idle | | idle_pause_range | (300, 1000) ms | Idle pause duration | | initial_cursor_x | (400, 700) px | Starting cursor X (address bar area) | | initial_cursor_y | (45, 60) px | Starting cursor Y (address bar area) |

Presets

| Preset | Typing | Aim Delay | Idle Between | Use Case | |---|---|---|---|---| | default | 70±40ms | 60-140ms | No | Normal human speed | | careful | 100±50ms | 80-180ms | Yes (0.4-1.0s) | Slower, more deliberate |

Pitfalls

  • Humanize requires the wrapper. Connecting via CDP without the wrapper loses humanization — only fingerprint patches work over raw CDP.
  • ElementHandle objects bypass humanization in Playwright. Use page.click(selector) or page.locator(selector).* — avoid query_selector() handles.
  • page.fill() with humanize clears existing content and types character by character. This is intentional but slower than raw fill().
  • Typing speed profiling exists. Some sites measure ms-between-keystrokes. Use careful preset or increase typing_delay for suspicious targets.
  • Scroll-to-element is automatic. On click/hover, the element is scrolled into view with human scroll before interaction.
  • CDP Isolated Worlds are used for stealth DOM queries. This prevents monkey-patch detection in the main JavaScript context.

Verification

  1. Test against https://deviceandbrowserinfo.com — should show 24/24 behavioral signals passed.
  2. Compare reCAPTCHA v3 scores with and without humanize=True — humanize should increase score by 0.2-0.4.
  3. Use browser DevTools Performance tab to record a session — mouse events should show realistic timing curves, not instant jumps.
  4. Verify Input.dispatchKeyEvent events have isTrusted: true in the event listener.

Related Skills

  • stealth-browser-launch — Launch the patched Chromium binary with C++ fingerprint modifications.
  • tls-fingerprint-impersonation — TLS/JA4 fingerprint spoofing for HTTP-level evasion.

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryAutomation
Updated29d ago
Forks215

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions