Aim Lock Config File Today

To create a configuration that appears human, the config must prioritize Smoothness over Speed.

Notes: Keep sensitivity separate from smoothing to avoid compounding effects.

This configuration prioritizes raw performance and target acquisition speed. Aim Lock Config File

  • anti_detection (boolean) — whether to apply humanization features
  • enforce_line_of_sight (boolean) — re-check visibility before applying micro-adjustments
  • telemetry_allowed (boolean) — whether to send usage telemetry (for tools)

    • Ethics: Include clear labels and opt-in for any anti-detection features; many games consider aim-lock functionality cheating.

    Myth: You can download one aim.cfg file and paste it into Valorant to get aimbot. Reality: Valorant’s Vanguard runs at kernel level. It verifies the game’s memory signatures every 5ms. A simple config file cannot bypass this without an external driver (which is a felony in many jurisdictions). To create a configuration that appears human, the

    Myth: "Smoothing" makes an Aim Lock undetectable. Reality: Smoothing delays the teleport, but it does not hide the acceleration curve. Human aim accelerates slowly, then decelerates. AI smoothing produces linear or logarithmic interpolation. Cheat detection AI (like AnyBrain) identifies the difference with 99% accuracy.

    Myth: Changing the file extension to .txt hides it. Reality: Anti-cheats scan all text files in the game directory, regardless of extension. They look for keywords like "aimbot", "lock", "bone", and "fov". Ethics: Include clear labels and opt-in for any

  • activation_button (string) — e.g., "mouse3", "r3", "key_E"
  • target_priority (string) — "closest", "closest_fov", "threat", "health_low"
  • fov (number) — aim-lock field-of-view in degrees; only targets inside this cone considered
  • max_range (number) — meters or in-game units; 0 = unlimited
  • snap_strength (number) — [0.0–1.0] instantness of lock; 1.0 = instant snap
  • soften_curve (object) — optional easing behavior (type: "linear"/"ease_in"/"ease_out", exponent: number)
  • aim_offset (object) — x: number, y: number pixel or degree offsets to aim point (head/torso)
  • lead_prediction (object) — settings for moving targets:
  • reacquire_time (number) — seconds to wait before searching new targets after losing lock
  • ignore_obstacles (boolean) — whether line-of-sight checks are enforced

    • Security/compliance note: ignore_obstacles=false is required to respect visibility rules in many fair-play contexts.