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name: x-safety-filtering description: Use this skill when analyzing why content is not appearing, checking for "shadowban" conditions, or understanding the safety compliance layer. This skill covers the VisibilityLib logic that runs after candidate sourcing but before final ranking to ensure platform health. version: 1.0.0 license: MIT

X Safety & Filtering

Expert knowledge of X's VisibilityLib, covering safety labels, shadowban logic, NSFW filtering, and content health suppression mechanisms.

Context

The filtering stage is the "Gatekeeper" of the timeline. Even if a tweet has a high ML score from the Heavy Ranker, VisibilityLib can drop it entirely or apply a "Do Not Amplify" label that restricts it to the author's profile. This layer enforces legal compliance, user blocks, mutes, and platform safety rules (e.g., NSFW or Toxicity).

What it does

• Decodes "Shadowbans": Explains the specific internal labels (like SearchBlacklist) that cause users to perceive they are shadowbanned.
• Enforces User Preferences: Handles the logic for Mutes, Blocks, and "Show less often" signals.
• Manages Content Health: Identifies toxic content or misinformation using models like pToxicity and pAbuse and applies downstream penalties.
• NSFW Handling: Segments content into "Adult" or "Graphic" categories using pNSFWMedia and ensures it respects the viewer's sensitivity settings.

Guidelines

• SafetyLevel Context: Rules are evaluated based on the SafetyLevel (e.g., Timeline vs. Profile). A tweet might be visible on a Profile but blocked in the Home Timeline.
• The "Do Not Amplify" (DNA) Label: Disqualifies tweets from the "For You" (Out-of-Network) timeline and Search results without removing them from the profile.
• Visibility vs. Ranking: 1. Pre-Scoring: Hard filters (Drop) remove blocked or legally prohibited content. 2. Post-Scoring: Soft filters (Labels) apply safety checks (e.g., author diversity) after the Heavy Ranker has assigned scores.
• Toxicity Thresholds: If a user enters a "Reply Guy" mode with consistently high pToxicity scores, their account enters a state that limits the reach of all their future replies.
• Linear Decay: Negative reputation signals follow a linear decay model; an account can "heal" its reputation over time by stopping negative behavior.

Example Trigger Prompts

• "/safety-check shadowban or SearchBlacklist status"
• "/safety-check toxicity decay for @user"
• "/safety-check flagged content vs safe content ratio"
• "/safety-check audit applied filters on a thread"
• "what are the visibility rules affecting recent posts"
• "show suppressed accounts in a community"