| 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. |
| metadata | {"author":"elemontcapital"} |
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"
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