Audit the Webmatrices database to detect and remove spam posts.
npx skills add https://github.com/Bishwas-py/webmatrices-skills --skill spam-scanner
Please help me install this Agent Skill. Skill: spam-scanner Source: https://github.com/Bishwas-py/webmatrices-skills/tree/main/skills/spam-scanner Command: npx skills add https://github.com/Bishwas-py/webmatrices-skills --skill spam-scanner
Spam is a persistent moderation burden. This Skill detects and removes spam posts in the Webmatrices production environment and bans offending accounts to keep communities healthy.
Run targeted searches for spam patterns, review matches, and execute deletions and bans after confirmation.
High-intent search queries and answers about installing and using this skill.
Automate spam detection by auditing the production database with predefined keywords to identify spam patterns in posts and comments. The workflow searches for matches, flags offending content, and prepares records for batch moderation actions.
You can ban spammer accounts and delete posts through batch moderation actions. The workflow applies soft-deletes to flagged spam posts and executes account bans after you review the detected matches and provide confirmation.
Keyword-based spam moderation scans user comments against predefined spam keywords to identify malicious patterns. It matches text content across the production database, isolates offending entries, and queues them for deletion with confirmation guardrails.
MCP tooling and access control are required to run post cleanup workflows. These prerequisites ensure secure connections to the production database for executing keyword searches, soft-deleting spam posts, and banning offending user accounts.
The best way to avoid false positives when removing spam posts is using a confirmation-based moderation workflow. The system detects spam via keywords and requires explicit confirmation before executing any soft-deletions or account bans.
Keyword-based spam detection is limited to matching predefined terms and may miss contextually nuanced spam. It requires manual confirmation before executing deletions or bans to prevent false positives from inadvertently removing legitimate community posts.
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