.claude/skills/anti-slopRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Detects and removes "AI slop" — the formulaic vocabulary, sentence structures, sycophantic openers/closers, over-formatting (bullet walls, bold spam, needless headers), and code anti-patterns (over-engineering, swallowed errors, hallucinated APIs, dead code) that make writing or code read as generic
These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.
These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.
.claude/skills/anti-slopRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/anti-slopRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/anti-slopRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @anjasta-tarigan/anti-slopclawhub inspect @anjasta-tarigan/anti-slop --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.
sha256:415276f5570711d559a398112df02f8b899d7cdc3ad2e1554773b1041d08ae28README.mdreferences/code-slop.mdreferences/prose-tells.mdreferences/research-notes.mdreferences/self-edit-checklist.mdscripts/slop_scan.pyskill-card.mdSKILL.md- Initial release of anti-slop. - Detects and removes overused AI patterns in writing and code, such as formulaic vocabulary, sycophantic phrases, excessive formatting, and common code anti-patterns. - Provides a self-edit workflow: draft content normally, then edit for slop patterns using supplied references. - Targets both prose (essays, documentation, reports, creative writing) and code (over-engineering, error handling, abstraction issues). - Includes quantitative tools and detailed checklists for editing high-stakes or long-form documents.