anti-slopDetects 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
Install via ClawdBot CLI:
clawdbot install anjasta-tarigan/anti-slopGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/user/anjasta-tariganAudited Oct 7, 2026 · audit v1.0
Generated Oct 7, 2026
A content team uses the skill to strip sycophantic openers, bullet walls, and triplet-heavy phrasing from AI-assisted blog posts and landing pages before publishing. The two-pass workflow preserves the writer's intent while replacing vague claims with concrete product details and metrics, making the copy sound editorially human.
Developer relations teams run new docs and tutorials through the anti-slop pass to catch hallucinated APIs, over-formatted headers, and defensive code examples that swallow errors. The reference files provide a repeatable checklist that reviewers can apply across prose and code samples in the same pass.
Researchers and consultants apply the skill to grant proposals and client reports over 800 words, using the workflow to reduce generic filler after a natural drafting session. They optionally run the quantitative scanner as a second opinion, then edit for density and specificity rather than dictionary-style word swaps.
Copywriting agencies trigger the skill whenever clients ask for text that is 'less like ChatGPT' or request a 'slop pass.' The two-pass editing method lets agencies deliver outputs that feel deliberate, with concrete details replacing hedge-everything phrasing and reflex formatting.
Engineering teams use the skill's code reference on internal tools and prototypes that were largely generated by AI assistants. The pass detects over-engineering, swallowed exceptions, dead code, and invented interfaces before these patterns become entrenched in production repositories.
Offer a free browser-based 'slop scanner' and self-edit checklist that helps individuals clean short pieces of writing. Paid tiers unlock the full reference library, batch document processing, and the quantitative scanner for reports and long-form content.
Sell seats to marketing, documentation, and copywriting teams that want a repeatable de-slopping workflow embedded into their editorial process. Include shared checklists, custom reference prompts, and analytics on keyword and formatting patterns across published content.
Use the skill as the backbone of a humanization and editorial-quality service where writers and editors run anti-slop passes on client deliverables. Complement with workshops that teach teams the two-pass drafting and editing method, using before-and-after examples.
💬 Integration Tip
Treat the reference files as a diagnostic checklist rather than a banned-word list; apply a second editing pass after drafting and prioritize replacing vague phrases with concrete tools, numbers, or claims. For long documents, run the quantitative scanner as a second opinion and use its output only to guide density-based edits, not mechanical deletions.
Scored Oct 7, 2026
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