slop-check

A Claude Code skill that audits content for AI slop patterns and scores it across 8 dimensions. Built on the Awwra anti-slop framework (last updated April 2026).

What it does

Paste any content — a tweet, reply, thread, or article — and get back:

• Every Tier 1 violation with the exact offending quote
• Pass/fail on 3 quality gates (adds value, takes position, stops scroll)
• Scores across 8 dimensions (1–10 each)
• Top 3 issues with actionable rewrite directions
• A final verdict: PASS, NEEDS REWRITE, or REWRITE

Install

npx skills add ./slop-check -y -g

Or drop the slop-check folder directly into your ~/.agents/skills/ directory.

Usage

/slop-check

Then paste the content you want audited. The skill will ask if you don't provide it upfront.

You can also specify the platform:

/slop-check [X post]
/slop-check [ViewFT article]
/slop-check [LinkedIn post]

If not specified, the skill infers the platform from content length and style.

Scoring

no_ai_tells and humanness are weighted 1.5x in the overall score.

Thresholds:

• ≥ 8: PASS
• 6–7: NEEDS REWRITE (fixable)
• < 6: REWRITE (don't post as-is)

What it checks

Tier 1 — Automatic disqualifiers

Any single violation here means rewrite before posting.

• Banned formatting: em dash, bold markdown, emoji closers
• Banned openers: sycophantic agreement, restating the original post
• Banned filler phrases: "It's worth noting", "At the end of the day", "Furthermore,", etc.
• Banned vocabulary (3 layers):
  • Original: pivotal, robust, delve, tapestry, synergy, certainly, etc.
  • 2026 general: game-changer, move the needle, narrative, in this space, etc.
  • April 2026 crypto/AI: execution risk, price action, conviction, flywheel, moat, macro tailwinds, etc.
• Banned structural patterns (3 layers):
  • Original: symmetric takes, three bullet points, generic conclusions, engagement bait, etc.
  • 2026 general: "we're early" safe harbor, authenticity performance, definition opener, uniform sentence weight
  • April 2026: hourglass close, even paragraphing, template paragraph structure, definition stacking, policy voice without specifics, false certainty, consensus-adjacent take, asymmetric polish, fake burstiness

Tier 2 — Quality gates

• Gate 1: Adds at least one specific data point, named example, reframe, prediction, or first-person observation
• Gate 2: Takes a falsifiable position — someone smart could push back
• Gate 3: First 8 words earn the read — no context-setting openers

The core test

"Would a sharp human who actually lives in this space, with strong opinions, say exactly this?"

If the answer is "probably not" or "it's fine" — that's a 5. Fine is slop.

April 2026: second-generation slop

Newer models (GPT-5.1, Claude 4) suppress the obvious tells — em dash, "delve", three bullet points — by default. The slop hasn't gone away. It's gone underground.

The patterns to watch now:

• Fake burstiness — models trained to vary sentence length produce mechanical short-long-short-long alternation. Real human variation is chaotic. Read the draft aloud: if it sounds like a metronome, rewrite it.
• Asymmetric polish — intro and outro are fluent, middle is thin. Uniform polish throughout is itself a texture tell.
• Consensus-adjacent take — sounds opinionated but reflects the median view. AI defaults to the broadly acceptable middle ground.
• Even paragraphing — all paragraphs the same length. Humans don't distribute information symmetrically.
• Hourglass close — every post ends with a zoom-out synthesis. Humans often just stop when they've said the thing.

The suppressed-tell trap: a post conspicuously free of classic tells + second-gen patterns present is itself a signature. CT readers have calibrated for this since 2024.

Platform notes

• X / Twitter: Short posts under 100 chars skip even-paragraphing and template structure checks.
• ViewFT articles: humanness and original_take weighted higher — the citation economy (ChatGPT, Perplexity, Grok) requires specificity, not just slop-free text.
• Threads: First tweet scored for scroll-stopping; full thread scored for structural patterns.
• Replies: Gate 1 requires something the original tweet didn't already have.

Credits

Built by Viewfin Labs — the team behind ViewFT and Awwra.

• ViewFT — credibility-first publishing with ViewCred score
• Awwra — AI creator growth platform for crypto/AI/SaaS creators

Anti-slop framework developed for the @A11anTa and @viewftcom content pipelines.

License

MIT