Borrowing it
Nothing to install: this file belongs to cybertronai/SutroYaro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cybertronai/SutroYaro/main/.claude/skills/anti-slop-guide/SKILL.mdgit clone --depth 1 https://github.com/cybertronai/SutroYaroWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cybertronai/sutroyaro/anti-slop-guide)<a href="https://agentmods.dev/skills/cybertronai/sutroyaro/anti-slop-guide"><img src="https://agentmods.dev/badge/skills/cybertronai/sutroyaro/anti-slop-guide/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cybertronai/sutroyaro/anti-slop-guide"><img src="https://agentmods.dev/badge/skills/cybertronai/sutroyaro/anti-slop-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.05496 |
| Opus 5 | $0.00030 | $0.02748 |
| Sonnet 5 | $0.00012 | $0.01099 |
| Haiku 4.5 | $0.00006 | $0.00550 |
Grade A, and why
anti-slop-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 602 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Slop Guide
Field guide for eliminating AI writing patterns from prose. Compiled from multiple sources including Wikipedia's Signs of AI Writing, community research, and practitioner guides.
Part 1: Core Rules
- Cut filler phrases. Remove throat-clearing openers and emphasis crutches. Say the thing directly.
- Break formulaic structures. Avoid binary contrasts, dramatic fragmentation, rhetorical setups.
- Vary rhythm. Mix sentence lengths. Two items beat three. End paragraphs differently each time.
- Trust readers. State facts directly. Skip softening, justification, hand-holding.
- Cut quotables. If it sounds like a pull-quote or motivational poster, rewrite it.
- Be specific. Replace generic statements with concrete details. Specificity is the antidote to slop.
- Prefer plain verbs. Use "said" not "emphasized," "used" not "leveraged," "showed" not "showcased."
- Use simple copulatives. Write "X is Y" instead of "X serves as Y" or "X stands as Y."
- Kill the em-dash habit. Use commas or periods where LLMs reflexively reach for em dashes.
- Never triple. Two items in a list, not three. Three-item lists are the most reliable AI tell.
Part 2: Overused "AI Vocabulary" Words
These words started appearing far more frequently in text after 2023. They co-occur in LLM output; where there is one, there are likely others. Introducing lots of them is one of the strongest tells for AI use.
Tier 1: Strongest Tells (almost certainly AI if clustered)
additionally, align with, crucial, delve, emphasizing, enduring, enhance, fostering, garner, highlight (as a verb), interplay, intricate/intricacies, key (as an adjective), landscape (abstract noun), pivotal, showcase, tapestry (abstract noun), testament, underscore (as a verb), valuable, vibrant
Tier 2: Strong Tells (very common in AI output)
- bustling, comprehensive, multifaceted, nuanced, paramount
- realm, robust, seamless/seamlessly, synergy, transformative
- commendable, cornerstone, groundbreaking, innovative, noteworthy
- spearhead, streamline, testament to, trailblazing, unwavering
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 602 lines · 59 tokens per session scan A 99aec9a24976
anti-slop-guide is a skill published in the GitHub repository cybertronai/SutroYaro (16 stars, last pushed 3mo ago), licensed Unlicense. It adds 59 tokens to every session and 5,496 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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