Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add odinfree/stop-slop-refined --skill stop-slop-refinedgit clone --depth 1 https://github.com/odinfree/stop-slop-refinedWrote 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/odinfree/stop-slop-refined/stop-slop-refined)<a href="https://agentmods.dev/skills/odinfree/stop-slop-refined/stop-slop-refined"><img src="https://agentmods.dev/badge/skills/odinfree/stop-slop-refined/stop-slop-refined/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/odinfree/stop-slop-refined/stop-slop-refined"><img src="https://agentmods.dev/badge/skills/odinfree/stop-slop-refined/stop-slop-refined.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 | $0.00102 | $0.03396 |
| Opus 5 | $0.00051 | $0.01698 |
| Sonnet 5 | $0.00020 | $0.00679 |
| Haiku 4.5 | $0.00010 | $0.00340 |
Grade A, and why
stop-slop scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Flag clusters of tells, not isolated ones. A single em dash, one transition word, or perfect grammar alone means nothing. Mixed registers, salutations, and curly quotes alone (editors auto-curl them) are not AI evidence. How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stop Slop
Audit and rewrite prose to remove formulaic AI writing while preserving meaning, clarity, source boundaries, and useful voice.
This file is the package router and default operating guide.
Companion files:
- references/words.md
- references/patterns.md
- references/examples.md
- references/ai-role-and-reader-fit.md
- references/revision-artifact.md
Modes
rewrite (default) — Diagnose the full draft internally, rewrite it, then run a second reader pass. Return the clean prose first. Show issues, scores, or a diff when the user asks or when the changes need review.
detect — Flag only. No rewriting. Use when the patterns might be intentional, when auditing someone else's writing, or when the writer wants to fix things themselves.
Trigger detect when the user says "detect," "flag," "scan," "audit," "audit only," or "what's wrong with this." Default to rewrite otherwise.
Default baseline
Use plain writing for neutral notes, summaries, reports, documentation, research, and ordinary email.
- Use common words.
- Write complete sentences and keep closely related clauses together.
- Explain the literal mechanism before adding style.
- Keep a necessary technical term and explain it once.
- Repeat the correct noun when changing it would make the subject harder to track.
- Remove filler and decorative formatting.
An intentional fragment may stay when the source voice or format earns it. An analogy may stay when it makes an unfamiliar idea easier to understand after the literal explanation is clear. Apply a separate personal-voice overlay only when the user asks for it or the artifact already carries it.
Domain term collisions
In Starknet, ZK, cryptography, and post-quantum writing, do not use receipt, proof, or proof point as generic strategy words.
receiptreads like AI lingo and most readers do not know what it means.proofhas a literal meaning in this domain. Use it only for mathematical, cryptographic, legal, or source-quoted proof.evidenceis allowed. It is often the plain word when the sentence means support for a claim.
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 · 233 lines · 102 tokens per session scan A ac936317f253
stop-slop is a skill published in the GitHub repository odinfree/stop-slop-refined (11 stars, last pushed 15d ago), licensed MIT. It adds 102 tokens to every session and 3,396 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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