tools: Skill for Cursor

.cursor/skills/no-ai-slop/SKILL.md

no-ai-slop is a skill for Cursor from smmariquit/tools. It costs 58 tokens per session (336 once invoked), scanned A, original, no licence file.

A set of writing rules aimed at avoiding generic or low-quality AI-sounding prose in READMEs, documentation, MDX, pull requests, and blog posts.

In plain words
What is it for?
Use it when writing or editing repository text, documentation, MDX, pull requests, or blog content. It is not intended for generating code.
Why use it?
It helps keep user-facing writing specific and natural instead of vague or repetitive.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is smmariquit/tools's own configuration. It tells Cursor how to work on tools itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything tools configures →

Reuse

Borrowing it

Nothing to install: this file belongs to smmariquit/tools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/smmariquit/tools/main/.cursor/skills/no-ai-slop/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/smmariquit/tools

Made for: Cursor.

Wrote 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.

agentmods badge for no-ai-slop

README.md
[![agentmods](https://agentmods.dev/badge/skills/smmariquit/tools/no-ai-slop/github.svg)](https://agentmods.dev/skills/smmariquit/tools/no-ai-slop)
Your own site
<a href="https://agentmods.dev/skills/smmariquit/tools/no-ai-slop"><img src="https://agentmods.dev/badge/skills/smmariquit/tools/no-ai-slop/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.

agentmods 80×15 button for no-ai-slop

Your own site · 80×15
<a href="https://agentmods.dev/skills/smmariquit/tools/no-ai-slop"><img src="https://agentmods.dev/badge/skills/smmariquit/tools/no-ai-slop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 336 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00058 $0.00336
Opus 5 $0.00029 $0.00168
Sonnet 5 $0.00012 $0.00067
Haiku 4.5 $0.00006 $0.00034

Measured 12d ago against content hash c29837830ff6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

no-ai-slop 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.

.cursor/skills/no-ai-slop/SKILL.md · 36 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 12d ago First seen · 36 lines · 58 tokens per session scan A c29837830ff6

Subscribe to this mod's changes

no-ai-slop is a skill published in the GitHub repository smmariquit/tools (5 stars, last pushed 4d ago), with no licence file. It adds 58 tokens to every session and 336 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 2026-08-31.

Related

Other skills, from other repositories

run-llms

Comprehensive guide for setting up and running local LLMs using Harbor. Use when user wants to run LLMs locally, set up or troubleshoot Ollama, Open WebUI, llama.cpp, vLLM, SearXNG, Open Terminal, or similar local AI services. Covers full setup from Docker prerequisites through running models, per-service…

av/harbor · 114 tokens

harbor

CLI toolkit for managing containerized LLM services. Use when the user wants to start, stop, configure, or manage AI/LLM services like Ollama, Open WebUI, llama.cpp, vLLM, LiteLLM, ComfyUI, and 250+ others. Triggers on requests to "run a model", "start ollama", "set up an LLM", "configure harbor", "manage services"…

av/harbor · 114 tokens

harbor-daytona

Use Harbor's Daytona sandbox platform for computer use — creating sandboxes, taking screenshots, sending mouse/keyboard input, and building agent loops. Use when the user wants to interact with a GUI, automate a desktop, do computer use, control a browser visually, or run Claude computer use against a Daytona sandbox.

av/harbor · 67 tokens

boost-modules

Skill "boost-modules" from av/harbor, covering harbor boost custom modules, module structure, quick reference, output methods and stream text to client.

av/harbor · 0 tokens

lc-curate-context

Decide which files a task actually needs, record that as a reusable llm-context rule, verify it against the codebase - including the files your selection references but leaves out - and pack it for your own context, a chat, or a sub-agent you dispatch. Load when choosing what code to put in front of a model, packing…

cyberchitta/llm-context.py · 90 tokens

composio

Use 1000+ external apps via Composio - either directly through the CLI or by building AI agents and apps with the SDK.

melandlabs/openloomi · 31 tokens